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MEDx 3.4.3 Release Notes
MEDx 3.4.3 is the third version upgrade to MEDx 3.4. The new functionality
in this release is described below.
New Operating Systems Supported
- MEDx 3.4.3 is now officially supported on the Solaris 9 and RedHat
Linux 9 operating systems. The list below shows all supported operating
systems for MEDx 3.4.3:
RedHat 7, 8, 9
Solaris 7, 8, 9
Irix 6.5+
DICOM Reader Accepts DICOM Mosaic Image Format
-
The DICOM reader in MEDx v3.4.3 can now read MR images output from
the Siemens scanner that are in Mosaic format. The format of these
images, also known as Siemens Syngo, support multiple images in each
file.
Documentation: For more information on this feature, please
see Chapter 8 of the MEDx
User's Guide.
Location of feature in the MEDx GUI: The DICOM reader module
can be found under the Image->Open Image->File Format->DICOM
menu.
Analysis of Brain Lesions (ABLe) Enhancements
-
MNI Template brain used for registration. The ABLe module
has been upgraded to include the use of the MNI 152 subject brain
as a template for MR registration. When the option to Analyze
the whole brain with VOTL database is chosen, the input brain
is registered to the canonical MNI template, which is an average of
152 spatially normalized brains. This assumes the input volume is
an MRI. If CT, the input brain is registered to a CT template, which
has previously been aligned to the MNI template. A transformation
from MNI space to Talairach space (Talairach/Tournoux 1988) is then
applied. This transformation was previously created by registering
(with a 12 parameter affine model) a gray and white matter image mask
of the MNI brain to a gray and white matter image mask derived from
the VOTL database.
-
Single and Two Group Analysis. The Single Group Analysis option
is only available in VOTL Database mode. The user may determine a
minimum number of overlapping lesions (one from each subject) required
to be included in a group report. The group report will show all anatomic
structures where at least this many subjects had a lesion. Once the
report is complete, a colorwash image is created, representing the
fusion of the common lesion areas on top of a MRI template image in
Talairach space. The Two Group Analysis option is only available in
VOTL Database mode and is designed for a dissociation analysis. With
this type of analysis, two separate groups of subjects must be determined
a priori, usually based on some common deficit. The deficit is different
for the two groups. The purpose of this analysis is to generate three
reports. The first report represents the overlap of lesions common
to all subjects in Group A and none in Group B and lists these common
structures based on a query to the VOTL database. The second report
represents the overlap of lesions common to all subjects in Group
B and none in Group A and lists these common structures based on a
query to the VOTL database. The third report represents the overlap
of lesions common to all subjects in Group A and Group B and lists
these common structures based on a query to the VOTL database. Once
the report is complete, a group of colorwash images is created, representing
the fusion of the common lesion areas on top of a MRI template image
in Talairach space.
-
Behavior Analysis. With this type of analysis, an ascii file
containing a matrix of behavior scores (in columns) and subject names
(in rows) is required input. The maximum number of patients is 32.
The format of the file is shown below. Tabs can separate the entries.
|
PATIENTS
|
Behavior1
|
Behavior1
|
|
Pat1
|
.75
|
.90
|
|
Pat2
|
.85
|
.65
|
|
Pat3
|
.77
|
.88
|
The program will sort through the lesion images and will determine
pixel by pixel which images have a lesion at that location and which
do not. A t-test is then performed comparing the Behavioral measures
between the lesion and non-lesion groups for each pixel. The result
is a t-map image where the intensity of each pixel is equal to the
students t-value for that pixels behavior t-test. A t-map
image is generated for each behavior and these images are then placed
into a MEDx group page. An option exists to determine which subjects
had lesions and which did not for any chosen voxel in the t-map image.
- Load Brodmann Areas from VOTL Database. This button is used
to load a set of regions of interest (ROIs) representing all Brodmann
areas by the VOTL database. The only requirement is that the image be
in Talairach space based on the ABLe registration option. Therefore,
the Brodmann Areas can be overlaid on the input brain that has been
registered to Talairach space or on any of the t-map images generated
from the Behavioral analysis. An option also exists to load a subset
of Brodmann areas.
Documentation: For more information on these new features, please
see Section 17.8 in the
MEDx User's Guide.
Location of feature in the MEDx GUI: The Analysis of Brain Lesions
module can be found under the Volumetric menu in the toolbox.
New Mx Commands for 3D Contour Properties
-
With the new MxGetContourProperties and MxSetContourProperties
commands, the user can set and get the name of a 3D contour within
a script. This functionality was unavailable in previous versions
of MEDx.
Documentation: For more information on this feature, please
see the MEDx ImageScript
page.
Utility Scripts
-
ReadVarian.tcl: This script will allow the user to read in
MR data output from the Varion scanner.
-
ReadSDT.tcl: This script will allow the user to read in MR
data output from the Varian scanner in the SDT format.
-
WriteAIR.tcl: This script will allow the user to extract motion
parameters (translations and rotations) after running AIR 3.08 within
MEDx.
-
AccessDICOMManager.tcl: This script will allow you to access
the DICOM Manager's contents.
- DICOM_Save_ByCloningKeys_MR.tcl: Automatically preserve/transfer
header information from your existing DICOM MR images into DICOM MR
images you create with MEDx.
Location of feature in the MEDx Distribution: These utility
scripts can be found in the $PXHOME/tcl directory where $PXHOME is
the MEDx installation directory.
MEDx 3.4.2 Release Notes
MEDx 3.4.2 is the second version upgrade to MEDx 3.4. The new functionality
in this release is described below.
Additions to MEDx DICOM Capabilities - DICOM Reader
-
DICOM Nuclear Medicine images can be opened into MEDx starting with
version 3.4.2. Each of the eight image categories can be opened. These
categories are Static, Whole Body, Dynamic, Gated, Tomo, Gated Tomo,
Recon Tomo, and Recon Gated Tomo.
-
A new, filename-based user option has been added in version 3.4.2
to enable the user to open occasional MR and CT data for which the
options available in 3.4.1 are not ideal or at times not suitable.
A primary example of such data is temporally consecutive volumes,
such as fMRI volumes, where temporal relationship information has
not been well-defined in the image headers in the form of separate
Acquisition Numbers or separate unique Series identifiers or separate
Temporal Position Identifiers. Due to the absence of this information,
the new option enables the user to utilize file names to supervise
the number of volumes to be opened and the slice order.
-
A new option for CT and MR images has been added to the reader that
enables the user to select whether a volume containing one slice should
be opened as a 2D Image or as a Volume.
-
A new option has been added to the reader that enables the user to
specify a list containing DICOM file names and/or directory names
(when using MxOpenImageAsDicom, or by multi-selecting files in Open
Image) along with the choice to create or not create a Group to represent
the distinct items in this list. The user did not have the choice
to not create this Group in version 3.4.1 because it was always automatically
created. The user also did not have the choice in 3.4.1 to specify
a combination of file names and directories.
-
New optional arguments have been added to MxOpenImageAsDicom to add
support to ImageScript for the user options shown in the Open Image
panel of DICOM Defaults that are used for customizing the behavior
of the DICOM reader.
-
A new ImageScript command called MxDICOMGetDefaults has been added
to make the values of some DICOM Defaults available in ImageScript.
-
In version 3.4.1, when opening more than one file at once (such as
when opening a directory containing multiple files), the reader did
not open an image if it appeared multiple times under different file
names, but did not notify the user that a duplicate image scenario
was being encountered. In 3.4.2, when this scenario is encountered,
the user is notified, along with the suggestion that the DICOM Manager
can be used to address it. Please see the notes below on the new interactive
tool in the DICOM Manager for more information.
-
In version 3.4.2, we have improved our documentation of the DICOM
reader whose features have grown considerably since 3.4. Please find
this documentation in the form of new text, charts, and tables in
Chapter 8 of the MEDx 3.4.2 User's Guide.
-
The following defects found in version 3.4.1 have been repaired in
3.4.2.
-
Various problems related to saving and opening folders containing
DICOM data.
-
When opening DICOM data, header keys whose DICOM Value Representation
is SQ (Sequence), DT (Date Time), or FL (Floating Point Single)
were not being properly placed into the MEDx image header information.
Additions to MEDx DICOM Capabilities - DICOM Manager
-
In order to bring new images into the DICOM Manager, it is no longer
required to use the Add button. Starting with version 3.4.2, the use
of this button is merely recommended. Images can now be directly placed
(moved or copied) into any location under the DICOM Manager directory.
-
In version 3.4.1, if an image were present multiple times under different
file names under the DICOM Manager directory, the DICOM Manager occasionally
became corrupted and nonfunctional. This has been repaired, and the
duplicate image scenario addressed, in 3.4.2 by adding an interactive
dialog box that appears automatically when needed that enables the
user to select which image copy among the multiple copies should be
the one to be used by the DICOM Manager and to subsequently move the
non-selected copies out of the DICOM Manager to a user-specified directory.
This interactive tool automatically appears also when using the Add
button, if it is determined the Add would add an image more than once.
-
In version 3.4.1, although a single Study could be sent/"pushed"
to another DICOM application, it was not possible to send/"push"
a single Series or Image. This feature has been added in 3.4.2.
-
Two new buttons have been added to enable the user to copy images
from the DICOM Manager to a user-specified directory or to move images
out of the DICOM Manager to a user-specified directory.
-
Occasionally, a Series in DICOM can contain more than one kind of
DICOM object, for example both MR and CT. A new (fourth) browser has
been added to the DICOM Manager to enable the user to distinguish
between the different kinds while browsing the contents of the Series.
This browser becomes visible only when a Series does contain more
than one type of object.
-
A new column for Image Type has been added to the Image browser.
-
The following defects found in version 3.4.1 have been repaired in
3.4.2.
-
In the DICOM Manager, if multiple Studies were consecutively
deleted without pressing the Update DICOM Manager button until
after all Studies were deleted, a list of Studies incorrectly
continued to be shown in the Study browser after that update,
improperly suggesting some or all of the deletions did not take
place.
-
In the DICOM Manager, there were occasions where opening an entry
in the Image browser, and not in the Study and Series browsers,
was generating an error.
Additions to MEDx DICOM Capabilities - DICOM Query/Retrieve
-
In versions through 3.4.1, MEDx included a menu called Type of DICOM
System (located in DICOM Defaults) that served to configure in one
step the mode and look of the DICOM Query/Retrieve window to be compatible
with the query/retrieve behavior of the specific DICOM conformant
product selected in the menu. In version 3.4.2, the functionality
of this menu has been enhanced. When using this one-step tool in 3.4.2,
you can now select from approximately 120 DICOM conformant products,
including scanners, PACS systems, workstations, toolkits, and miscellaneous
other systems of varying scale.
-
Querying by Patient Name has been improved to increase the likelihood
of a Patient Name match, by automatically issuing consecutive queries,
if needed, that vary how exactly the user-specified last, first, and/or
middle name components are spliced, with and without the use of wild
card and/or delimiter characters.
Documentation: For more information on these features, please
see the MEDx User's Guide, Chapter 8.
Location of features in the MEDx GUI: The DICOM utilities can
be found under the Image->DICOM menu in the MEDx folder. The DICOM
defaults settings can be found under the DICOM Defaults option under
the Setup menu.
Integration of the Talairach database (VOTL) into the Analysis of Brain
Lesions (ABLe) module
-
The Analysis of Brain Lesions module has been upgraded to include
the use of the Volume Occupancy Talairach Label (VOTL) database from
Jack Lancaster's group
at the University of Texas Health Science Center in San Antonio. Now
lesion location can be quantified using the atlas derived from Damasio
and previously contained in Able (including only 11 slices from the
brain) or the VOTL database which includes all slices of the brain
in Talairach space. The reporting facilities for single subject and
group analysis of brain lesion images have been improved and include
percentage of brain regions taken up by the lesion as well as percentage
of the lesion in each brain region.
Documentation: For more information on this feature, please
see the MEDx User's Guide, Chapter 17 Section 17.8
Location of feature in the MEDx GUI: The Analysis of Brain
Lesions module can be found under the Volumetric menu in the toolbox.
Additions to the Talairach Daemon Interface
-
In previous versions of MEDx, the Talairach Daemon (RIC/UTHSCSA)
was used to obtain anatomic structures based on input Talairach coordinates.
Access to the Talairach Daemon required an internet connection. In
version 3.42, MEDx no longer accesses the Talairach Daemon over the
Internet, but instead accesses a comparable database known as the
VOTL (volume occupancy Talairach labels) which is installed locally
with the MEDx distribution. This VOTL database was provided by Prof.
Jack Lancaster from the RIC at the University of Texas Health Science
Center in San Antonio. Queries to this database can be structured
to include a search range, or nearest gray matter structure. Input
coordinates can be entered via a text file, or by the location of
markers on an image. The input coordinates may be either in classic
Talairach space or MNI-Talairach space.
Documentation: For more information on this feature, please
see the MEDx User's Guide, Chapter 31 Section 31.14
Location of feature in the MEDx GUI: The Talairach Database
Interface module can be found under the Functional or Volumetric menu
in the toolbox.
Option for conducting perfusion analysis without arterial input function
fitting
-
Absolute Cerebral Blood Volume (CBV) calculations require the normalization
of the relative CBV maps by an estimate of the arterial input volume.
While previous calculations automatically fit the arterial input function
(AIF) to a gamma variate, the new feature provides the option of conducting
the analysis without a fit. In the event of irregular arterial input
functions which may complicate the fitting process, the "No Fit"
option can enhance the accuracy of the calculations.
Documentation: For more information on these features, please
see the MEDx User's Guide, Chapter 33.
Location of features in the MEDx GUI: The Perfusion Analysis
utilities can be found under the Functional->Perfusion Analysis
menu in the toolbox.
Modification of the DES Reader and Integration of DES Writer into MEDx
-
The MEDx 3.4.2 DES Reader has been upgraded to fully support the
opening of images of the descriptor file format. This
format is supported by programs such as Alice and Cheshire. The DES
Reader now allows users to read groups of DES volumes in addition
to a single volume.
A new DES Writer, an important and powerful tool, has been integrated
into MEDx 3.4.2. Images of various formats may first be loaded into
MEDx and then saved in DES format. This module is capable of writing
out an image, an image volume, or a group of image volumes in DES
format.
Documentation: For more information on this feature, please
see the MEDx User's Guide, Chapter 5, Section 5.5.24 for the DES Reader
and Section 5.7 for the DES Writer
Location of feature in the MEDx GUI: The functionality of the
DES Writer can be found under Image ->SaveImageAs ->DES or Image
-> SaveGroupAs -> DES
Integration of the Philips Reader into the Open Image menu
-
With the new PHILIPS reader, the user does not even have to specify
the image type explicitly. A simple click on Apply in the Auto Detect
Format, is sufficient for MEDx to recognize the datatype of the specified
filename whereby the file is displayed automatically.
"Seeding of Dialog boxes with ImageScript functions
-
ImageScript is the scripting (macro) language in MEDx. A subset of
the ImageScript function calls pertains to activating dialog boxes
in MEDx. To pop-up a dialog box, one calls the command MxDialogxxx,
where xxx refers to the dialog box name (e.g. MxDialogOpenImage).
As of MEDx version 3.42, an additional argument to the ImageScript
command MxDialogxxx provides the user with the capability to pre-set
values in the dialog box and to reconfigure buttons. The user has
to simply specify the configuration file (tcl code), which is automatically
sourced, implementing the user specifications. This feature provides
the user with autonomy to adapt the functionality of the existing
dialog boxes for a particular application. It is required that the
user has some knowledge of the Tcl code for the dialog box under question.
Documentation: For more information on this feature, please
see the MEDx Help menu found in the File->ImageScript Execution
dialog box.
Logging of the MxPause ImageScript command
- The logger enables the user to keep track of a particular MEDx session
whereby simply sourcing the logged file becomes sufficient for repeating
the exact same analysis at a later time. The new Log Pause feature allows
the user to insert comments into the logged file and pause the running
script. Possible prompts such as "Please specify graphics"
for example could help clarify the analysis.
Documentation: For more information on this feature, please see
the MEDx Help menu found in the File->ImageScript Execution dialog
box.
FSL Scripting commands
-
Scripting commands, alternately referred to as Mx commands, are a
distinguishing feature of MEDx as they enable access to all MEDx features
through function calls. The scripting commands empower the user, enabling
him to add features of his own to MEDx. The current release of MEDx
provides Mx calls for FSL functions.
Documentation: For more information on this feature, please
see the MEDx User's Guide, Chapter 34.
Location of feature in the MEDx GUI: The FSL modules can be
found under the FSL menu in the toolbox.
Option for unwarping of echo-planar images (EPI) through FUGUE
- Distortions in echo-planar images are successfully removed through
FUGUE FMRIB's utility for geometric unwarping of EPI images.
A map of the residual magnetic field is calculated through two images
acquired with an echo offset. The phases of these images are initially
unwrapped prior to the calculation of the fieldmap which in turn is
used to unwarp the EPI images. The MEDx implementation of FUGUE while
true to its original FSL roots has an additional user-interface to facilitate
the various acquisition specifications.
Multichannel automatic segmentation option with nonuniformity correction
through FAST FMRIB's Automated Segmentation Tool.
-
The FAST technique which comes as part of the FSL package, accurately
differentiates between gray matter (GM), white matter (WM), cerebrospinal
fluid (CSF), and lesions without any user interaction. The method
provides a distinct advantage over other segmentation techniques due
to the intrinsic correction scheme it provides for intensity variations
resulting from RF inhomogeneities. The process is fully automated
and the outputs include a bias-field corrected input image as well
as probabilistic and/or partial volume segmentation maps.
Independent Component Analysis (ICA) through the Melodic option of the
FSL package
- The ICA based MELODIC option of FSL provides the MEDx user with the
opportunity of conducting model-free analysis. In non-exploratory approaches,
the response to activation is expected to conform to a user-defined
waveform. Yet in compromised regions of the brain, the response may
not adhere to this expectation. Exploratory techniques like ICA are
not model-based. Thus unexpected temporal responses to activation can
be detected through ICA as the technique extracts distinct temporal
components and the associated spatial maps taking into account the temporal
response from all pixels.
MEDx 3.4.1 Release Notes
MEDx 3.4.1 is the first version upgrade to MEDx 3.4. The new functionality
in this release is described below.
Major Feature List
-
Interpretation and Presentation of DICOM Images in MEDx. Starting
with version 3.4.1, DICOM images read into MEDx are interpreted based
on the content of the images describing the relationships between
the images in the DICOM Information Model. This improved mechanism
for interpreting DICOM images is one of the new major features in
3.4.1 and replaces the file name and directory name driven mechanism
previously used for interpreting DICOM images in versions of MEDx
through 3.4. Simply place all of your DICOM files immediately in and/or
somewhere under one directory and then open that directory in MEDx.
MEDx now contains support for opening DICOM images that are not DICOM
Part 10 images.
In addition to the new DICOM object interpretation mechanism, MEDx
now contains several object-specific major and minor improvements
and repairs. Selected improvements and repairs are as follows:
-
MEDx can now read DICOM PET images. PET images of the same series
can either be opened as a group of 3D volumes acquired at different
temporal durations, or as a group of group of 2D images such that
the 2D images in a group of 2D images are at the same spatial
location and have been acquired at different temporal durations.
Temporal information is automatically extracted when reading the
PET images so that it may be used to generate time activity curves
by using the Time Stamp Entry and Time Activity Curve dialog boxes.
-
MR images of the same series can now be opened also as a group
of volumes where each volume corresponds to a different time point
as determined by the value of the Temporal Position Identifier
attribute. This feature is useful for dynamic and functional MR
data that contains this attribute.
-
Some image orientation and display problems that appeared for
some CT and MR images have been repaired in 3.4.1.
-
The ImageScript function MxOpenImageAsDicom has been repaired
and improved to reflect this latest DICOM reader in MEDx 3.4.1.
-
The values of the DICOM attributes in the images opened can now
be accessed more intuitively in MEDx 3.4.1. For each attribute,
the name of the key in Image Header Info corresponding to it now
contains the DICOM text description of the attribute followed
by the DICOM hexadecimal tag designation of the attribute. For
example, PatientID_0010_0020. The values of the attributes in
the images opened are accessible also by using the ImageScript
function MxGetHeaderInfo.
-
Secondary Capture images could previously be opened in MEDx only
if they were RGB images that were color-by-pixel (RGBRGB…). MEDx
can now also open color-by-plane (RRR…GGG…BBB) RGB, as well as
monochrome Secondary Capture images.
-
All meaningful values for the (Bits Allocated, Bits Stored, High
Bit) triplet are now supported in MEDx. The meaningful values
for this triplet are as follows. Bits Stored must be less than
or equal to Bits Allocated. High Bit must be less than or equal
to Bits Allocated minus 1 and greater than or equal to Bits Stored
minus 1.
-
Importing and Exporting DICOM images in MEDx. DICOM transfer
syntaxes are used when images are transferred over the network via
DICOM. The default DICOM transfer syntax is called Implicit VR Little
Endian. MEDx now supports two other DICOM transfer syntaxes: Explicit
VR Little Endian and Explicit VR Big Endian. The support for these
"explicit VR" transfer syntaxes in which the data type of DICOM attributes
is explicitly encoded into an image enables MEDx to preserve vendor-private
DICOM attributes through image transfers, as well as to interpret
these attributes correctly when the images are opened.
-
Managing DICOM images in MEDx. A new tool called the DICOM
Manager is available in MEDx. The DICOM Manager enables users to browse,
open, delete, send, and manage all of their DICOM data in one place.
Minor Feature List
-
Latest SPM'99 Support. We have revised the SPM'99 exectuables
to include the latest changes and fixes from the SPM group.
-
Perfusion Analysis. The perfusion analysis module now provides
an option for manual selection of arterial input pixels.
MEDx 3.4 Release Notes
This document describes new functionality added to MEDx and included
in version 3.4. A CD-ROM including the version 3.4 software binaries will
be mailed to current MEDx subscription holders. PDF files of the MEDx
user's guide will be included on the CD-ROM. For those with Internet access,
the software and User's Guide are available via anonymous ftp. Contact
medxsales@sensor.com for
further downloading and license information.
These release notes are split into two main sections: major features
and minor features. A brief description is provided for each feature as
well as a reference to the MEDx User's Guide for a more full explanation.
Major Feature List
-
SPM'99. Over the last year, the incorporation of SPM-99 into
MEDx has been the most-requested new feature. We have built an executable
version of SPM-99 that will be distributed with MEDx 3.4. This version
of SPM-99 will be started from a menu within MEDx, and will have the
same look and feel as the interpreted Matlab version. It will not
require a Matlab license to run; it will, however, require a valid
MEDx 3.4 or higher license.
Folder->Toolbox->SPM->SPM99
See the MEDx User's Guide, Chapter
32, Section 32.1
-
FSL. This new module is a collection of functional and structural
brain image analysis tools developed by the Image Analysis Group at
Oxford University under the leadership of Dr. Stephen Smith. The structural
tools consist of an automatic brain extraction tool (BET), a Linear
Registration Tool (FLIRT), and a noise reduction technique based on
Smallest Univalue Segment Assimilating Nucleus (SUSAN). The Easy Analysis
Tool (FEAT) provides a very straightforward and easy-to-use interface
for the fMRI data analysis process. This interface enables the user
to specify pre-processing steps such as motion correction, spatial
filtering, global intensity normalization, and temporal filtering.
The user can also specify a paradigm and the statistical method for
individual or group analyses. The functional analyses employ a General
Linear Model and a model-free approach for cases where no a priori
knowledge of the expected response exists. FSL also includes tools
for analyzing event-related fMRI experiments. The FSL module provides
a powerful, fast, and robust alternative set of tools that complement
and enhance the existing MEDx tool set.
Folder->Toolbox->FSL
See the MEDx User's Guide, Chapter
34
-
The Analysis of Brain Lesions module is a tool to characterize
lesions in MRI or CT images of the adult human brain. Module functionality
includes:
-
Determination of the lesion volume
-
Spatial normalization of the input brain into Talaraich space
-
Percent of total brain volume taken up by the lesion
-
Quantification of Brodmann Area intersections based on Damasio
Atlas
- Reporting routines allowing for group lesion display
Folder->Toolbox->Volumetric->Analysis of Brain Lesions
See the MEDx User's Guide, Chapter
17 Section 17.8
Minor Feature List
-
MR Parameter Estimation. This module will estimate relaxation
and diffusion parameters from various MR acquisition schemes. Summary
Estimates of MR parameters T1-relaxation, T2-relaxation and Apparent
Diffusion Coefficient (ADC) can be useful for differentiating physical
tissue characteristics in MRI data. Different tissue types have characteristic
T1 and T2 values. Values outside the normal range for a given tissue
type may indicate pathology. True T1 and T2 maps also yield better
tissue segmentation than T1 or T2-weighted images. Calculated ADC
maps from diffusion weighted images estimate the diffusion coefficient
of water at each voxel. These maps can be useful for identifying tissue
at risk after stroke. Chi-square (x2) maps measure goodness of fit
of the model to (inversion, saturation or multi-echo) data.
Folder->Toolbox->Functional->MR Parameter Estimation
See the MEDx User's Guide, Chapter
17
-
New Option in Talairach Daemon Interface. A new option has
been provided in the Talairach Daemon Interface for those running
MEDx on Sun Solaris or SGI IRIX platforms. This new option, "Load
by Markers" allows the user to select voxels on the volume by clicking
with the left mouse button. The Talairach coordinates of these marker
locations are automatically loaded into the Talairach Daemon Interface.
Folder->Toolbox->Functional->Talairach Daemon Interface Folder->Toolbox->Volumetric->Talairach
Daemon Interface
See the MEDx User's Guide, Chapter
31, Section 31.14
-
Flip Volume. A new option has been added to the Image and
Transformation menus (in 3D mode) allowing the user to manipulate
the orientation of the volume. This module provides for flipping the
orientation of the volume from left to right, or top to bottom. In
addition, the user may reverse the slice order of the volume.
Folder->Toolbox->Transformation->Flip Volume
Folder->Image-> Flip Volume
See the MEDx User's Guide, Chapter
19, Section 19.3
- Single-Group t-Test. An option is now available to perform
a single group t-test in order to perform a group analysis of fMRI data.
The user provides a group of contrast images and a mean with which to
compare.
Folder->Toolbox->Functional->Group Statistics->Within Group
MEDx 3.3 Release Notes
Major Feature List
- MRI Perfusion. Estimates of Cerebral Blood Flow (CBF), Cerebral
Blood Volume (CBV) and Mean Transit Time (MTT) are computed from several
different algorithms based on MR perfusion imaging of the brain with
a Gadolinium contrast agent. Many of these methods use gamma-variate
fitting of the ‘first pass response’ at every pixel and numerical deconvolution
of the input tissue curve to find the residue. This module also includes
methods to automatically segment arterial voxels. The perfusion module
is the first add-on module available for MEDx. It does not come with
the MEDx 3.3 upgrade but can be purchased separately (medxsales@sensor.com).
Folder->Toolbox->Functional->Perfusion
See the MEDx User's Guide, Chapter
33
- Estimation of Spatial Smoothness. Methods to estimate spatial
smoothness of a statistical image have been added. The output of this
option is used for proper z-map threshold calculations in the Critical
Threshold option and for Cluster Detection of z-maps. This option as
well as the Critical Threshold and Cluster Detection have been included
in one dialog box named Final Significance.
See the MEDx User's Guide, Chapter
31, Section 31.13
- Talairach Daemon Interface. The Talairach Daemon, developed
at the Research Imaging Center at the University of Texas Health Science
Center at San Antonio, is a high-speed database server for querying
and retrieving data about human brain structure over the Internet.
A MEDx interface has been developed to query this Daemon. Talairach
coordinates can be entered into the user interface manually or by loading
an ascii file (e.g. output from MEDx local min/max reporter).
Folder->Toolbox->Functional->Talairach Daemon Interface
See the MEDx User's Guide, Chapter
31, Section 31.14
- Save/Send as DICOM. DICOM part 10 format has been added to
the list of export image formats. The following modalities are supported:
MR, CT, CR. The user may export a single slice, a volume, or group of
volumes as a study. This study may be sent via DICOM protocol to any
specified DICOM destination.
Folder->Image->Save Image As->DicomFolder->Image->DICOM->Send
See the MEDx User's Guide, Chapter
5, Section 5.7.2, and Chapter
8, Section 8.2.4.
Minor Feature List
-
Polynomial de-trending. Polynomial de-trending In previous
versions of MEDx, for each voxel, only a linear trend in fMRI data
could be detected and removed from the time series. In this version,
the user may specify the order of the de-trending algorithm. The order
must be less than the number of scans in the time series.
An additional argument was added to the MxIntensityDetrending ImageScript
command to specify the order of detrending. Any previous scripts using
the MxIntensityDetrending function will need to be modified. The current
usage of this command is provided below:
Function: MxIntensityDetrending
Usage: MxIntensityDetrending $input $srcgroup order percent
\ slopeimg baselineop [baseline]
Parameters: input (group) - image(s) to be detrended
srcgroup (group) - parameter estimation images used for detrending.
order (integer) - order of polynomial to be used in basis functions
percent (real) - brain/non-brain threshold as a percent of the mean
maximum value
slopeimg (bool) - flag to specify if the slope and coefficient images
should be generated or not.
baselineop (flag) - flag to specify the basis for detrending. One
of Intercept or User Defined. When User Defined is selected the baseline
value to be added has to be specified. When Intercept is specified
then the intercept of the fitted line is added back.
baseline (real) - optional argument specified when the baselineop
is User Defined. Specifies the baseline value to be added back.
Return: 0 if successful 1 otherwise
Summary: Performs polynomial detrending on the input images
based on the polynomial fit of the parameter estimation images. The
order of the polynomial used to remove noise is specified in order.
The detrending is performed in place overwriting the input data in
the input group. A single mask of all pixels in the brain is generated
by AND'ing the masks obtained by thresholding each image. The percent
is based on the mean of the maximum of all the images.
Folder->Toolbox->Functional->Intensity Normalization->Polynomial
Detrending
See the MEDx User's Guide, Chapter
31, Section 31.8.2
-
Improved Paradigm Editor. The Paradigm Editor is used to describe
how the scans for an analysis of functional imaging data correspond
to the task conditions of your experiment (e.g. The first 10 scans
of your experiment correspond to an activation state). Two major changes
to the Paradigm Editor have been included in this version. (1) The
Apply Paradigm dialog box has been replaced by a button in the Paradigm
Editor dialog box. (2) A contrast field has been added. This contrast
field is used to specify weights for each epoch. The saved paradigm
file, containing these contrasts (weights) can serve as input for
the Correlation Analysis dialog box. If 0 contrasts are specified,
this dialog box behaves just as it did in previous versions of MEDx.
Folder->Toolbox->Functional->Define Paradigm
See the MEDx User's Guide, Chapter
31, Section 31.3
-
Lower and Upper Threshold in Statistics. Lower and Upper thresholds
are now included in the Statistics dialog box. In addition, interactive
statistics will now use the optional parameters. This new feature
will be beneficial if one wants to calculate the volume (or other
statistic) for voxels within an image that lie between a specified
threshold range.
Folder->Toolbox->Measurement->Statistics
See the MEDx User's Guide, Chapter
12, Section 12.3
Additions to Apply Shadow transform. Actually new in MEDx
3.28, this feature allows the application of a saved shadow transform
in either the forward or inverse direction. In addition, the Apply
Shadow Transform dialog box can be used for Pixel Reporting in the
forward or inverse direction of a saved transform. One possible example
of using the Pixel Reporter in this mode is to get Talairach coordinates
while looking at an image in it's native space. This assumes that
a Talairach transformation file has been saved.
Due to changes in the Shadow Transformation functionality, the Mx commmand
MxApplySavedTransform now requires different arguments. Any previous
scripts using the MxApplySavedTransform function will need to be modified.
The new documentation is below.
Function: MxApplySavedTransform
Usage: MxApplySavedTransform $input file type direction usepixelreport
[ result ]
Parameters:
input (image) - image to which the transform will be applied
file (string) - transform file
type (flag) - Into Talairach Space Talairach, Generic Reslice Reslice,
Generic Resample Resample, AIR transform AIR, Align Warp transform
Warp, Copy VOI Copy, or User transform User direction (flag) - Forward
or Inverse usepixelreport (boolean) - whether to apply the transform
for pixel reporting purposes result (image) - result of the transformation.
There is no result image if usepixelreport is true.
Returns: 0 if successful 1 otherwise
Summary: This function applies a previously saved transform
to the given input image storing the result result. type specifies
which type of transformation that is stored in the transform should
be used. The direction specifies whether the transform should be applied
forwards or inverse. In addition, instead of reslicing the input image,
the transform can be applied for pixel reporting purposes. In this
case, the coordinates of the input volume are reported as if the volume
had been transformed into the new space.
Folder->Toolbox->Transformation->Shadow Transform->Apply
- Improved Spatial Filtering GUI
In addition to specifying the kernel size for a Gaussian spatial filter
in pixels, one may now specify the kernel size as a percentage of area
under the Gaussian curve.
Folder->Toolbox->Functional->Filtering
See the MEDx User's Guide, Chapter
31, Section 31.7.1
-
MxWriteAIR, MxCombineAIR. Two new ImageScript functions have
been created to access the WriteAir and CombineAIR binaries provided
by Roger Woods at UCLA. These functions allow the user to write to
disk the Automated Image Registration (AIR) transformation file as
well as the ability to concatenate the AIR transformations into one
file.
File->ImageScript Execution
-
B-Short/B-Float File Readers. Two new file readers have been
made available. With these readers, the MEDx user may now open B-Short
and B-Float image files. Format options allow the user to specify
the x,y,z voxel size.
Folder->Image->Open Image->File Format
See the MEDx User's Guide, Chapter
5, Section 5.5.26
-
Option to disable the Progress window. Entering the ImageScript
command MxShowGasGauge 0 in the ImageScript Interactive Shell
will disable the progress window. Henceforth, the user will not see
status, in the form of percentage complete, for any of their MEDx
operations. This option is saved to disk as part of the user's defaults.
The progress window will remain in a disabled state until the command
MxShowGasGauge 1 is entered into the ImageScript Interactive
Shell.
File->ImageScript Execution->Interactive Shell
Folder->Display->Snap to Closest Slice
See the MEDx User's Guide, Chapter
7, Section 7.1.2
Folder->Toolbox->Measurement->Time Stamp Entry
See the MEDx User's Guide, Chapter
25, Section 25.2
-
Byte Swap and LPS Orientation options for AVW images. Two
new options are available for AVW (Analyze header) image data. The
user may save their images in AVW format and specify the byte order.
This is convenient if the user is saving an image on a machine with
LSB first (PC Linux) and wants to later open the image data on a machine
with MSB first (Sun Solaris). An additional option places LPS orientation
information (Left-Posterior-Superior) in the AVW header when an image
is saved. Henceforth, this image data will be opened into MEDx with
the correct orientation.
Folder->Image->Save Image As
See the MEDx User's Guide, Chapter
5, Section 5.7.1
Folder->Toolbox->Functional->Correlation Analysis->Construct
Model
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