Automatic Registration Toolbox News

Automatic Registration Toolbox yuki v2.2 released

Babak Ardekani — Fri, 04 Nov 2022 1:53:02 GMT

This version does not use OpenMPI and therefore runs a little slower. This version includes an improved method for mid-sagittal plane (MSP) detection on which the corpus callosum is segmented.

acpcdetect v2.0 released

Babak Ardekani — Tue, 24 Apr 2018 12:55:45 GMT

The Automatic Registration Toolbox project is pleased to announced the beta release of acpcdetect version 2.0 software for automatic reorientation of 3D T1W brain MRI scans into standardized space. The method is based on automatic midsagittal plane and AC/PC detection. Both MacOS and Linux versions of the software are available.

Release of KAIBA Version 3.0 module of ART

Babak Ardekani — Tue, 06 Feb 2018 3:45:22 GMT

The Automatic Registration Toolbox (ART) project has released “kaiba version 3.0” a program that can be used to fully automatically measure a hippocampal parenchymal fraction (HPF) index from 3D T1-weighted MRI scans. HPF has been found to be reduced in neurodegenerative diseases and its rate of decline may be used to assess disease progression. Both Linux and MacOS binaries have been made available. The main advancement of Version 3.0 over previous versions is its ability to process multiple (>2) longitudinal MRI scans.

Release of Automatic Temporal Registration Algorithm (ATRA)

Babak Ardekani — Mon, 06 Nov 2017 2:10:42 GMT

The Automatic Registration Toolbox (ART) project is pleased to announce the release of Automatic Temporal Registration Algorithm (ATRA) software for unbiased and symmetric (inverse-consistent) registration of multiple intra-subject T1-weighted structural MRI brain scans. The program is accurate, robust, fast, and easy to operate. Youtube tutorials are provided for installing and running ATRA. The program has been tested for registration of as many as 40 MRI volumes from the same subject (Maclaren et al., Reliability of brain volume measurements: A test-retest dataset) with excellent results. It has also been extensively tested on data from ADNI, MIRIAD and OASIS.

Release of KAIBA Version 2.0

Babak Ardekani — Thu, 25 Aug 2016 1:41:45 GMT

The Automatic Registration Toolbox (ART) project has released “kaiba version 2.0” a program that can be used to fully automatically measure the volumetric integrity of the hippocampus from 3D T1-weighted MRI scans. “kaiba” computes a normalized hippocampal volumetric integrity (HVI) index on a single scan (cross-sectional mode) or on a pair of scans (longitudinal mode). HVI has been found to be reduced in neurodegenerative diseases and its rate of decline may be used to assess disease progression.

KAIBA release

Babak Ardekani — Fri, 13 Nov 2015 2:01:45 GMT

The Automatic Registration Toolbox (ART) project has released “kaiba” a program that can be used to fully automatically measure the structural integrity of the hippocampus from 3D T1-weighted MRI scans. “kaiba” computes a normalized hippocampal integrity (HI) measure on a single scan (cross-sectional mode) or on a pair of scans (longitudinal mode). HI has been found to be reduced in neurodegenerative diseases and its rate of decline may be used to assess disease progression.

Release of version 2.1 of 'yuki' CC segmentation program

Babak Ardekani — Fri, 27 Sep 2013 2:29:53 GMT

I am pleased to announce the release of version 2.1 of 'yuki', an automated corpus callosum segmentation program under the Automatic Registration Toolbox (ART) project. Two very useful features are added to version 2.1:

• Version 2.1 outputs a corpus callosum thickness profile measured along the length of the corpus callosum. Measurements are made at 99 points as lengths of line segments perpendicular to a medial axis of the corpus callousm starting from the splenium (inferior point) to the tip of the rostrum.

• The new -cc option allows measurements (area, perimeter, thickness profile, circularity, etc.) to be recalculated for manually edited (corrected) segmentations.

(Please see gettingstartedwithyuki_2.1.pdf under http://www.nitrc.org/projects/art for further details).

Babak A. Ardekani

Corpus Callosum Segmentation Software 'yuki'

Babak Ardekani — Wed, 30 Jan 2013 2:42:43 GMT

I am pleased to announce the release of version 2 of 'yuki', my automated corpus callosum segmentation program under the Automatic Registration Toolbox (ART) project. The two main changes from version 1 are:

• The algorithm was parallelized using Open MPI, increasing the processing speed approximately fourfold (e.g., less than 7 seconds on my 2.4 GHz Dual Quad-Core Linux computer by running in parallel 7 of the 8 existing Cores).

• –W and –Hampel options were added to output corpus callosum subdivisions according to the Witelson and Hampel et al. schemes, respectively.

(Please see gettingstartedwithyuki_2.0.pdf under http://www.nitrc.org/projects/art for further details).

Babak A. Ardekani

The ART of Corpus Callosum Segmentation

Babak Ardekani — Mon, 14 Jan 2013 5:57:21 GMT

I am pleased to announce the release of my program, “yuki,” a fully automated, fast, and robust method for segmentation of the corpus callosum mid-sagittal cross-sectional area from 3D T1-weighted structural MRI volumes, under the Automatic Registration Toolbox (ART) project.

Instructions for installing and running the program are provided in the file “gettingstartedwithyuki.pdf,” which can be downloaded under ART’s Corpus Callosum Segmentation package.

Regards,
Babak Ardekani

Release of corpus callosum segmentations from OASIS database

Babak Ardekani — Wed, 28 Mar 2012 1:01:56 GMT

The Automatic Registration Toolbox (ART) project has released 316 corpus callosum segmentations from all normal subjects included in the OASIS cross-sectional data. Each segmentation includes a gray scale image representing the subject's mid-sagittal MRI slice and a binary image indicating the location of the mid-sagittal cross-sectional area of the corpus callosum. The data are available under ART’s OASIS1 Release as file OAS1_cc_normal.tar.gz. -- Thanks to the OASIS project for allowing redistribution of derived data from their database.