Literature DB >> 8933812

Accurate registration of serial 3D MR brain images and its application to visualizing change in neurodegenerative disorders.

P A Freeborough1, R P Woods, N C Fox.   

Abstract

PURPOSE: To propose and assess methods that permit the accurate and robust registration of serially acquired 3D MR scans and to demonstrate their application in neurodegenerative disorders.
METHOD: 3D T1-weighted brain images were obtained on two or more occasions from 10 normal subjects and 8 patients with neurodegenerative disorders (scan intervals 3-21 months). Variants of an automated registration procedure were compared according to the goodness and robustness of match in normal subjects. Consistency was measured using scan triplets. Change was visualized by "difference overlay images."
RESULTS: A multiresolution method was necessary for robust registration. Significant improvements in the registering of control scans were produced with voxel size correction (p < 0.05), matching only brain voxels (p < 0.05), and sinc interpolation (p < 0.05). Fast sinc resampling was 20 times faster than an equivalent previous method. Subvoxel accuracy was demonstrated. Difference overlay images showed little cerebral change in normal subjects; in Alzheimer disease patients, characteristic patterns of brain atrophy were observed even with scan intervals as short as 3 months.
CONCLUSION: This methodology permits subvoxel comparison of routinely acquired serial 3D MR brain scans. It is a sensitive method for tracking patterns and rates of neuroanatomical change.

Entities:  

Mesh:

Year:  1996        PMID: 8933812     DOI: 10.1097/00004728-199611000-00030

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  30 in total

1.  Measuring disease progression in frontotemporal lobar degeneration: a clinical and MRI study.

Authors:  E Gordon; J D Rohrer; L G Kim; R Omar; M N Rossor; N C Fox; J D Warren
Journal:  Neurology       Date:  2010-02-23       Impact factor: 9.910

Review 2.  A review of the automated detection of change in serial imaging studies of the brain.

Authors:  Julia Patriarche; Bradley Erickson
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

3.  Combining short interval MRI in Alzheimer's disease: Implications for therapeutic trials.

Authors:  J M Schott; C Frost; J L Whitwell; D G Macmanus; R G Boyes; M N Rossor; N C Fox
Journal:  J Neurol       Date:  2006-09-22       Impact factor: 4.849

4.  Optimization of the SNR-resolution tradeoff for registration of magnetic resonance images.

Authors:  Shoan C Kale; Jason P Lerch; R Mark Henkelman; X Josette Chen
Journal:  Hum Brain Mapp       Date:  2008-10       Impact factor: 5.038

5.  Atrophy progression in semantic dementia with asymmetric temporal involvement: a tensor-based morphometry study.

Authors:  S M Brambati; K P Rankin; J Narvid; W W Seeley; D Dean; H J Rosen; B L Miller; J Ashburner; M L Gorno-Tempini
Journal:  Neurobiol Aging       Date:  2007-07-02       Impact factor: 4.673

6.  Automatic voxel positioning for MRS at 7 T.

Authors:  Weiqiang Dou; Oliver Speck; Thomas Benner; Jörn Kaufmann; Meng Li; Kai Zhong; Martin Walter
Journal:  MAGMA       Date:  2014-11-20       Impact factor: 2.310

7.  Simulating Developmental Cardiac Morphology in Virtual Reality Using a Deformable Image Registration Approach.

Authors:  Arash Abiri; Yichen Ding; Parinaz Abiri; René R Sevag Packard; Vijay Vedula; Alison Marsden; C-C Jay Kuo; Tzung K Hsiai
Journal:  Ann Biomed Eng       Date:  2018-08-15       Impact factor: 3.934

8.  Poor correlation between perihematomal MRI hyperintensity and brain swelling after intracerebral hemorrhage.

Authors:  Allyson R Zazulia; Tom O Videen; Michael N Diringer; William J Powers
Journal:  Neurocrit Care       Date:  2011-12       Impact factor: 3.210

9.  Validation of a nonrigid registration error detection algorithm using clinical MRI brain data.

Authors:  Ryan D Datteri; Yuan Liu; Pierre-Francois D'Haese; Benoit M Dawant
Journal:  IEEE Trans Med Imaging       Date:  2014-07-30       Impact factor: 10.048

10.  Progressive deformation of deep brain nuclei and hippocampal-amygdala formation in schizophrenia.

Authors:  Lei Wang; Daniel Mamah; Michael P Harms; Meghana Karnik; Joseph L Price; Mokhtar H Gado; Paul A Thompson; Deanna M Barch; Michael I Miller; John G Csernansky
Journal:  Biol Psychiatry       Date:  2008-09-23       Impact factor: 13.382

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.