Literature DB >> 9368118

The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI.

P A Freeborough1, N C Fox.   

Abstract

We propose the boundary shift integral (BSI) as a measure of cerebral volume changes derived from registered repeat three-dimensional (3-D) magnetic resonance (MR) [3D MR] scans. The BSI determines the total volume through which the boundaries of a given cerebral structure have moved and, hence, the volume change, directly from voxel intensities. We found brain and ventricular BSI's correlated tightly (r = 1.000 and r = 0.999) with simulated volumes of change. Applied to 21 control scan pairs and 11 scan pairs from Alzheimer's disease (AD) patients (mean interval 386 days) the BSI yielded mean brain volume loss of 1.8 cc (controls) and 34.7 cc (AD); the control group was tightly bunched (SD = 3.8 cc) and there was wide group separation, the group means differing by 8.7 control group standard deviations (SD's). A measure based on the same segmentation used by the BSI yielded similar group means, but wide spread in the control group (SD = 13.4 cc) and group overlap, the group means differing by 2.8 control group SD's. The BSI yielded mean ventricular volume losses of 0.4 cc (controls) and 10.1 cc (AD). Good linear correlation (r = 0.997) was obtained between the ventricular BSI and the difference in their segmented volumes. We conclude the BSI is an accurate and robust measure of regional and global cerebral volume changes.

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Mesh:

Year:  1997        PMID: 9368118     DOI: 10.1109/42.640753

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  127 in total

Review 1.  Update on the magnetic resonance imaging core of the Alzheimer's disease neuroimaging initiative.

Authors:  Clifford R Jack; Matt A Bernstein; Bret J Borowski; Jeffrey L Gunter; Nick C Fox; Paul M Thompson; Norbert Schuff; Gunnar Krueger; Ronald J Killiany; Charles S Decarli; Anders M Dale; Owen W Carmichael; Duygu Tosun; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 2.  Alliance for aging research AD biomarkers work group: structural MRI.

Authors:  Clifford R Jack
Journal:  Neurobiol Aging       Date:  2011-12       Impact factor: 4.673

3.  Rates of brain atrophy and clinical decline over 6 and 12-month intervals in PSP: determining sample size for treatment trials.

Authors:  Jennifer L Whitwell; Jia Xu; Jay N Mandrekar; Jeffrey L Gunter; Clifford R Jack; Keith A Josephs
Journal:  Parkinsonism Relat Disord       Date:  2011-11-13       Impact factor: 4.891

4.  MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD.

Authors:  C R Jack; M Slomkowski; S Gracon; T M Hoover; J P Felmlee; K Stewart; Y Xu; M Shiung; P C O'Brien; R Cha; D Knopman; R C Petersen
Journal:  Neurology       Date:  2003-01-28       Impact factor: 9.910

5.  Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI.

Authors:  Sandhitsu R Das; Brian B Avants; John Pluta; Hongzhi Wang; Jung W Suh; Michael W Weiner; Susanne G Mueller; Paul A Yushkevich
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

6.  Temporal evolution of biomarkers and cognitive markers in the asymptomatic, MCI, and dementia stage of Alzheimer's disease.

Authors:  Daniela Bertens; Dirk L Knol; Philip Scheltens; Pieter Jelle Visser
Journal:  Alzheimers Dement       Date:  2014-08-20       Impact factor: 21.566

7.  Variation in Variables that Predict Progression from MCI to AD Dementia over Duration of Follow-up.

Authors:  Shanshan Li; Ozioma Okonkwo; Marilyn Albert; Mei-Cheng Wang
Journal:  Am J Alzheimers Dis (Columbia)       Date:  2013

8.  Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement.

Authors:  Kelvin K Leung; Ian M Malone; Sebastien Ourselin; Jeffrey L Gunter; Matt A Bernstein; Paul M Thompson; Clifford R Jack; Michael W Weiner; Nick C Fox
Journal:  Neuroimage       Date:  2014-12-04       Impact factor: 6.556

9.  Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data.

Authors:  Paul A Yushkevich; Brian B Avants; Sandhitsu R Das; John Pluta; Murat Altinay; Caryne Craige
Journal:  Neuroimage       Date:  2009-12-31       Impact factor: 6.556

10.  Rates of brain atrophy over time in autopsy-proven frontotemporal dementia and Alzheimer disease.

Authors:  Jennifer L Whitwell; Clifford R Jack; V Shane Pankratz; Joseph E Parisi; David S Knopman; Bradley F Boeve; Ronald C Petersen; Dennis W Dickson; Keith A Josephs
Journal:  Neuroimage       Date:  2007-10-10       Impact factor: 6.556

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