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Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR [chapter]

D. Louis Collins, Johan Montagnat, Alex P. Zijdenbos, Alan C. Evans, Douglas L. Arnold
2001 Lecture Notes in Computer Science  
doi:10.1007/3-540-45729-1_12 fatcat:kypyix2fj5bw5dimzrmires3n4

Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance

D. H. Miller
2002 Brain  
Abbreviations: BFV = brain fraction volume; BICCR = brain intracranial capacity ratio; BPF = brain parenchymal fraction; CIS = clinically isolated syndromes; COV = coef®cient of variance; EDSS = expanded  ...  disability status score; FLAIR =¯uid-attenuated inversion recovery; IVMP = intravenous methylprednisolone; MR = magnetic resonance; MSFC scale = Multiple Sclerosis Functional Composite scale; NAA = N-acetyl  ...  Progressive atrophy is readily detected in multiple sclerosis with a mean decrease in brain volume of 0.9% over 1 year.  ... 
doi:10.1093/brain/awf177 pmid:12135961 fatcat:zxyfwfxaizhira3tzf25x4ef6y

Functional brain reorganization for hand movement in patients with multiple sclerosis: defining distinct effects of injury and disability

H. Reddy
2002 Brain  
We therefore wished to test whether brain injury and disability lead to distinguishable patterns of activation with hand movement in patients with multiple sclerosis.  ...  Previous work has demonstrated potentially adaptive cortical plasticity that increases with brain injury in patients with multiple sclerosis.  ...  patterns of brain activity associated with movement in multiple sclerosis.  ... 
doi:10.1093/brain/awf283 pmid:12429592 fatcat:czcjvxfltfhirhdk4fdhpm3u2u

Has your patient's multiple sclerosis lesion burden or brain atrophy actually changed?

Xingchang Wei, Charles RG Guttmann, Simon K Warfield, Michael Eliasziw, J Ross Mitchell
2004 Multiple Sclerosis  
In this paper, we estimated the measurement error of an automated brain tissue quantification algorithm and determined the thresholds for statistically significant change of MRI-derived T2 lesion volume  ...  Twenty patients with MS were scanned twice within 30 min. Brain tissue volumes were measured using the computer algorithm. Brain atrophy was estimated by calculation of brain parenchymal fraction.  ...  Acknowledgements This study was partially supported by grants from National Institutes of Health (Contract grant numbers: P41RR013218, R01NS035142, R44MH057200  ... 
doi:10.1191/1352458504ms1061oa pmid:15327037 fatcat:z44denpmbjfkhp2iuttxhbqody

Brain atrophy: an in-vivo measure of disease activity in multiple sclerosis

EW Radü, K Bendfeldt, N Mueller-Lenke, S Magon, T Sprenger
2013 Swiss Medical Weekly  
New MRI tech-Abbreviations BBSI brain boundary shift integral BICCR brain to intracranial capacity ratio BPF brain parenchymal fraction CDMS clinically definite multiple sclerosis CIS clinically isolated  ...  Grey matter atrophy occurs in the earliest stages of MS, progresses faster than in healthy individuals, and shows significant correlations with MRI lesion load, cognitive function and measures of physical  ...  Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis.  ... 
doi:10.4414/smw.2013.13887 pmid:24264439 fatcat:tbapt5zqzrdbldvmiecwn67biy

A fully automatic and robust brain MRI tissue classification method

Chris A. Cocosco, Alex P. Zijdenbos, Alan C. Evans
2003 Medical Image Analysis  
A significant improvement in output quality was observed on subjects who exhibit morphological deviations from the model due to aging and pathology.  analysis of tissue volume in healthy and diseased  ...  Starting from a set of samples generated from prior tissue probability maps (a 'model') in a standard, brain-based coordinate system ('stereotaxic space'), the method first reduces the fraction of incorrectly  ...  Automated estimation of brain volume in multiple sclerosis with L aidlaw, D.H., Fleischer, K.W., Barr, A.H., 1998. Partial-volume bayesian BICCR. In: Insana, M.F., Leahy, R.M.  ... 
doi:10.1016/s1361-8415(03)00037-9 pmid:14561555 fatcat:ark3pj6owff6hplbu24xbuakmq

Evaluation of brain atrophy estimation algorithms using simulated ground-truth data

S. Sharma, V. Noblet, F. Rousseau, F. Heitz, L. Rumbach, J.-P. Armspach
2010 Medical Image Analysis  
Since brain atrophy is being increasingly used as a marker of disease progression in many neuro-degenerative diseases such as Multiple Sclerosis and Alzheimer's Disease, the validation of these tools is  ...  A number of analysis tools have been developed for the estimation of brain atrophy using MRI.  ...  Evan Fletcher (University of California, Davis) for his support on the BSI-UCD software.  ... 
doi:10.1016/ pmid:20219411 fatcat:txytawsghjetrl6fojzfatz66u