Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis

Author:

Kotari Vikas1ORCID,Salha Racha2,Wang Dana2ORCID,Wood Emily1,Salvetti Marco3,Ristori Giovanni3,Tang Larry45,Bagnato Francesca6,Ikonomidou Vasiliki N.2

Affiliation:

1. Electrical Engineering Department; George Mason University; Fairfax VA

2. Bioengineering Department; George Mason University; Fairfax VA

3. Centre for Experimental Neurological Therapies (CENTERS); Department of Neurosciences; Mental Health and Sensory Organs; Sapienza University - S. Andrea Hospital; Rome Italy

4. IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, 86077, Pozzilli, IS; Italy (MS)

5. Department of Statistics; George Mason University; Fairfax VA

6. Vanderbilt University; Department of Neurology; Multiple Sclerosis Center; Nashville TN

Publisher

Wiley

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

Reference31 articles.

1. MR imaging in multiple sclerosis: review and recommendations for current practice;Lövblad;AJNR Am J Neuroradiol,2010

2. Quantification of subtle blood-brain barrier disruption in non-enhancing lesions in multiple sclerosis: a study of disease and lesion subtypes;Soon;Mult Scler,2007

3. Multiple sclerosis: the role of MR imaging;Ge;AJNR Am J Neuroradiol,2006

4. The evolution of multiple sclerosis lesions on serial MR;Guttmann;AJNR Am J Neuroradiol,1995

5. Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis;Duan;AJNR Am J Neuroradiol,2008

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