title: Diagnosis of brain abnormality using both structural and functional MR images.
abstract: A number of neurological diseases are associated with structural and functional alterations in the brain. This paper presents a method of using both structural and functional MR images for brain disease diagnosis, by machine learning and high-dimensional template warping. First, a high-dimensional template warping technique is used to compute morphological and functional representations for each individual brain in a template space, within a mass preserving framework. Then, statistical regional features are extracted to reduce the dimensionality of morphological and functional representations, as well as to achieve the robustness to registration errors and inter-subject variations. Finally, the most discriminative regional features are selected by a hybrid feature selection method for brain classification, using a nonlinear support vector machine. The proposed method has been applied to classifying the brain images of prenatally cocaine-exposed young adults from those of socioeconomically matched controls, resulting in 91.8% correct classification rate using a leave-one-out cross-validation. Comparison results show the effectiveness of our method and also the importance of simultaneously using both structural and functional images for brain classification.
authors.affiliation: Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA. yong.fan@uphs.upenn.edu
authors.forename: Yong
authors.initials: Y
authors.lastname: Fan
authors.forename: Hengyi
authors.initials: H
authors.lastname: Rao
authors.forename: Joan
authors.initials: J
authors.lastname: Giannetta
authors.forename: Hallam
authors.initials: H
authors.lastname: Hurt
authors.forename: Jiongjiong
authors.initials: J
authors.lastname: Wang
authors.forename: Christos
authors.initials: C
authors.lastname: Davatzikos
authors.forename: Dinggang
authors.initials: D
authors.lastname: Shen
mesh_terms: D000293:Adolescent; D001921:Brain / Q000187:drug effects* / Q000473:pathology*; D001927:Brain Diseases / Q000139:chemically induced* / Q000473:pathology*; D003042:Cocaine / Q000633:toxicity*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated; D011247:Pregnancy; D011297:Prenatal Exposure Delayed Effects / Q000139:chemically induced / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D003042:Cocaine