title: Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke.
abstract: We present an analysis framework for large studies of multimodal clinical quality brain image collections. Processing and analysis of such datasets is challenging due to low resolution, poor contrast, mis-aligned images, and restricted field of view. We adapt existing registration and segmentation methods and build a computational pipeline for spatial normalization and feature extraction. The resulting aligned dataset enables clinically meaningful analysis of spatial distributions of relevant anatomical features and of their evolution with age and disease progression. We demonstrate the approach on a neuroimaging study of stroke with more than 800 patients. We show that by combining data from several modalities, we can automatically segment important biomarkers such as white matter hyperintensity and characterize pathology evolution in this heterogeneous cohort. Specifically, we examine two sub-populations with different dynamics of white matter hyperintensity changes as a function of patients' age. Pipeline and analysis code is available at http://groups.csail.mit.edu/vision/medical-vision/stroke/.
authors: Computer Science and Artificial Intelligence Lab, MIT.
authors: Ramesh
authors: R
authors: Sridharan
authors: Computer Science and Artificial Intelligence Lab, MIT.
authors: Adrian V
authors: AV
authors: Dalca
authors: Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
authors: Kaitlin M
authors: KM
authors: Fitzpatrick
authors: Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
authors: Lisa
authors: L
authors: Cloonan
authors: Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
authors: Allison
authors: A
authors: Kanakis
authors: Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
authors: Ona
authors: O
authors: Wu
authors: Department of Neurology, Rhode Island Hospital, Alpert Medical School of Brown University.
authors: Karen L
authors: KL
authors: Furie
authors: Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
authors: Jonathan
authors: J
authors: Rosand
authors: Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
authors: Natalia S
authors: NS
authors: Rost
authors: Computer Science and Artificial Intelligence Lab, MIT.
authors: Polina
authors: P
authors: Golland
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