title: Multi-parametric analysis and registration of brain tumors: constructing statistical atlases and diagnostic tools of predictive value.
abstract: We discuss computer-based image analysis algorithms of multi-parametric MRI of brain tumors, aiming to assist in early diagnosis of infiltrating brain tumors, and to construct statistical atlases summarizing population-based characteristics of brain tumors. These methods combine machine learning, deformable registration, multi-parametric segmentation, and biophysical modeling of brain tumors.
authors.affiliation: Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
authors.forename: Christos
authors.initials: C
authors.lastname: Davatzikos
authors.forename: Evangelia I
authors.initials: EI
authors.lastname: Zacharaki
authors.forename: Ali
authors.initials: A
authors.lastname: Gooya
authors.forename: Vanessa
authors.initials: V
authors.lastname: Clark
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001703:Biophysics / Q000379:methods; D001921:Brain / Q000473:pathology; D001931:Brain Mapping / Q000379:methods; D001932:Brain Neoplasms / Q000473:pathology*; D057225:Data Mining; D005910:Glioma / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009362:Neoplasm Metastasis; D010363:Pattern Recognition, Automated / Q000379:methods; D011237:Predictive Value of Tests; D011379:Prognosis; D015203:Reproducibility of Results