title: Automatic alignment of brain MR scout scans using data-adaptive multi-structural model.
abstract: Accurate slice positioning of diagnostic MR brain images is clinically important due to their inherent anisotropic resolution. Recently, a low-res fast 3D "scout" scan has become popular as a prerequisite localizer for the positioning of these diagnostic high-res images on relevant anatomies. Automation of this "scout" scan alignment needs to be highly robust, accurate and reproducible, which can not be achieved by existing methods such as voxel-based registration. Although recently proposed "Learning Ensembles of Anatomical Patterns (LEAP)" framework [4] paves the way to high robustness through redundant anatomy feature detections, the "somewhat conflicting" accuracy and reproducibility goals can not be satisfied simultaneously from the single model-based alignment perspective. Hence, we present a data adaptive multi-structural model based registration algorithm to achieve these joint goals. We validate our system on a large number of clinical data sets (731 adult and 100 pediatric brain MRI scans). Our algorithm demonstrates > 99.5% robustness with high accuracy. The reproducibility is < 0.32 degrees for rotation and < 0.27mm for translation on average within multiple follow-up scans for the same patient.
authors: Department of CISE, University of Florida, Gainesville, FL USA. tichen@cise.ufl.edu
authors: Ting
authors: T
authors: Chen
authors: Yiqiang
authors: Y
authors: Zhan
authors: Shaoting
authors: S
authors: Zhang
authors: Maneesh
authors: M
authors: Dewan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001331:Automation; D001921:Brain / Q000473:pathology*; D016000:Cluster Analysis; D016208:Databases, Factual; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results