Title :
Automatic registration for multiple sclerosis change detection
Author :
Ettinger, G.J. ; Grimson, W.E.L. ; Lozano-Perez, T. ; Wells, W.M., III ; White, S.J. ; Kikinis, R.
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Abstract :
The authors are developing an automated 3D change detection system which accurately registers medical imagery (e.g., MRI or CT) of the same patient from different times for diagnosing pathologies, monitoring treatment, and tracking tissue changes. The system employs a combination of energy-minimization registration techniques to achieve accurate and robust alignment of 3D data sets. The bases for the registration are 3D surfaces extracted from the 3D imagery. Resultant structural changes in the data are identified by using an adaptive segmentation technique to automatically determine tissue morphology. The novel contributions of this work are its end-to-end automation of the change detection process and its high accuracy in monitoring and highlighting such physiological changes. The authors have applied this system to a multiple sclerosis study in which each patient had been imaged over 20 times for the purpose of tracking lesion evolution. This report describes preliminary registration performance analysis using this data
Keywords :
biomedical NMR; computerised tomography; medical image processing; 3D data sets alignment; CT; MRI; adaptive segmentation technique; automated 3D change detection system; automatic registration; energy-minimization registration techniques; medical diagnostic imaging; medical imagery; multiple sclerosis change detection; pathology diagnosis; physiological changes; tissue changes tracking; tissue morphology; treatment monitoring; Biomedical imaging; Biomedical monitoring; Computed tomography; Computerized monitoring; Magnetic resonance imaging; Medical diagnostic imaging; Medical treatment; Multiple sclerosis; Pathology; Patient monitoring;
Conference_Titel :
Biomedical Image Analysis, 1994., Proceedings of the IEEE Workshop on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5802-9
DOI :
10.1109/BIA.1994.315885