Adaptive template moderated spatially varying statistical classification
- 1 January 1998
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
- p. 431-438
- https://doi.org/10.1007/bfb0056228
Abstract
A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy. The new algorithm is a form of spatially varying classification (SVC), in which an explicit anatomical template is used to moderate the segmentation obtained by k Nearest Neighbour (k-NN) statistical classification. The new algorithm consists of an iterated sequence of spatially varying classification and nonlinear registration, which creates an adaptive, template moderated (ATM), spatially varying classification (SVC). The ATM SVC algorithm was applied to several segmentation problems, involving different types of imaging and different locations in the body. Segmentation and validation experiments were carried out for problems involving the quantification of normal anatomy (MRI of brains of babies, MRI of knee cartilage of normal volunteers) and pathology of various types (MRI of patients with multiple sclerosis, MRI of patients with brain tumours, MRI of patients with damaged knee cartilage). In each case, the ATM SVC algorithm provided a better segmentation than statistical classification or elastic matching alone.Keywords
This publication has 10 references indexed in Scilit:
- A high performance computing approach to the registration of medical imaging dataParallel Computing, 1998
- Quantitative magnetic resonance imaging of brain development in premature and mature newbornsAnnals of Neurology, 1998
- The use of active shape models for making thickness measurements of articular cartilage from MR imagesMagnetic Resonance in Medicine, 1997
- A digital brain atlas for surgical planning, model-driven segmentation, and teachingIEEE Transactions on Visualization and Computer Graphics, 1996
- Adaptive segmentation of MRI dataIEEE Transactions on Medical Imaging, 1996
- Fast k-NN classification for multichannel image dataPattern Recognition Letters, 1996
- Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesionsJournal of Image Guided Surgery, 1995
- Nonlinear anisotropic filtering of MRI dataIEEE Transactions on Medical Imaging, 1992
- THE DYNAMIC PYRAMID—A MODEL FOR MOTION ANALYSIS WITH CONTROLLED CONTINUITYInternational Journal of Pattern Recognition and Artificial Intelligence, 1988
- An Algorithm for Finding Nearest NeighborsIEEE Transactions on Computers, 1975