Content based retrieval of lesioned brain images

Stephen Batty; Ann Blandford; John Clark; Tim Fryer; Xiaohong Gao

doi:10.1117/12.466997

16 May 2002 Content based retrieval of lesioned brain images

Stephen Batty, Ann Blandford, John Clark, Tim Fryer, Xiaohong Gao

Proceedings Volume 4685, Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation; (2002) https://doi.org/10.1117/12.466997
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

HI-PACS enable more efficient data-management leading to increased operating efficiency and therefore better patient care, a content based pet image retrieval system would contribute to the development of a HI-PACS. A database of PET neuro-images has been created with a facility for retrieving via visual content. The adaptation of algorithms developed for alternate imaging modalities (eg-MRI) formed the basis of feature detection and measurement algorithms. The application of these algorithms to greyscale PET images results in data that is employed as database indices and similarity metrics. The feature detection and measurement algorithms can be split into two different methods. The first uses the extracted ideal mid sagittal symmetry line to detect differences between the two hemisphere of the brain, while the second utilizes Gabor filters to measure the texture of the whole brain.

Citation Download Citation

Stephen Batty, Ann Blandford, John Clark, Tim Fryer, and Xiaohong Gao "Content based retrieval of lesioned brain images", Proc. SPIE 4685, Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation, (16 May 2002); https://doi.org/10.1117/12.466997

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