Automatic identification of medical structures

Marina de S Rebelo; Sergio S. Furuie; Marco Antonio Gutierrez; Lincoln Moura

doi:10.1117/12.595467

15 April 2005 Automatic identification of medical structures

Marina de S Rebelo, Sergio S. Furuie, Marco Antonio Gutierrez, Lincoln Moura

Proceedings Volume 5748, Medical Imaging 2005: PACS and Imaging Informatics; (2005) https://doi.org/10.1117/12.595467
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

A software tool for automatic identification in medical images should allow the identification of anatomical structures and the presence of abnormalities in these structures, such as malformations and tumors. The automation of these tasks would help to decrease the time required for decision making in routine diagnosis and surgical planning. We have addressed the problem of identification of medical structures using a multiscale approach, the scale space, combined with a matching procedure that uses a priori information. The method can be divided in three steps: 1) construction of the linear scale space; 2) application of a feature detector that leads to a multiscale representation based on them; and 3) matching the elements present in the structure built in step 2 with a known pattern that describes the structure under study. We have built an application that uses geometrical information on the desired feature and its relations with other features present in the scene. Results have shown the method’s ability to identify medical structures at several levels of resolution and noise. The method allows the generation of specific patterns to be matched by the target-structure with different diseases from a medical database. It can also be used as part of a content based image retrieval system.

Citation Download Citation

Marina de S Rebelo, Sergio S. Furuie, Marco Antonio Gutierrez, and Lincoln Moura "Automatic identification of medical structures", Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); https://doi.org/10.1117/12.595467

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