Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease

Ingmar Voigt; Dime Vitanovski; Razvan I. Ionasec; Alexey Tsymal; Bogdan Georgescu; Shaohua K. Zhou; Martin Huber; Nassir Navab; Joachim Hornegger; Dorin Comaniciu

doi:10.1117/12.843972

12 March 2010 Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease

Ingmar Voigt, Dime Vitanovski, Razvan I. Ionasec, Alexey Tsymal, Bogdan Georgescu, Shaohua K. Zhou, Martin Huber, Nassir Navab, Joachim Hornegger, Dorin Comaniciu

Author Affiliations +

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 762314 (2010) https://doi.org/10.1117/12.843972
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Disorders of the heart valves constitute a considerable health problem and often require surgical intervention. Recently various approaches were published seeking to overcome the shortcomings of current clinical practice,that still relies on manually performed measurements for performance assessment. Clinical decisions are still based on generic information from clinical guidelines and publications and personal experience of clinicians. We present a framework for retrieval and decision support using learning based discriminative distance functions and visualization of patient similarity with relative neighborhood graphsbased on shape and derived features. We considered two learning based techniques, namely learning from equivalence constraints and the intrinsic Random Forest distance. The generic approach enables for learning arbitrary user-defined concepts of similarity depending on the application. This is demonstrated with the proposed applications, including automated diagnosis and interventional suitability classification, where classification rates of up to 88.9% and 85.9% could be observed on a set of valve models from 288 and 102 patients respectively.

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Ingmar Voigt, Dime Vitanovski, Razvan I. Ionasec, Alexey Tsymal, Bogdan Georgescu, Shaohua K. Zhou, Martin Huber, Nassir Navab, Joachim Hornegger, and Dorin Comaniciu "Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762314 (12 March 2010); https://doi.org/10.1117/12.843972

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