A local multiscale variational approach for left ventricle analysis in cardiac images

Leiner Barba-J.; Boris Escalante-Ramírez; Enrique Vallejo Venegas

doi:10.1117/12.2511591

21 December 2018 A local multiscale variational approach for left ventricle analysis in cardiac images

Leiner Barba-J., Boris Escalante-Ramírez, Enrique Vallejo Venegas

Proceedings Volume 10975, 14th International Symposium on Medical Information Processing and Analysis; 1097518 (2018) https://doi.org/10.1117/12.2511591
Event: 14th International Symposium on Medical Information Processing and Analysis, 2018, Mazatlán, Mexico

Abstract

Analysis of cardiac images has become fundamental for heart evaluation. It is well known that cardiac affections constitute one of the main causes of death in developed and developing countries. An early detection of cardiac diseases might substantially contribute to find the correct treatment. In this work, we propose a variational framework for left ventricle (LV) segmentation of cardiac MR and CT volumes. The method is based on a multiscale scheme provided by the Hermite transform (HT) which is used for local image feature coding. The variational approach includes several functional terms embedded into a level set - based framework in which geometrical and image features computed from coefficients of the HT are processed. Methods based on level sets are commonly configured using a set of parameters which are frequently selected experimentally. In this paper, we present an automatic mechanism for parameters selection using the contrast information obtained from the input data. The method was evaluated on several cardiac CT and MR volumes. Distance metrics were used for evaluation by comparing with manual segmentations.

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Leiner Barba-J., Boris Escalante-Ramírez, and Enrique Vallejo Venegas "A local multiscale variational approach for left ventricle analysis in cardiac images", Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 1097518 (21 December 2018); https://doi.org/10.1117/12.2511591

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KEYWORDS

Image segmentation

Heart

Computed tomography

Magnetic resonance imaging

Image analysis

Image processing

Image processing algorithms and systems

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