Left-ventricular boundary detection from spatiotemporal volumetric CT images

Hsiao-Kun Tu; Art Matheny; Dmitry B. Goldgof

doi:10.1117/12.148681

29 July 1993 Left-ventricular boundary detection from spatiotemporal volumetric CT images

Hsiao-Kun Tu, Art Matheny, Dmitry B. Goldgof

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148681
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

This paper presents a new technique for LV boundary detection from 3-D volumetric cardiac images. The proposed method consists of boundary detection and boundary refinement stages. In the boundary detection stage, a spatio-temporal (4-D) gradient operator is used to capture the temporal gradients of dynamic LV boundaries and to smooth time uncorrelated noise. Spatio-temporal edge detection is performed outward from an approximate center of the left ventricle. In the boundary refinement stage, spherical harmonic model is fitted to the detected boundaries. Based on this model, false boundaries are removed; LV boundaries are recovered. A left ventricle is a bright, smooth region, varying in size over the heart cycle. This a priori knowledge is incorporated in detection and refinement of LV boundaries to reduce the effect of noise. The intensity of the inner (close to the center) neighbors of the LV boundary is brighter than the outer. The size of the left ventricle is used in boundary refinement to select proper boundaries to be fitted by the spherical harmonic mode. We demonstrate the advantages of 4-D edge detection over 3-D and the use of spherical harmonics to refine LV boundaries. Our experimental data is supplied by Dr. Eric Hoffman at University of Pennsylvania medical school and consists of 16 volumetric (128 by 128 by 118) CT images taken through a heart cycle.

Citation Download Citation

Hsiao-Kun Tu, Art Matheny, and Dmitry B. Goldgof "Left-ventricular boundary detection from spatiotemporal volumetric CT images", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148681

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