Left ventricle myocardial border detection in three-dimensional intracardiac ultrasound images

Weidong Liang; Prapti Kanani; John Allan; Richard Kerber; Charles R. McKay M.D.; Milan Sonka

doi:10.1117/12.274057

9 May 1997 Left ventricle myocardial border detection in three-dimensional intracardiac ultrasound images

Weidong Liang, Prapti Kanani, John Allan, Richard Kerber, Charles R. McKay M.D., Milan Sonka

Proceedings Volume 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images; (1997) https://doi.org/10.1117/12.274057
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

We have previously reported an automated approach to detection of endocardial and epicardial borders in individual intracardiac ultrasound (ICUS) images. Here, we report the method's extension to 3D ICUS image data sets. Our method is based on fully automated detection of epicardial and endocardial borders inside a single interactively identified region of interest. BOrder detection is based on an optimal graph-searching approach that utilizes a priori knowledge about left ventricular (LV) anatomy and ultrasound imaging physics. Eight cadaveric pig hearts were used for validation. Two ICUS sequences were obtained from each heart, with a 10 MHz CVIS 10F catheter positioned in the LV across (1) the aortic valve and (2) the mitral valve. Performance of the 3D automated border detection method was assessed by comparing the observer- defined and computer-determined quantitative indices of LV volume and by border positioning errors. The 3D reconstruction of the lV was performed from the sequences of the detected epicardial and endocardial borders using shape- based interpolation and surface rendering.

Citation Download Citation

Weidong Liang, Prapti Kanani, John Allan, Richard Kerber, Charles R. McKay M.D., and Milan Sonka "Left ventricle myocardial border detection in three-dimensional intracardiac ultrasound images", Proc. SPIE 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images, (9 May 1997); https://doi.org/10.1117/12.274057

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