Left-Ventricle Segmentation of SPECT Images of Rats

Abstract

Single-photon emission computed tomography (SPECT) imaging of the heart is helpful to quantify the left-ventricular ejection fraction and study myocardial perfusion scans. However, these evaluations require a 3-D segmentation of the left-ventricular wall on each phase of the cardiac cycle. This paper presents a fast and interactive graph cut method for 3-D segmentation of the left ventricle (LV) of rats in SPECT images. The method is carried out in three steps. First, 3-D sampling of the LV cavity is made in a spherical-cylindrical coordinate system. Then, a graph-cut-based energy minimization procedure provides delineation of the myocardium centerline surface. From there, it is possible to outline the epicardial and endocardial boundaries by considering the second statistical moment of the SPECT images. An important aspect of our method is to always produce anatomically coherent U-shape results. It also relies on only two intuitive parameters regulating the smoothness and the thickness of the segmentation result. Results show not only that our method is statistically as accurate as human experts, but it is one order of magnitude faster than a state-of-the-art method with a processing time of at most 2 s on a 4-D cardiac image after having determined the LV orientation.

DOI: 10.1109/TBME.2015.2422263

Cite this paper

@article{Jodoin2015LeftVentricleSO, title={Left-Ventricle Segmentation of SPECT Images of Rats}, author={Pierre-Marc Jodoin and Fredy Pinheiro and Alexandra Oudot and Alain Lalande}, journal={IEEE transactions on bio-medical engineering}, year={2015}, volume={62 9}, pages={2260-2268} }