Point-guided modeling and segmentation of myocardium for low dose cardiac CT images.
Cardiac CT is emerging as a preferable modality to detect myocardial stress/rest perfusion; however the insufficient contrast of myocardium on CT image makes its segmentation difficult. In this paper, we present a point-guided modeling and deformable model-based segmentation method. This method first builds a triangular surface model of myocardium through Bézier contour fitting based on a few points selected by clinicians. Then, a deformable model-based segmentation method is developed to refine the segmentation result. The experiments on 8 cases show the accuracy of the segmentation in terms of true positive volume fraction, false positive volume fractions, and average surface distance can reach 91.0%, 0.3%, and 0.6mm, respectively. The comparison between the proposed method and a graph cut-based method is performed. The results demonstrate that this method is effective in improving the accuracy further.
Radiology and Imaging Science, National Institutes of Health, MD, USA. yixun.liu@nih.gov
Yixun
Y
Liu
Marcelo Souto
MS
Nacif
Songtao
S
Liu
Christopher T
CT
Sibley
David A
DA
Bluemke
Ronald M
RM
Summers
Jianhua
J
Yao
D006321:Heart / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D006801:Humans; D008953:Models, Anatomic; D014057:Tomography, X-Ray Computed