Knowledge-based segmentation of the heart from respiratory-gated CT datasets acquired without cardiac contrast-enhancement

Joyoni Dey; Tin-Su Pan; David J. Choi M.D.; Mark Smyczynski M.D.; Hendrik Pretorius; Michael A. King

doi:10.1117/12.655742

10 March 2006 Knowledge-based segmentation of the heart from respiratory-gated CT datasets acquired without cardiac contrast-enhancement

Joyoni Dey, Tin-Su Pan, David J. Choi M.D., Mark Smyczynski M.D., Hendrik Pretorius, Michael A. King

Author Affiliations +

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614409 (2006) https://doi.org/10.1117/12.655742
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Respiratory motion degrades image quality in PET and SPECT imaging. Patient specific information on the motion of structures such as the heart if obtained from CT slices from a dual-modality imaging system can be employed to compensate for motion during emission reconstruction. The CT datasets may not be contrast enhanced. Since each patient may have 100-120 coronal slices covering the heart, an automated but accurate segmentation of the heart is important. We developed and implemented an algorithm to segment the heart in non-contrast CT datasets. The algorithm has two steps. In the first step we place a truncated-ellipse curve on a mid-slice of the heart, optimize its pose, and then track the contour through the other slices of the same dataset. During the second step the contour points are drawn to the local edge points by minimizing an distance measure. The segmentation algorithm was tested on 10 patients and the boundaries were determined to be accurate to within 2 mm of the visually ascertained locations of the borders of the heart. The segmentation was automatic except for initial placement of the first truncated-ellipse and for having to re-initialize the contour for 3 patients for less than 3% (1-3 slices) of the coronal slices of the heart. These end-slices constituted less than 0.3% of the heart volume.

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Joyoni Dey, Tin-Su Pan, David J. Choi M.D., Mark Smyczynski M.D., Hendrik Pretorius, and Michael A. King "Knowledge-based segmentation of the heart from respiratory-gated CT datasets acquired without cardiac contrast-enhancement", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614409 (10 March 2006); https://doi.org/10.1117/12.655742

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