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Left ventricle segmentation in dynamic cardiac CT using random walks method.

Yang-Hsien Lin1, Kang-Ping Lin2, Shih-Min Huang3

  • 1Department of Biomedical Imaging and Radiological Science, China Medical University, Taiwan Department of Diagnostic Radiology, Peng Hu Hospital, Ministry of Health and Welfare, Taiwan.

Journal of X-Ray Science and Technology
|January 9, 2015
PubMed
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This summary is machine-generated.

The random walks (RW) method shows improved left ventricle (LV) segmentation in cardiac CT (CCT) compared to conventional image-based methods. This technique offers clinical feasibility for accurate LV volume segmentation.

Area of Science:

  • Medical Imaging
  • Cardiovascular Imaging
  • Image Segmentation

Background:

  • Left ventricle (LV) segmentation in cardiac CT (CCT) is challenging due to intensity variations from contrast agent in papillary muscle and trabeculae carneae.
  • Accurate LV segmentation is crucial for assessing cardiac function and volume.

Purpose of the Study:

  • To demonstrate the efficacy of the random walks (RW) method for LV segmentation in CCT across different cardiac phases.
  • To compare the performance of RW segmentation against conventional image-based (IB) methods and expert physician delineations.

Main Methods:

  • Utilized 63 CCT datasets from 7 patients, encompassing 9 cardiac phases.
  • Employed the random walks (RW) algorithm, which relies on label probability, for LV segmentation.
Keywords:
Left ventriclecardiac computed tomographyrandom walks

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  • Compared RW-derived LV delineations with those from an experienced physician (MD) and a conventional image-based (IB) method.

    • Main Results:

    • RW and physician (MD) segmentations closely delineated the LV.
    • The conventional image-based (IB) method exhibited discrepancies, particularly in segmenting papillary muscle and trabeculae carneae.
    • RW demonstrated improved accuracy in LV segmentation compared to the IB method.

    Conclusions:

    • The random walks (RW) method potentially enhances LV segmentation accuracy in CCT compared to conventional image-based techniques.
    • The study confirms the clinical feasibility of utilizing the RW algorithm for LV volume segmentation in CCT.