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    Automatic segmentation of cardiac structures for breast cancer radiotherapy

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    Author
    Jung, Jae Won; Lee, Choonik; Mosher, Elizabeth G.; Mille, Matthew M.; Yeom, Yeon Soo; Jones, Elizabeth C.; Choi, Minsoo; Lee, Choonsik
    Abstract
    Background and purpose We developed an automatic method to segment cardiac substructures given a radiotherapy planning CT images to support epidemiological studies or clinical trials looking at cardiac disease endpoints after radiotherapy. Material and methods We used a most-similar atlas selection algorithm and 3D deformation combined with 30 detailed cardiac atlases. We cross-validated our method within the atlas library by evaluating geometric comparison metrics and by comparing cardiac doses for simulated breast radiotherapy between manual and automatic contours. We analyzed the impact of the number of cardiac atlas in the library and the use of manual guide points on the performance of our method. Results The Dice Similarity Coefficients from the cross-validation reached up to 97% (whole heart) and 80% (chambers). The Average Surface Distance for the coronary arteries was less than 10.3 mm on average, with the best agreement (7.3 mm) in the left anterior descending artery (LAD). The dose comparison for simulated breast radiotherapy showed differences less than 0.06 Gy for the whole heart and atria, and 0.3 Gy for the ventricles. For the coronary arteries, the dose differences were 2.3 Gy (LAD) and 0.3 Gy (other arteries). The sensitivity analysis showed no notable improvement beyond ten atlases and the manual guide points does not significantly improve performance. Conclusion We developed an automated method to contour cardiac substructures for radiotherapy CTs. When combined with accurate dose calculation techniques, our method should be useful for cardiac dose reconstruction of a large number of patients in epidemiological studies or clinical trials.
    URI
    http://hdl.handle.net/10342/7956
    Subject
    Cardiac structures; Automatic segmentation; Deformation; Breast radiotherapy
    Date
    2019-11-22
    Citation:
    APA:
    Jung, Jae Won, & Lee, Choonik, & Mosher, Elizabeth G., & Mille, Matthew M., & Yeom, Yeon Soo, & Jones, Elizabeth C., & Choi, Minsoo, & Lee, Choonsik. (November 2019). Automatic segmentation of cardiac structures for breast cancer radiotherapy. , (), - . Retrieved from http://hdl.handle.net/10342/7956

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Jung, Jae Won, and Lee, Choonik, and Mosher, Elizabeth G., and Mille, Matthew M., and Yeom, Yeon Soo, and Jones, Elizabeth C., and Choi, Minsoo, and Lee, Choonsik. "Automatic segmentation of cardiac structures for breast cancer radiotherapy". . . (), November 2019. September 30, 2023. http://hdl.handle.net/10342/7956.
    Chicago:
    Jung, Jae Won and Lee, Choonik and Mosher, Elizabeth G. and Mille, Matthew M. and Yeom, Yeon Soo and Jones, Elizabeth C. and Choi, Minsoo and Lee, Choonsik, "Automatic segmentation of cardiac structures for breast cancer radiotherapy," , no. (November 2019), http://hdl.handle.net/10342/7956 (accessed September 30, 2023).
    AMA:
    Jung, Jae Won, Lee, Choonik, Mosher, Elizabeth G., Mille, Matthew M., Yeom, Yeon Soo, Jones, Elizabeth C., Choi, Minsoo, Lee, Choonsik. Automatic segmentation of cardiac structures for breast cancer radiotherapy. . November 2019; (): . http://hdl.handle.net/10342/7956. Accessed September 30, 2023.
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