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Zhou R, Liao Z, Pan T, Milgrom SA, Pinnix CC, Shi A, Tang L, Yang J, Liu Y, Gomez D, Nguyen QN, Dabaja BS, Court L, Yang J. Cardiac atlas development and validation for automatic segmentation of cardiac substructures. Radiother Oncol 2016; 122:66-71. [PMID: 27939201 DOI: 10.1016/j.radonc.2016.11.016] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 11/16/2016] [Accepted: 11/21/2016] [Indexed: 12/25/2022]
Abstract
PURPOSE To develop and validate a set of atlases for auto-contouring cardiac substructures. METHODS Eight radiation oncologists manually and independently delineated 15 cardiac substructures from noncontrast CT images of 6 patients by referring to their respective fused contrast CT images. Individual contours were fused together for each structure, edited by 2 physicians, and became atlases to delineate other 6 patients. The auto-delineated contours of the 6 additional patients became templates for manual contouring. These 12 patients with well-defined contours composed the final atlases for multi-atlas segmentation. RESULTS The average time for manually contouring the 15 cardiac substructures was about 40min. Inter-observer variability was small for the heart, the chambers, and the aorta compared with that for other structures that were not clearly distinguishable in CT images. The mean dice similarity coefficient and mean surface distance of auto-segmented contours were within one standard deviation of expert contouring variability. Good agreement between auto-segmented and manual contours was observed for the heart, the chambers, and the great vessels. Independent validation on other 19 patients showed reasonable agreement for the heart chambers. CONCLUSIONS A set of cardiac atlases was created for auto-contouring from noncontrast CT images. The accuracy of auto-contouring for the heart, chambers, and great vessels was validated for potential clinical use.
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Affiliation(s)
- Rongrong Zhou
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA; Department of Radiation Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongxing Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Tinsu Pan
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Sarah A Milgrom
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Chelsea C Pinnix
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Anhui Shi
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Linglong Tang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Ju Yang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Ying Liu
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Daniel Gomez
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Quynh-Nhu Nguyen
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Bouthaina S Dabaja
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Laurence Court
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Jinzhong Yang
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.
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