Counter-Driven Regression for Label Inference in Atlas-Based Segmentation
We present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We introduce a contour-driven prior distribution over label maps to incorporate i...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Springer-Verlag
2014
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| Online Access: | http://hdl.handle.net/1721.1/86193 https://orcid.org/0000-0002-3652-1874 https://orcid.org/0000-0003-2516-731X |
| _version_ | 1826199986636849152 |
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| author | Wachinger, Christian Sharp, Gregory C. Golland, Polina |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Wachinger, Christian Sharp, Gregory C. Golland, Polina |
| author_sort | Wachinger, Christian |
| collection | MIT |
| description | We present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We introduce a contour-driven prior distribution over label maps to incorporate image features of the input scan into the label inference problem. The mean function of the Gaussian process posterior distribution yields the MAP estimate of the label map and is used in the subsequent voting. We demonstrate improved segmentation accuracy when our approach is combined with two different patch-based segmentation techniques. We focus on the segmentation of parotid glands in CT scans of patients with head and neck cancer, which is important for radiation therapy planning. |
| first_indexed | 2024-09-23T11:28:58Z |
| format | Article |
| id | mit-1721.1/86193 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:28:58Z |
| publishDate | 2014 |
| publisher | Springer-Verlag |
| record_format | dspace |
| spelling | mit-1721.1/861932023-05-17T18:54:04Z Counter-Driven Regression for Label Inference in Atlas-Based Segmentation Wachinger, Christian Sharp, Gregory C. Golland, Polina Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Wachinger, Christian Golland, Polina We present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We introduce a contour-driven prior distribution over label maps to incorporate image features of the input scan into the label inference problem. The mean function of the Gaussian process posterior distribution yields the MAP estimate of the label map and is used in the subsequent voting. We demonstrate improved segmentation accuracy when our approach is combined with two different patch-based segmentation techniques. We focus on the segmentation of parotid glands in CT scans of patients with head and neck cancer, which is important for radiation therapy planning. National Alliance for Medical Image Computing (U.S.) (NIH NIBIB NAMIC U54-EB005149) Neuroimaging Analysis Center (U.S.) (NIH NCRR NAC P41-RR13218) Neuroimaging Analysis Center (U.S.) (NIH NIBIB NAC P41-EB-015902) 2014-04-17T13:57:28Z 2014-04-17T13:57:28Z 2013-09 Article http://purl.org/eprint/type/ConferencePaper 978-3-642-40759-8 978-3-642-40760-4 0302-9743 http://hdl.handle.net/1721.1/86193 Wachinger, Christian, Gregory C. Sharp, and Polina Golland. “Contour-Driven Regression for Label Inference in Atlas-Based Segmentation.” Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. Ed. Kensaku Mori et al. Vol. 8151. Springer Berlin Heidelberg, 2013. 211–218. Lecture Notes in Computer Science. https://orcid.org/0000-0002-3652-1874 https://orcid.org/0000-0003-2516-731X en_US http://dx.doi.org/10.1007/978-3-642-40760-4_27 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 application/pdf Springer-Verlag Wachinger |
| spellingShingle | Wachinger, Christian Sharp, Gregory C. Golland, Polina Counter-Driven Regression for Label Inference in Atlas-Based Segmentation |
| title | Counter-Driven Regression for Label Inference in Atlas-Based Segmentation |
| title_full | Counter-Driven Regression for Label Inference in Atlas-Based Segmentation |
| title_fullStr | Counter-Driven Regression for Label Inference in Atlas-Based Segmentation |
| title_full_unstemmed | Counter-Driven Regression for Label Inference in Atlas-Based Segmentation |
| title_short | Counter-Driven Regression for Label Inference in Atlas-Based Segmentation |
| title_sort | counter driven regression for label inference in atlas based segmentation |
| url | http://hdl.handle.net/1721.1/86193 https://orcid.org/0000-0002-3652-1874 https://orcid.org/0000-0003-2516-731X |
| work_keys_str_mv | AT wachingerchristian counterdrivenregressionforlabelinferenceinatlasbasedsegmentation AT sharpgregoryc counterdrivenregressionforlabelinferenceinatlasbasedsegmentation AT gollandpolina counterdrivenregressionforlabelinferenceinatlasbasedsegmentation |