Molecular biological characteristics based Hierarchical Mumford-Shah Vector-Model for the delineation of biological target volumes corresponding to head and neck tumors
To more accurately and precisely delineate a biologic target volume (BTV) for the positron emission tomography (PET)-guided radiotherapy treatment planning, we proposed a novel Hierarchical Mumford-Shah Vector Model (HMSMv), where the image-vector was composed of the molecular biological characteris...
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Published in | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2013; pp. 3335 - 3338 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
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United States
IEEE
01.01.2013
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Abstract | To more accurately and precisely delineate a biologic target volume (BTV) for the positron emission tomography (PET)-guided radiotherapy treatment planning, we proposed a novel Hierarchical Mumford-Shah Vector Model (HMSMv), where the image-vector was composed of the molecular biological characteristics such as contrast, busyness and the standard uptake value (SUV) of tumors. The BTV was delineated via the propagation of the level set flow of the proposed HMSMv. The propagation took place inside a ring-volume of interest (VOI) which was defined by an adaptive volume-growing algorithm based on the PET SUV, contrast and busyness of a tumor. Four patient studies were assessed and visually inspected by two radiation oncologists (Suyu Zhu and Zaijie Huang). Compared the resulting BTV with the gross target volume (GTV) of one patient study, the sensitivity, specificity and similarity were 92.28%, 87.29%, 79.28% respectively. Moreover, all of four BTVs were between the corresponding GTV and planning target volume (PTV). Most of the BTVs were between the GTV and the clinical target volume (CTV). The results demonstrated that the proposed method can delineate the BTVs of nasopharyngeal carcinomas more accurately and precisely than the manual delineation and also the threshold segmentation method with SUV of 2.5 as the threshold. The GTV, CTV, and PTV were manually delineated by the two radiation oncologists based on PET, CT and MRI images for the intensity modulated radiotherapy (IMRT) planning of the four patients. |
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AbstractList | To more accurately and precisely delineate a biologic target volume (BTV) for the positron emission tomography (PET)-guided radiotherapy treatment planning, we proposed a novel Hierarchical Mumford-Shah Vector Model (HMSMv), where the image-vector was composed of the molecular biological characteristics such as contrast, busyness and the standard uptake value (SUV) of tumors. The BTV was delineated via the propagation of the level set flow of the proposed HMSMv. The propagation took place inside a ring-volume of interest (VOI) which was defined by an adaptive volume-growing algorithm based on the PET SUV, contrast and busyness of a tumor. Four patient studies were assessed and visually inspected by two radiation oncologists (Suyu Zhu and Zaijie Huang). Compared the resulting BTV with the gross target volume (GTV) of one patient study, the sensitivity, specificity and similarity were 92.28%, 87.29%, 79.28% respectively. Moreover, all of four BTVs were between the corresponding GTV and planning target volume (PTV). Most of the BTVs were between the GTV and the clinical target volume (CTV). The results demonstrated that the proposed method can delineate the BTVs of nasopharyngeal carcinomas more accurately and precisely than the manual delineation and also the threshold segmentation method with SUV of 2.5 as the threshold. The GTV, CTV, and PTV were manually delineated by the two radiation oncologists based on PET, CT and MRI images for the intensity modulated radiotherapy (IMRT) planning of the four patients. |
Author | Min Liu Jinguang Liu Weili Yang Yi Mo Wenlin Huang Ke Liu Qiu Huang Haiyan Wu Bingqiang Hu Guocai Liu Suyu Zhu Jiutang Zhang Yuan Yuan Bin Liu Zaijie Huang Biao Zeng Xiang Peng Jumei Zhou |
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SubjectTerms | Algorithms Biology Computed tomography Educational institutions Head and Neck Neoplasms - diagnosis Head and Neck Neoplasms - pathology Humans Image segmentation Planning Positron emission tomography Radiotherapy, Intensity-Modulated Tumor Burden Tumors |
Title | Molecular biological characteristics based Hierarchical Mumford-Shah Vector-Model for the delineation of biological target volumes corresponding to head and neck tumors |
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