Joint Segmentation of MR and CT scans for Gynecologic Cancer Brachytherapy
Joint Segmentation of MR and CT scans for Gynecologic Cancer Brachytherapy
批准号:
8320052
负责人:
Tina Kapur
金额:
$8.93万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-15 至 2014-05-31
关键词:
AlgorithmsAnatomic structuresAnesthesia proceduresAppearanceAreaBladderBrachytherapyBrainCervix UteriCharacteristicsCommunitiesComputer softwareDatabasesDoseFemale Genital NeoplasmsFilmFundingFutureGoalsGray unit of radiation doseGynecologicGynecologic BrachytherapyHospitalsHourImageImage AnalysisImageryJointsKneeKnowledgeLabelLicensingMagnetic Resonance ImagingMalignant Female Reproductive System NeoplasmMalignant NeoplasmsMalignant neoplasm of cervix uteriMethodsModalityNoiseNormal tissue morphologyOperating RoomsOrganPatientsPelvisPositioning AttributeProbabilityProceduresProcessProspective StudiesRadiationRadiation OncologistRadiation OncologyRadiation therapyRadioisotopesRectumRelative (related person)ResearchResearch Project GrantsRiskScanningSigmoid colonSignal TransductionSmall IntestinesStructureTechniquesTestingTherapeutic StudiesThree-Dimensional ImageTissuesToxic effectTranslatingVaginaValidationVariantWorkX-Ray Computed Tomographydesignexpectationhuman femaleimage registrationimaging Segmentationimaging modalityimprovedinfancykillingsneoplastic cellopen sourcespatial relationshiptreatment planningtumor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The placement of radioactive isotopes directly into a cancer of the uterine cervix or vagina in order to eradicate the cancer, requires insertion of a hollow applicator into the tumor. Though previously plain x-ray film depicted the position of the applicator, and was used to calculate the dose to deliver to an area around the applicator, 3D CT revolutionized tumor visualization in the 1990s. However, MRI more clearly defines gynecologic tumors, though the application of MRI to gynecologic brachytherapy is in its infancy. Research in the last five years has shown that using CT alone overestimates the extent of normal tissue that surrounds the cancer compared to MR. In comparison MR allows the radiation oncologist to draw tighter boundaries around the target volume that should receive the highest radiation dose, while sparing larger amounts of surrounding normal tissue. Current practice at our hospital after applicator insertion in the operating room is to obtain a 3D image to guide radiation treatment planning. Patients with large tumors undergo both a CT and an MRI. Commercial software aligns the MRI and CT to each other, and is used to outline target cancer and surrounding organs at risk. A treatment plan is generated and radiation is delivered to the patient using this plan. Current alignment and contouring methods require significant expert input from the radiation oncologist and physicist while the patient waits for treatment under anesthesia. This project will improve the efficiency of this workflow using advanced image analysis methods as follows. 1) We will develop an EM-ESP segmenter to simultaneously segment registered MR and CT scans for gynecologic brachytherapy planning. This segmenter will construct and use joint prior probability distributions on image intensities and the geometry of key anatomic structures relative to the brachytherapy applicator, which is clearly visible in the images. 2) We will apply the EM-ESP segmenter retrospectively on a database of 25 patients who were treated during 2004-2006 using MR guided brachytherapy by Dr. Akila Viswanathan, Chief of Gynecologic Radiation Oncology at our hospital. Contours were drawn manually on these scans, and we will test our method against these. The result of this project will be an algorithm that can automatically delineate the cervix, the bladder, the rectum, the sigmoid colon, and the small bowel in MR and CT images for gynecologic brachytherapy. To the best of our knowledge, the proposed algorithm will be the first to provide this functionality. ( ( !
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会议论文
Training & Dissemination
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批准号:10326350
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项目类别:
-
资助金额:$8.93万
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财政年份:2021
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负责人:Tina Kapur
-
依托单位:
Training & Dissemination
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批准号:10090284
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项目类别:
-
资助金额:$10.54万
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财政年份:2021
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负责人:Tina Kapur
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依托单位:
Training & Dissemination
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批准号:10540789
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项目类别:
-
资助金额:$11.71万
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财政年份:2021
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负责人:Tina Kapur
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依托单位:
Joint Segmentation of MR and CT scans for Gynecologic Cancer Brachytherapy
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批准号:8177424
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项目类别:
-
资助金额:$8.92万
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财政年份:2011
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负责人:Tina Kapur
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依托单位:
NCIGT Workshop on Future Directions in Image-Guided Therapy
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批准号:8600891
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项目类别:
-
资助金额:$0.8万
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财政年份:2010
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负责人:Tina Kapur
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依托单位:
海外基金