DocumentCode :
1839319
Title :
A Model-Aided Segmentation in Urethra Identification Based on an Atlas Human Autopsy Image for Intensity Modulated Radiation Therapy
Author :
Yan Song ; Muller, B. ; Burman, C. ; Mychalczak, B. ; Yulin Song
Author_Institution :
Univ. of Houston, Houston
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
3532
Lastpage :
3535
Abstract :
In order to protect urethra in radiation therapy of prostate cancer, the urethra must be identified and localized as an organ at risk (OAR) for the inverse treatment planning in intensity modulated radiation therapy (IMRT). Because the prostatic urethra and its surrounding prostate tissue have similar physical characteristics, such as linear attenuation coefficient and density, it is difficult to distinct the OAR from the target in CT images. To localize the urethra without using contrast agent or additional imaging modalities other than planning CT images, a different approach was developed using a standard atlas of human anatomy image. This paper reports an investigation, in which an adult urethra was modeled based on a human anatomic image. An elastic model was build to account for a uniform tissue deformation of the prostate. This model was then applied to patients to localize their urethras and preliminary results are presented.
Keywords :
biomechanics; cancer; computerised tomography; elastic deformation; image segmentation; intensity modulation; medical image processing; physiological models; radiation therapy; tumours; CT images; IMRT; atlas human autopsy image; human anatomy image; intensity modulated radiation therapy; inverse treatment planning; linear attenuation coefficient; model-aided segmentation; organ-at-risk localization; prostate cancer; uniform tissue deformation; urethra identification; urethra protection; Attenuation; Autopsy; Biomedical applications of radiation; Computed tomography; Humans; Image segmentation; Intensity modulation; Prostate cancer; Protection; Standards development; Computer Simulation; Humans; Male; Models, Anatomic; Models, Biological; Prostatic Neoplasms; Radiographic Image Interpretation, Computer-Assisted; Radiotherapy, Computer-Assisted; Radiotherapy, Conformal; Subtraction Technique; Tomography, X-Ray Computed; Urethra;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353093
Filename :
4353093
Link To Document :
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