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