TU-B-204B-05: Quantitative Evaluation and Optimization of an Algorithm for Non-Rigidly Registering Serial CT Images to the Planning CT during Prostate-Cancer Radiation Therapy

2010 ◽  
Vol 37 (6Part13) ◽  
pp. 3377-3377
Author(s):  
Y Wang ◽  
W Sleeman ◽  
C Zhang ◽  
G Christensen ◽  
E Weiss ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radiation Therapy ◽  
Quantitative Evaluation ◽  
Ct Images ◽  
Serial Ct ◽  
Planning Ct

Optimizing planning CT using past CT images for prostate cancer volumetric modulated arc therapy

2020 ◽  
Vol 45 (3) ◽  
pp. 213-218 ◽  
Author(s):  
Yoshinori Tanabe ◽  
Takayuki Ishida ◽  
Hidetoshi Eto ◽  
Tatsuhiro Sera ◽  
Yuki Emoto
Keyword(s):  
Prostate Cancer ◽  
Volumetric Modulated Arc Therapy ◽  
Ct Images ◽  
Arc Therapy ◽  
Planning Ct

TU-EE-A3-02: Registration of Ultrasound Tissue-Typing Images with CT Images for Image-Guided Prostate Cancer Radiation Therapy

2007 ◽  
Vol 34 (6Part18) ◽  
pp. 2564-2564
Author(s):  
J Zhou ◽  
P Zhang ◽  
P Schiff ◽  
G Kutcher ◽  
T Liu
Keyword(s):  
Prostate Cancer ◽  
Radiation Therapy ◽  
Ct Images ◽  
Tissue Typing ◽  
Image Guided

Automated Liver Segmentation for Cone Beam CT Dataset by Probabilistic Atlas Construction

2012 ◽  
Vol 195-196 ◽  
pp. 583-588
Author(s):  
Deng Wang Li ◽  
Hong Jun Wang ◽  
Da Chen ◽  
Yong Yin
Keyword(s):  
Radiation Therapy ◽  
Cone Beam Ct ◽  
Ct Images ◽  
Cone Beam ◽  
Treatment Delivery ◽  
Low Contrast ◽  
Image Guided Radiation Therapy ◽  
Probabilistic Atlas ◽  
Atlas Construction ◽  
Planning Ct

Cone beam CT based image guided radiation therapy can be used to measure and correct positional errors for target and critical structures immediately prior to or during the treatment delivery. Data correlation between Planning CT images and daily CBCT images is the key issue for adaptive radiation therapy, including image registration and segmentation processing. In this paper, aiming for getting accurate liver contour structures automatically in daily CBCT images which is very low-contrast comparing the planning CT, probabilistic atlas is constructed from 50 high contrast planning CT images with manual delineation by oncologist. The incoming CBCT images are registered with the atlas using the deformable registration algorithm, and the liver contour structures are generated automatically by using the deformation map. The experiment results demonstrate the efficiency of our algorithm.

395: Nomogram Predicting 10 year Life Expectancy after Radical Prostatectomy or Radiation Therapy for Prostate Cancer

2007 ◽  
Vol 177 (4S) ◽  
pp. 131-132 ◽  
Author(s):  
Jochen Wafz ◽  
Andrea Gallina ◽  
Aldo M. Bocciardi ◽  
Sascha Ahyai ◽  
Paul Perrotta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radiation Therapy ◽  
Radical Prostatectomy ◽  
Life Expectancy
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