NDLI: Towards respiration management in radiation treatment of lung tumors: Transferring regions of interest from planning CT to kilovoltage X-ray images

Content Provider	IEEE Xplore Digital Library
Author	Ataer-Cansizoglu, E. Bas, E. Yousuf, M.A. Sheng You D'Souza, W.D. Erdogmus, D.
Copyright Year	2010
Description	Author affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, 21201, USA (Yousuf, M.A.; D'Souza, W.D.) \|\| Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA (Ataer-Cansizoglu, E.; Bas, E.; Sheng You; Erdogmus, D.)
Abstract	Tracking of lung tumors is imperative for improved radiotherapy treatment. However, the motion of the thoracic organs makes it a complicated task. 4D CT images acquired prior to treatment provide valuable information regarding the motion of organs and tumor, since it is manually annotated. In order to track tumors using treatment-day X-ray images (kV images), we need to find the correspondence with CT images so that projection of tumor region of interest will provide a good estimate about the position of the tumor on the X-ray image. In this study, we propose a method to estimate the alignment and respiration phase corresponding to X-ray images using 4D CT data. Our approach generates Digitally Reconstructed Radiographs (DRRs) using bilateral filter smoothing and computes rigid registration with kV images since the position and orientation of patient might differ between CT and treatment-day image acquisition processes. Instead of using landmark points, our registration method makes use of Kernel Density Estimation over the edges that are not affected much by respiration. To estimate the phase of X-ray, we apply template matching techniques between the lung regions of X-ray and registered DRRs. Our approach gives accurate results for rigid registration and provides a starting point to track tumors using the X-ray images during the treatment.
Starting Page	3101
Ending Page	3104
File Size	1381889
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	X-ray imaging Computed tomography Tumors Correlation Lungs Image edge detection Kernel
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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