Real-time GPU-aided lung tumor tracking

Yin Yang, Zichun Zhong, Guodong Rong, Xiaohu Guo, Jing Wang, Timothy Solberg, Weihua Mao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A real time solution of tracking daily lung tumor motion is proposed in this paper in order to achieve an accurate dose delivery for radiation therapy as recently developed cone-beam computed tomography (CBCT) technique is not able to catch tumor motions due to the patient's respiration. We develop a novel GPU-based fast digitally reconstructed radiograph (DRR) generation algorithm which enables an instant DRR computation and rendering from patients' radiation therapy treatment planning CTs. In the meantime, classic image correlation algorithm is extended as the main method to locate tumors in X-ray 2D projections, the raw data of CBCT scans. With the GPU-aided implementation, this algorithm is capable of capturing movement of lung tumors as fast as the CBCT image acquisition in real time, which greatly facilitates the radioactive treatment.

Original languageEnglish (US)
Title of host publicationProceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
Pages495-500
Number of pages6
DOIs
Publication statusPublished - 2010
Event4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 - Singapore, Singapore
Duration: Nov 14 2010Nov 17 2010

Other

Other4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
CountrySingapore
CitySingapore
Period11/14/1011/17/10

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Keywords

  • DRR
  • GPU
  • Image correlation
  • Radiation
  • Therapy

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

Cite this

Yang, Y., Zhong, Z., Rong, G., Guo, X., Wang, J., Solberg, T., & Mao, W. (2010). Real-time GPU-aided lung tumor tracking. In Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 (pp. 495-500). [5673807] https://doi.org/10.1109/PSIVT.2010.89