TY - GEN
T1 - A real-time homography-based tracking method for tracking deformable tumor motion in fluoroscopy
AU - Zhang, Xiaoyong
AU - Homma, Noriyasu
AU - Ichiji, Kei
AU - Sugita, Norihiro
AU - Takai, Yoshihiro
AU - Yoshizawa, Makoto
N1 - Funding Information:
This work was partially supported by JSPS KAKENHI Grants No. 15K20852 and No. 25293258, and Varian Medical Systems
Publisher Copyright:
© 2016 The Society of Instrument and Control Engineers - SICE.
PY - 2016/11/18
Y1 - 2016/11/18
N2 - In radiation therapy, respiration-induced tumor motion significantly limits the efficiency of the radiation delivery, and brings potential risk to healthy organs and tissues. In order to deliver a sufficient high-dose radiation in adaptive with the tumor motion, a kilo-voltage (kV) X-ray fluoroscopy imaging system has been used to monitor the tumor motion in real-time during the treatment. In this paper, we present a fast and robust tracking algorithm to track deformable lung tumor motion in the kV fluoroscopic image sequence. Given a kV fluoroscopy, the tumor motion is represented by a nonlinear homographic transformation of a pre-defined tumor template. The homographic transformation is then estimated by minimizing a sum-of-squared-difference (SSD) between the template image and the observed image. To improve the computational efficiency, an efficient second-order minimization method is employed to solve the problem of SSD minimization. The experimental results conducted on clinical kV fluoroscopies demonstrated that the proposed method is capable of tracking the tumor motion in real-time and its performance is superior to conventional tracking methods in terms of tracking accuracy and computational cost.
AB - In radiation therapy, respiration-induced tumor motion significantly limits the efficiency of the radiation delivery, and brings potential risk to healthy organs and tissues. In order to deliver a sufficient high-dose radiation in adaptive with the tumor motion, a kilo-voltage (kV) X-ray fluoroscopy imaging system has been used to monitor the tumor motion in real-time during the treatment. In this paper, we present a fast and robust tracking algorithm to track deformable lung tumor motion in the kV fluoroscopic image sequence. Given a kV fluoroscopy, the tumor motion is represented by a nonlinear homographic transformation of a pre-defined tumor template. The homographic transformation is then estimated by minimizing a sum-of-squared-difference (SSD) between the template image and the observed image. To improve the computational efficiency, an efficient second-order minimization method is employed to solve the problem of SSD minimization. The experimental results conducted on clinical kV fluoroscopies demonstrated that the proposed method is capable of tracking the tumor motion in real-time and its performance is superior to conventional tracking methods in terms of tracking accuracy and computational cost.
KW - Image-guided radiation therapy (IGRT)
KW - efficient second-order minimization (ESM)
KW - homographic transformation
KW - non-linear least squares
KW - tumor tracking
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U2 - 10.1109/SICE.2016.7749183
DO - 10.1109/SICE.2016.7749183
M3 - Conference contribution
AN - SCOPUS:85008260138
T3 - 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
SP - 1673
EP - 1677
BT - 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
Y2 - 20 September 2016 through 23 September 2016
ER -