Accurate tumor localization and tracking in radiation therapy using wireless body sensor networks.
Radiation therapy is an effective method to combat cancerous tumors by killing the malignant cells or controlling their growth. Knowing the exact position of the tumor is a very critical prerequisite in radiation therapy. Since the position of the tumor changes during the process of radiation therapy due to the patient׳s movements and respiration, a real-time tumor tracking method is highly desirable in order to deliver a sufficient dose of radiation to the tumor region without damaging the surrounding healthy tissues. In this paper, we develop a novel tumor positioning method based on spatial sparsity. We estimate the position by processing the received signals from only one implantable RF transmitter. The proposed method uses less number of sensors compared to common magnetic transponder based approaches. The performance of the proposed method is evaluated in two different cases: (1) when the tissue configuration is perfectly determined (acquired beforehand by MRI or CT) and (2) when there are some uncertainties about the tissue boundaries. The results demonstrate the high accuracy and performance of the proposed method, even when the tissue boundaries are imperfectly known.
Wireless Health Institute, Department of Computer Science, University of California Los Angeles (UCLA), Los Angeles, CA 90024, USA.
Mohammad
M
Pourhomayoun
Department of Electrical and Computer Engineering, Binghamton University, State University of New York, 4400 Vestal Pkwy East, Binghamton, NY 13902-6000, USA; Department of Bioengineering, Binghamton University, State University of New York, Binghamton, NY 13902-6000, USA. Electronic address: zjin@binghamton.edu.
Zhanpeng
Z
Jin
Department of Electrical and Computer Engineering, Binghamton University, State University of New York, 4400 Vestal Pkwy East, Binghamton, NY 13902-6000, USA.
Mark
M
Fowler
D000465:Algorithms; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D008280:Magnetics; D008962:Models, Theoretical; D009369:Neoplasms / Q000473:pathology* / Q000532:radiotherapy*; D016011:Normal Distribution; D011846:Radio Waves; D011874:Radiometry / Q000295:instrumentation*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014057:Tomography, X-Ray Computed; D014159:Transducers; D059015:Wireless Technology
Medical implant; Radiation therapy; Received signal strength (RSS); Sparsity; Time of arrival (TOA); Tumor localization and tracking