Using neural networks to predict breathing motion

Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008

Volumn , Issue , 2008, Pages 528-532

  Murphy, Martin J ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREATHING MOTIONS; FREE BREATHINGS; RADIATION DELIVERIES; RADIOTHERAPY TREATMENTS;

ROBOT LEARNING;

NEURAL NETWORKS;

EID: 60649095833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2008.136     Document Type: Conference Paper

References (9)

1. Keall PJ, Mageras GS, Baiter JM, et al, The management of respiratory motion in radiation oncology report of AAPM Task Group 76, Med Phys 33: 3874-3900, 2006.
2. Shirato H. Shimizu S. Kunieda T. et al: Physical aspects of a real-time tumor-tracking system for gated radiotherapy. Int J Rad One Biol Phys 48:1187-1195, 2000.
3. Schweikard A. Shiomi, Adler J. Respiration tracking in radiosurgery, Med Phys 31: 2738-2741, 2004.
4. Murphy MJ, Tracking moving organs in real time, Seminars in Radiation Oncology 14 (1): 91-100, 2004.
5. Ozhasoglu C and Murphy MJ, Issues in respiratory motion compensation during external-beam radiotherapy, Int J of Radiat Oncol Bioll Phys 52, 1389-1399, 2002.
6. Murphy MJ, Jalden J. Isaksson M. Adaptive filtering to predict lung tumor breathing motion during image-guided radiation therapy, Proc 16th Intern Congress on Computerassisted Radiology and Surgery, 539-544, 2002.
7. Sharp GC, Jiang SB, Shimizu S. Shirato H. Prediction of respiratory tumour motion for real-time image-guided radiotherapy, Phys Med Biol 49: 425-440, 2004.
8. Murphy MJ and Dieterich S. Comparative performance of linear and nonlinear neural networks to predict irregular breathing, Phys Med Biol 51, 5903-5914, 2006.
9. Isaakson M. Jalden J. and Murphy MJ, On using an adaptive neural network to predict lung tumor motion during respiration for radiotherapy applications, Med Phys 32 (12): 3801-3809, 2005.