Out-of-field photon and neutron dose equivalents from step-and-shoot intensity-modulated radiation therapy

2005 ◽  
Vol 62 (4) ◽  
pp. 1204-1216 ◽  
Author(s):  
Stephen F. Kry ◽  
Mohammad Salehpour ◽  
David S. Followill ◽  
Marilyn Stovall ◽  
Deborah A. Kuban ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Intensity Modulated Radiation Therapy ◽  
Neutron Dose ◽  
Intensity Modulated ◽  
Step And Shoot

Automatic feathering of split fields for step-and-shoot intensity modulated radiation therapy

2003 ◽  
Vol 48 (9) ◽  
pp. 1133-1140 ◽  
Author(s):  
Nesrin Dogan ◽  
Leonid B Leybovich ◽  
Anil Sethi ◽  
Bahman Emami
Keyword(s):  
Radiation Therapy ◽  
Intensity Modulated Radiation Therapy ◽  
Intensity Modulated ◽  
Step And Shoot

EFFICIENT ALGORITHM FOR OPTIMAL MATRIX ORTHOGONAL DECOMPOSITION PROBLEM IN INTENSITY-MODULATED RADIATION THERAPY

2009 ◽  
Vol 19 (03) ◽  
pp. 231-246
Author(s):  
XIAODONG WU ◽  
XIN DOU ◽  
JOHN E. BAYOUTH ◽  
JOHN M. BUATTI
Keyword(s):  
Radiation Therapy ◽  
Intensity Modulated Radiation Therapy ◽  
Matrix Decomposition ◽  
Decomposition Problem ◽  
Normal Tissues ◽  
Intensity Modulated ◽  
The Matrix ◽  
Step And Shoot ◽  
Trivial Graph ◽  
Delivery Efficiency

In this paper, we study an interesting matrix decomposition problem that seeks to decompose a "complicated" matrix into two "simpler" matrices while minimizing the sum of the horizontal complexity of the first sub-matrix and the vertical complexity of the second sub-matrix. The matrix decomposition problem is crucial for improving the "step-and-shoot" delivery efficiency in Intensity-Modulated Radiation Therapy, which aims to deliver a highly conformal radiation dose to a target tumor while sparing the surrounding normal tissues. Our algorithm is based on a non-trivial graph construction scheme, which enables us to formulate the decomposition problem as computing a minimum s-t cut in a 3-D geometric multi-pillar graph. Experiments on randomly generated intensity map matrices and on clinical data demonstrated the efficacy of our algorithm.

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