Dose optimization of proton and heavy ion therapy using generalized sampled pattern matching.
We have proposed a new dose optimization method for proton and heavy ion therapy using generalized sampled pattern matching, where an optimal beam weight distribution for scanning is obtained as a solution. Using water phantom models, one-dimensional lateral and depth dose distributions were separately optimized, each resulting in a uniform dose distribution within a target region and minimum dose fall-off to minimize undesired irradiation onto neighbouring tissues. Subsequently, we have applied the technique to broad beam three-dimensional proton therapy, leading to a homogeneous dose distribution inside a target and minimized distal and lateral dose fall-off for most convex tumour shapes.
Yoda
K
K
Mitsubishi Electric Corporation, Advanced Technology R&D Center, Amagasaki, Japan.
Saito
Y
Y
Sakamoto
H
H
D006801:Humans; D008962:Models, Theoretical; D009369:Neoplasms / Q000532:radiotherapy*; D019047:Phantoms, Imaging; D011522:Protons; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D014867:Water
D011522:Protons; D014867:Water