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Home > 학회활동 > 국제학술지 |
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작성일 : 12-12-21 17:47
| 저 자 |
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Hojin Kim et al |
| 제 목 |
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Efficient IMRT inverse planning with a new L1-solver: template for first-order conic solver |
| 학회지명 |
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PHYSICS IN MEDICINE AND BIOLOGY |
| 권 호 |
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57 |
| 페이지 |
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4139-4153 |
| 년,월 |
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2012-6-8 |
| 링 크 |
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| Abstract |
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Intensity modulated radiation therapy (IMRT) inverse planning using total-
variation (TV) regularization has been proposed to reduce the complexity of
fluence maps and facilitate dose delivery. Conventionally, the optimization
problem with L-1 norm is solved with quadratic programming (QP), which is
time consuming andmemory expensive due to the second-orderNewton update.
This study proposes to use a new algorithm, template for first-order conic
solver (TFOCS), for fast and memory-efficient optimization in IMRT inverse
planning. The TFOCS utilizes dual-variable updates and first-order approaches
for TV minimization without the need to compute and store the enlarged
Hessian matrix required for Newton update in the QP technique. To evaluate
the effectiveness and efficiency of the proposedmethod, two clinical cases were
used for IMRT inverse planning: a head and neck case and a prostate case. For
comparison, the conventional QP-based method for the TV form was adopted
to solve the fluence map optimization problem in the above two cases. The
convergence criteria and algorithm parameters were selected to achieve similar
dose conformity for a fair comparison between the two methods. Compared
with conventional QP-based approach, the proposed TFOCS-based method
shows a remarkable improvement in computational efficiency for fluence map
optimization, while maintaining the conformal dose distribution. Compared
with QP-based algorithms, the computational speed using TFOCS for fluence
optimization is increased by a factor of 4 to 6, and at the same time the memory
requirement is reduced by a factor of 3 to 4. Therefore, TFOCS provides an
effective, fast and memory-efficient method for IMRT inverse planning. The
unique features of the approach should be particularly important in inverse planning involving a large number of beams, such as in VMAT and dense
angularly sampled and sparse intensitymodulated radiation therapy (DASSIM-
RT). |
 2012_김호진_PMB.pdf (768.0K) [787] DATE : 2012-12-21 17:47:39 |
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