Title

A multi-GPU real-time dose simulation software framework for lung radiotherapy

Authors

Authors

A. P. Santhanam; Y. Min; H. Neelakkantan; N. Papp; S. L. Meeks;P. A. Kupelian

Comments

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Abbreviated Journal Title

Int. J. Comput. Assist. Radiol. Surg.

Keywords

Lung radiotherapy; GPU algorithms; Dose simulation; MOTION; DOSIMETRY; MODEL; Engineering, Biomedical; Radiology, Nuclear Medicine & Medical Imaging; Surgery

Abstract

Medical simulation frameworks facilitate both the preoperative and postoperative analysis of the patient's pathophysical condition. Of particular importance is the simulation of radiation dose delivery for real-time radiotherapy monitoring and retrospective analyses of the patient's treatment. In this paper, a software framework tailored for the development of simulation-based real-time radiation dose monitoring medical applications is discussed. A multi-GPU-based computational framework coupled with inter-process communication methods is introduced for simulating the radiation dose delivery on a deformable 3D volumetric lung model and its real-time visualization. The model deformation and the corresponding dose calculation are allocated among the GPUs in a task-specific manner and is performed in a pipelined manner. Radiation dose calculations are computed on two different GPU hardware architectures. The integration of this computational framework with a front-end software layer and back-end patient database repository is also discussed. Real-time simulation of the dose delivered is achieved at once every 120 ms using the proposed framework. With a linear increase in the number of GPU cores, the computational time of the simulation was linearly decreased. The inter-process communication time also improved with an increase in the hardware memory. Variations in the delivered dose and computational speedup for variations in the data dimensions are investigated using D70 and D90 as well as gEUD as metrics for a set of 14 patients. Computational speed-up increased with an increase in the beam dimensions when compared with a CPU-based commercial software while the error in the dose calculation was < 1%. Our analyses show that the framework applied to deformable lung model-based radiotherapy is an effective tool for performing both real-time and retrospective analyses.

Journal Title

International Journal of Computer Assisted Radiology and Surgery

Volume

7

Issue/Number

5

Publication Date

1-1-2012

Document Type

Article

Language

English

First Page

705

Last Page

719

WOS Identifier

WOS:000308441200004

ISSN

1861-6410

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