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GPU - Accelerated Finite Element For...

Kart, Turkay.

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GPU - Accelerated Finite Element Forward Solver in Diffuse Optical Tomography.

Record Type:	Electronic resources : Monograph/item
Title/Author:	GPU - Accelerated Finite Element Forward Solver in Diffuse Optical Tomography./
Author:	Kart, Turkay.
Description:	79 p.
Notes:	Source: Masters Abstracts International, Volume: 55-04.
Contained By:	Masters Abstracts International55-04(E).
Subject:	Medical imaging. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10046777
ISBN:	9781339563961

GPU - Accelerated Finite Element Forward Solver in Diffuse Optical Tomography.
Kart, Turkay.

GPU - Accelerated Finite Element Forward Solver in Diffuse Optical Tomography. - 79 p.

Source: Masters Abstracts International, Volume: 55-04.

Thesis (M.S.)--University of California, Irvine, 2016.

Diffuse Optical Tomography (DOT) is a recently emerging imaging modality that provides optical properties of a tissue. One of main challenges in DOT is the fact that it requires modeling of light propagation in tissue, which is a time consuming and computationally intensive task. However, this process can be accelerated by parallelizing the application. A graphics processing unit (GPU) has the suitable architecture for this task. Therefore, the main goal of this work is to implement a GPU-based solver for the forward problem of DOT. A Finite Element method is utilized to solve the diffusion approximation of the photon transport model in the project. CUDA's parallel architecture and MATLAB software are combined for the implementation of GPU-based forward solver. Several simulations are performed to test computational accuracy and efficiency of the solver. The results show that GPU-based implementation provides a significant speed-up with high accuracy.

ISBN: 9781339563961Subjects--Topical Terms:

3172799
Medical imaging.

GPU - Accelerated Finite Element Forward Solver in Diffuse Optical Tomography.
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100 1 $a Kart, Turkay. $3 3192667
245 1 0 $a GPU - Accelerated Finite Element Forward Solver in Diffuse Optical Tomography.
300 $a 79 p.
500 $a Source: Masters Abstracts International, Volume: 55-04.
500 $a Adviser: Gultekin Gulsen.
502 $a Thesis (M.S.)--University of California, Irvine, 2016.
520 $a Diffuse Optical Tomography (DOT) is a recently emerging imaging modality that provides optical properties of a tissue. One of main challenges in DOT is the fact that it requires modeling of light propagation in tissue, which is a time consuming and computationally intensive task. However, this process can be accelerated by parallelizing the application. A graphics processing unit (GPU) has the suitable architecture for this task. Therefore, the main goal of this work is to implement a GPU-based solver for the forward problem of DOT. A Finite Element method is utilized to solve the diffusion approximation of the photon transport model in the project. CUDA's parallel architecture and MATLAB software are combined for the implementation of GPU-based forward solver. Several simulations are performed to test computational accuracy and efficiency of the solver. The results show that GPU-based implementation provides a significant speed-up with high accuracy.
590 $a School code: 0030.
650 4 $a Medical imaging. $3 3172799
650 4 $a Computer science. $3 523869
650 4 $a Biomedical engineering. $3 535387
690 $a 0574
690 $a 0984
690 $a 0541
710 2 $a University of California, Irvine. $b Biomedical Engineering. $3 2049753
773 0 $t Masters Abstracts International $g 55-04(E).
790 $a 0030
791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10046777