Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units (original) (raw)

A pr 2 01 3 Accelerating Image Reconstruction in Three-Dimensional Optoacoustic Tomography on Graphics Processing Units

2013

X iv :1 30 4. 20 17 v1 [ ph ys ic s. m ed -p h] 7 A pr 2 01 3 Accelerating Image Reconstruction in Three-Dimensional Optoacoustic Tomography on Graphics Processing Units Kun Wang, a) Chao Huang, a) Yu-Jiun Kao, Cheng-Ying Chou, Alexander A. Oraevsky, and Mark A. Anastasio b) Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130 Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei 106, Taiwan TomoWave Laboratories, 675 Bering drive, Suite 575, Houston, Texas, Houston, TX 77057

A LITERATURE SURVEY ON 3-D OPTOACOUSTIC TOMOGRAPHY AND ITS RECONSTRUCTION PATTERNS

IJRCAR, 2014

Optoacoustic tomography (OAT) is a hybrid, non invasive method which is also known as photo acoustic tomography, is an emerging computed biomedical imaging modality. Reconstruction method is used to reconstruct the OAT images, among which iterative reconstruction algorithm is the one that is designed to minimize the error between measured signals and signals from the reconstructed image. The Kaiser-Bessel window functions for iterative reconstruction are accomplished for the accurate computation of the system matrix. In this work we review the different types of reconstruction algorithm such as pseudo inverse reconstruction, filtered back projection, simple back projection and direct Fourier Transform method

Iterative reconstruction method for three-dimensional optoacoustic imaging

2001

abstract Three-dimensional optoacoustic imaging uses detection of laser-generated thermoelastic waves with an ultrasound sensor array. Integrated acoustic signals (velocity potentials) are back projected into the source volume to give a map of absorbed laser energy. Since the number of array elements and the receiving solid angle are limited, radial back projection produces artifacts such as back projection arcs. To solve this problem, we developed in this study an iterative method for image reconstruction.