TY - JOUR
T1 - Model-based reconstruction integrated with fluence compensation for photoacoustic tomography
AU - Bu, Shuhui
AU - Liu, Zhenbao
AU - Shiina, Tsuyoshi
AU - Kondo, Kengo
AU - Yamakawa, Makoto
AU - Fukutani, Kazuhiko
AU - Someda, Yasuhiro
AU - Asao, Yasufumi
PY - 2012/5
Y1 - 2012/5
N2 - Photoacoustic (PA) tomography (PAT) is a rapidly developing imaging modality that can provide high contrast and spatial-resolution images of light-absorption distribution in tissue. However, reconstruction of the absorption distribution is affected by nonuniform light fluence. This paper introduces a reconstruction method for reducing amplification of noise and artifacts in low-fluence regions. In this method, fluence compensation is integrated into model-based reconstruction, and the absorption distribution is iteratively updated. At each iteration, we calculate the residual between detected PA signals and the signals computed by a forward model using the initial pressure, which is the product of estimated voxel value and light fluence. By minimizing the residual, the reconstructed values converge to the true absorption distribution. In addition, we developed a matrix compression method for reducing memory requirements and accelerating reconstruction speed. The results of simulation and phantom experiments indicate that the proposed method provides a better contrast-to-noise ratio (CNR) in low-fluence regions. We expect that the capability of increasing imaging depth will broaden the clinical applications of PAT.
AB - Photoacoustic (PA) tomography (PAT) is a rapidly developing imaging modality that can provide high contrast and spatial-resolution images of light-absorption distribution in tissue. However, reconstruction of the absorption distribution is affected by nonuniform light fluence. This paper introduces a reconstruction method for reducing amplification of noise and artifacts in low-fluence regions. In this method, fluence compensation is integrated into model-based reconstruction, and the absorption distribution is iteratively updated. At each iteration, we calculate the residual between detected PA signals and the signals computed by a forward model using the initial pressure, which is the product of estimated voxel value and light fluence. By minimizing the residual, the reconstructed values converge to the true absorption distribution. In addition, we developed a matrix compression method for reducing memory requirements and accelerating reconstruction speed. The results of simulation and phantom experiments indicate that the proposed method provides a better contrast-to-noise ratio (CNR) in low-fluence regions. We expect that the capability of increasing imaging depth will broaden the clinical applications of PAT.
KW - Fluence compensation
KW - model-based reconstruction
KW - photoacoustic (PA)
UR - http://www.scopus.com/inward/record.url?scp=84860386717&partnerID=8YFLogxK
U2 - 10.1109/TBME.2012.2187649
DO - 10.1109/TBME.2012.2187649
M3 - 文章
C2 - 22345521
AN - SCOPUS:84860386717
SN - 0018-9294
VL - 59
SP - 1354
EP - 1363
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 5
M1 - 6151813
ER -