Minming Huang and Quing Zhu, "Dual-mesh optical tomography reconstruction method with a depth correction that uses a prioriultrasound information," Appl. Opt. 43, 1654-1662 (2004)
A dual-mesh reconstruction method with a depth correction for near-infrared diffused wave imaging with ultrasound localization is demonstrated by use of phantoms and clinical cancer cases. Column normalization is applied to the weight matrix obtained from the Born approximation to correct the depth-dependent problem in the reconstructed absorption maps as well as in the total hemoglobin concentration maps. With the depth correction, more uniform absorption maps for target layers at different depths are obtained from the phantoms, and the correlation between the reconstructed hemoglobin concentration maps of deeply located, large cancers and the histological microvessel density counts are dramatically improved.
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ROI: Region of interest, fine mesh.
Mean values obtained within the target region for each target layer. The mean values are calculated by averaging the reconstructed values of the voxels within the target region for the corresponding layers.
Mean values obtained within the entire target region. The mean value is calculated by averaging the reconstructed values of the voxels within the entire target region.
Table 2
Comparison of the Reconstructed μa Values from Phantom Experiment without and with Depth Correction (Big Phantoms)
Target Contrast
Big Targets (4 cm × 4 cm × 2 cm ellipsoidal shape)
ROI: Region of interest, fine mesh.
Mean values obtained within the target region for each target layer. The mean values are calculated by averaging the reconstructed values of the voxels within the target region for the corresponding layers.
Mean values obtained within the entire target region. The mean is calculated by averaging the reconstructed values of the voxels within the entire target region.
Table 3
Comparison of the Reconstructed Results of the Two Cancer Cases without and with Depth Correction
ID: Identification.
ROI: Region of interest, fine mesh.
Mean values obtained within the target region for each target layer. The mean values of different target layers are calculated by averaging the reconstructed values of the voxels within the target region for corresponding layers.
Hb: Hemoglobin.
Tables (3)
Table 1
Comparison of the Reconstructed μa Values from Phantom Experiment without and with Depth Correction (Small Phantoms)
ROI: Region of interest, fine mesh.
Mean values obtained within the target region for each target layer. The mean values are calculated by averaging the reconstructed values of the voxels within the target region for the corresponding layers.
Mean values obtained within the entire target region. The mean value is calculated by averaging the reconstructed values of the voxels within the entire target region.
Table 2
Comparison of the Reconstructed μa Values from Phantom Experiment without and with Depth Correction (Big Phantoms)
Target Contrast
Big Targets (4 cm × 4 cm × 2 cm ellipsoidal shape)
ROI: Region of interest, fine mesh.
Mean values obtained within the target region for each target layer. The mean values are calculated by averaging the reconstructed values of the voxels within the target region for the corresponding layers.
Mean values obtained within the entire target region. The mean is calculated by averaging the reconstructed values of the voxels within the entire target region.
Table 3
Comparison of the Reconstructed Results of the Two Cancer Cases without and with Depth Correction
ID: Identification.
ROI: Region of interest, fine mesh.
Mean values obtained within the target region for each target layer. The mean values of different target layers are calculated by averaging the reconstructed values of the voxels within the target region for corresponding layers.
Hb: Hemoglobin.