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Experimental study on bioluminescence tomography with multimodality fusion.

Lv Y, Tian J, Cong W, Wang G - Int J Biomed Imaging (2007)

Bottom Line: To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT), the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements.In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs) and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency.The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction.

View Article: PubMed Central - PubMed

Affiliation: Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, China.

ABSTRACT
To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT), the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements. In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs) and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency. The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction.

No MeSH data available.


Related in: MedlinePlus

Schematic diagram of the multipleview bioluminescence imaging experiment.
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Related In: Results  -  Collection


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fig3: Schematic diagram of the multipleview bioluminescence imaging experiment.

Mentions: In this bioluminescence imaging experiment, a heterogeneous physical phantom of30 mm height and 15 mm radius is designed and fabricated. The phantom, shown in Figure 1(b), is made up of four different materials,that is, high-density polyethylene (8624K16), nylon 6/6 (8538K23), delrin (8579K21), and polypropylene(8658K11) to represent muscle, lungs, heart, and bone, respectively. Two luminescent sources of about1.9 mm height and 0.56 mm diameter are embedded in the left-lung region of the phantom with the centers at (, 1.5, 0.0) and (, , 0.0). Theirsource densities are 155.53 nW/mm3 and 178.49 nW/mm3, respectively. The slice of the phantom representing anatomical information is obtained by microCT scanner for generating the volumetric finite element mesh,as shown in Figure 1(c). In addition, the optical properties of four materials as a priori information need to be acquired. To each material, a cylindrical phantom with10 mm radius and 20 mm height was made. The side surface of the phantom was blackened. After the stable light was obtained by an integrating sphere, it was guided for illumination through the optic fiber. The optic fiber was inserted into a small hole of 10 mmdepth at the center of the phantom bottom surface. The CCD camera was used to detect theoutput photon density on the other bottom surface of the phantom. After the data acquisition, anoptical tomography procedure was used to decide the optical parameters of each material.Specifically, the specimen was considered as a semi-infinite homogeneous medium, and diffusiontheory was applied with the extrapolated boundary condition. The photon density on the bottomsurface was predicted by an analytic formula; and then, the absorption and reduced scatteringcoefficients were calculated by a nonlinear least-square fitting, as shown in Table 1. The detailed information can be found in [8]. In the noncontact detection mode, multiview detection is essential to reduce the influence of the curved surface of the phantom on the measured value. In this experiment, four views are acquired, which are separatedby 90 degrees along radial directions. Its schematic diagram is displayed in Figure 2. Measured data on the CCD camera is transformed from the recorded pixel gray levels by [8], where is the photondensity and pix denotes the pixel value.


Experimental study on bioluminescence tomography with multimodality fusion.

Lv Y, Tian J, Cong W, Wang G - Int J Biomed Imaging (2007)

Schematic diagram of the multipleview bioluminescence imaging experiment.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2211423&req=5

fig3: Schematic diagram of the multipleview bioluminescence imaging experiment.
Mentions: In this bioluminescence imaging experiment, a heterogeneous physical phantom of30 mm height and 15 mm radius is designed and fabricated. The phantom, shown in Figure 1(b), is made up of four different materials,that is, high-density polyethylene (8624K16), nylon 6/6 (8538K23), delrin (8579K21), and polypropylene(8658K11) to represent muscle, lungs, heart, and bone, respectively. Two luminescent sources of about1.9 mm height and 0.56 mm diameter are embedded in the left-lung region of the phantom with the centers at (, 1.5, 0.0) and (, , 0.0). Theirsource densities are 155.53 nW/mm3 and 178.49 nW/mm3, respectively. The slice of the phantom representing anatomical information is obtained by microCT scanner for generating the volumetric finite element mesh,as shown in Figure 1(c). In addition, the optical properties of four materials as a priori information need to be acquired. To each material, a cylindrical phantom with10 mm radius and 20 mm height was made. The side surface of the phantom was blackened. After the stable light was obtained by an integrating sphere, it was guided for illumination through the optic fiber. The optic fiber was inserted into a small hole of 10 mmdepth at the center of the phantom bottom surface. The CCD camera was used to detect theoutput photon density on the other bottom surface of the phantom. After the data acquisition, anoptical tomography procedure was used to decide the optical parameters of each material.Specifically, the specimen was considered as a semi-infinite homogeneous medium, and diffusiontheory was applied with the extrapolated boundary condition. The photon density on the bottomsurface was predicted by an analytic formula; and then, the absorption and reduced scatteringcoefficients were calculated by a nonlinear least-square fitting, as shown in Table 1. The detailed information can be found in [8]. In the noncontact detection mode, multiview detection is essential to reduce the influence of the curved surface of the phantom on the measured value. In this experiment, four views are acquired, which are separatedby 90 degrees along radial directions. Its schematic diagram is displayed in Figure 2. Measured data on the CCD camera is transformed from the recorded pixel gray levels by [8], where is the photondensity and pix denotes the pixel value.

Bottom Line: To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT), the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements.In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs) and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency.The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction.

View Article: PubMed Central - PubMed

Affiliation: Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, China.

ABSTRACT
To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT), the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements. In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs) and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency. The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction.

No MeSH data available.


Related in: MedlinePlus