Algorithms for bioluminescence tomography incorporating anatomical information and reconstruction of tissue optical properties

Naser, Mohamed A.; Patterson, Michael S.

doi:10.1364/boe.1.000512

Cited by 47 publications

(45 citation statements)

References 28 publications

(22 reference statements)

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“…However this experimental condition rarely occurs for in vivo imaging being more common for ex vivo studies. Moreover, the use of the 3D MRI image can provide anatomical a priori information allowing us to improve the quality of optical 3D reconstruction for fluorescence, bioluminescence and Cerenkov imaging modalities [16]. Figure 4c shows that the relative error calculate on a pixel by pixel basis.…”

Section: Discussionmentioning

confidence: 99%

Design of a multimodal fibers optic system for small animal optical imaging

2015

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Section: Discussionmentioning

confidence: 99%

Design of a multimodal fibers optic system for small animal optical imaging

2015

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“…Equation (1) can be further expressed in the form of Green’s functions which link the fluence rate at the object boundary and the bioluminescence source distribution (34, 35). For M measurements and N mesh nodes, the relationship can be expressed as…”

Section: Methodsmentioning

confidence: 99%

Bioluminescence Tomography–Guided Radiation Therapy for Preclinical Research

Zhang

Wang

et al. 2016

International Journal of Radiation Oncology*Biology*Physics

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Purpose In pre-clinical radiation research, it is challenging to localize soft tissue targets based on cone beam computed tomography (CBCT)-guidance. As a more effective method to localize soft tissue targets, we developed an online bioluminescence tomography (BLT) system for the small animal radiation research platform (SARRP). We demonstrated BLT-guided radiotherapy and validated targeting accuracy, based on a newly developed reconstruction algorithm. Methods and Materials The BLT system was designed to dock onto the SARRP for image acquisition and to be detached before radiation delivery. A 3-mirror system was devised to reflect the bioluminescence emitted from the subject to a stationary CCD camera. Multispectral BLT and the incomplete variables truncated conjugate gradient method with a permissible region shrinking strategy were employed as the optimization scheme to reconstruct bioluminescent source distributions. To validate BLT targeting accuracy, a small cylindrical light source with high CBCT contrast was placed in a phantom and also in the abdomen of a mouse carcass. The center of mass (CoM) of the source was recovered from BLT and used to guide radiation delivery. The accuracy of the BLT-guided targeting was validated with films and compared with the CBCT-guided delivery. In vivo experiments were conducted to demonstrate the BLT localization capability for various source geometries. Results Online BLT was able to recover the CoM of the imbedded light source with an average accuracy of 1 mm compared to CBCT localization. The difference between the BLT- and CBCT-guided irradiation shown on the films was consistent with the source localization revealed in the BLT and CBCT images. The in vivo results demonstrated that our BLT system could potentially be applied for multiple targets and tumors. Conclusions The online BLT/CBCT/SARRP system provides an effective solution for soft tissue targeting, particularly for small, non-palpable, or orthotopic tumor models.

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“…With prior information of anatomy and optical properties, the BLT algorithm can more accurately reconstruct the position and power of the bioluminescence sources. 22 F. 1.…”

Section: A System Designmentioning

confidence: 99%

Systematic calibration of an integrated x‐ray and optical tomography system for preclinical radiation research

et al. 2015

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Purpose: The cone beam computed tomography (CBCT) guided small animal radiation research platform (SARRP) has been developed for focal tumor irradiation, allowing laboratory researchers to test basic biological hypotheses that can modify radiotherapy outcomes in ways that were not feasible previously. CBCT provides excellent bone to soft tissue contrast, but is incapable of differentiating tumors from surrounding soft tissue. Bioluminescence tomography (BLT), in contrast, allows direct visualization of even subpalpable tumors and quantitative evaluation of tumor response. Integration of BLT with CBCT offers complementary image information, with CBCT delineating anatomic structures and BLT differentiating luminescent tumors. This study is to develop a systematic method to calibrate an integrated CBCT and BLT imaging system which can be adopted onboard the SARRP to guide focal tumor irradiation. Methods: The integrated imaging system consists of CBCT, diffuse optical tomography (DOT), and BLT. The anatomy acquired from CBCT and optical properties acquired from DOT serve as a priori information for the subsequent BLT reconstruction. Phantoms were designed and procedures were developed to calibrate the CBCT, DOT/BLT, and the entire integrated system. Geometrical calibration was performed to calibrate the CBCT system. Flat field correction was performed to correct the nonuniform response of the optical imaging system. Absolute emittance calibration was performed to convert the camera readout to the emittance at the phantom or animal surface, which enabled the direct reconstruction of the bioluminescence source strength. Phantom and mouse imaging were performed to validate the calibration. Results: All calibration procedures were successfully performed. Both CBCT of a thin wire and a euthanized mouse revealed no spatial artifact, validating the accuracy of the CBCT calibration. The absolute emittance calibration was validated with a 650 nm laser source, resulting in a 3.0% difference between simulated and measured signal. The calibration of the entire system was confirmed through the CBCT and BLT reconstruction of a bioluminescence source placed inside a tissue-simulating optical phantom. Using a spatial region constraint, the source position was reconstructed with less than 1 mm error and the source strength reconstructed with less than 24% error. Conclusions: A practical and systematic method has been developed to calibrate an integrated x-ray and optical tomography imaging system, including the respective CBCT and optical tomography system calibration and the geometrical calibration of the entire system. The method can be modified and adopted to calibrate CBCT and optical tomography systems that are operated independently or hybrid x-ray and optical tomography imaging systems. C 2015 American Association of Physicists in Medicine. [http://dx

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Algorithms for bioluminescence tomography incorporating anatomical information and reconstruction of tissue optical properties

Cited by 47 publications

References 28 publications

Design of a multimodal fibers optic system for small animal optical imaging

Design of a multimodal fibers optic system for small animal optical imaging

Bioluminescence Tomography–Guided Radiation Therapy for Preclinical Research

Systematic calibration of an integrated x‐ray and optical tomography system for preclinical radiation research

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