Program Information
Bioluminescence Tomography-Small Animal Radiation Research Platform with Simplified Spherical Harmonics Algorithm
X Xu1*, A Klose2 , M Barbhuiya1 , Z Deng1 , P Tsouchlos3 , P Tran1 , J Wong1 , K Wang1 , (1) Johns Hopkins School of Medicine, Baltimore, Maryland, (2) In Vivo Analytics, Inc., New York, New York, (3) Xstrahl Inc, Suwanee, GA
Presentations
TU-C1-GePD-IT-5 (Tuesday, August 1, 2017) 9:30 AM - 10:00 AM Room: Imaging ePoster Theater
Purpose: To overcome the limitation of cone-beam CT (CBCT) in guiding radiation for soft tissue targets, we have developed a bioluminescence tomography (BLT) system for the small animal radiation research platform (SARRP). To advance the capability of the SARRP, we implemented the BLT algorithm with a simplified Spherical Harmonics (SP₃) method. Phantom and a transgenic liver tumor mouse model will be used to assess the BLT reconstruction accuracy.
Methods: The BLT algorithm uses the SP₃ solutions to the radiative transfer equation for modeling the bioluminescence light propagation in tissue. A finite-difference technique with a blocking-off region method is used to solve the SP₃ equations and boundary conditions on a regular mesh grid. To assess the performance of the SP₃ algorithm, in terms of localizing bioluminescent targets and resolving tumor volumes, we will first test the algorithm with a tissue phantom implanted with a light source. Then in vivo tests using a transgenic bioluminescent liver tumor mouse model will be analyzed. Multiview and multispectral bioluminescence images will be acquired for the BLT reconstruction. The BLT images will be registered with CBCT to validate the reconstructed light source position for the phantom tests. For the animal model studies, MRI and ex vivo analysis will be conducted to validate the BLT reconstructed liver tumor volume. The target localization accuracy of the SP₃ algorithm will also be compared with our previously published conjugate gradient method.
Results: We expect with the advanced SP₃ algorithm, our BLT-SARRP system will be able to recover tumor volumes and localize target positions in a soft tissue environment within an average accuracy of 1mm.
Conclusion: This study will demonstrate the potential of using the BLT-SARRP to quantitatively resolve soft tissue target volume in low image contrast environments as well as monitor tumor growth delay in response to irradiation.
Funding Support, Disclosures, and Conflict of Interest: This work is supported by Xstrahl Ltd(90043185). Conflict of interest: Dr. Wong receive royalty payment from a licensing agreement between Xstrahl Ltd. and Johns Hopkins University. Dr. Alex Klose is the co-founder and CTO for IN VIVO ANALYTICS, INC.
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