TY - GEN
T1 - Numerical Mouse Phantoms for Multispectral Dynamic Contrast-Enhanced Photoacoustic Computed Tomography
AU - Cam, Refik Mert
AU - Huang, Hsuan Kai
AU - Lozenski, Luke
AU - Park, Seonyeong
AU - Anastasio, Mark A.
AU - Villa, Umberto
N1 - We would like to express our sincere gratitude to Dr. Paul Segars from the Center for Virtual Imaging Trials at Duke University for providing access to and support with the MOBY software. We also appreciate Dr. Marty Pagel from the University of Wisconsin for his insightful input and discussions on mDCE-PACT tumor perfusion imaging. This work was supported in part by NIH Awards R01EB034261, R01EB031585, and P41EB028744.
PY - 2025
Y1 - 2025
N2 - Realistic numerical phantoms and virtual imaging trials play a crucial role in evaluating reconstruction algorithms and optimizing system parameters, especially for emerging imaging technologies. By providing a controlled environment for testing and refinement, these tools help accelerate the development process and reduce the need for costly and time-consuming physical experiments. Multispectral dynamic contrast-enhanced photoacoustic computed tomography (mDCE-PACT) emerges as a promising technique for quantitatively imaging tumor vascular perfusion, essential for evaluating tumor angiogenesis and treatment response. However, the lack of detailed numerical phantoms for mDCE-PACT restricts the advancement and evaluation of sophisticated reconstruction algorithms and imaging system designs. We introduce a comprehensive framework for generating realistic numerical phantoms specifically designed for mDCE-PACT to address this limitation. Our method utilizes the 4D mouse whole-body phantom generation tool (MOBY) to simulate anatomical features, including tumors, and physiological movements such as cardiac and respiratory motions. Tissue properties are assigned based on the established literature, considering wavelength-dependent optical absorption and scattering coefficients. The dynamic contrast agent concentration is modeled using the extended Tofts model, which is frequently used in dynamic contrast-enhanced imaging. The developed phantoms will facilitate the evaluation and refinement of spatiotemporal image reconstruction algorithms and imaging system designs. By overcoming existing resource limitations, our framework aims to advance the assessment and development of mDCE-PACT techniques for monitoring tumor vascular dynamics.
AB - Realistic numerical phantoms and virtual imaging trials play a crucial role in evaluating reconstruction algorithms and optimizing system parameters, especially for emerging imaging technologies. By providing a controlled environment for testing and refinement, these tools help accelerate the development process and reduce the need for costly and time-consuming physical experiments. Multispectral dynamic contrast-enhanced photoacoustic computed tomography (mDCE-PACT) emerges as a promising technique for quantitatively imaging tumor vascular perfusion, essential for evaluating tumor angiogenesis and treatment response. However, the lack of detailed numerical phantoms for mDCE-PACT restricts the advancement and evaluation of sophisticated reconstruction algorithms and imaging system designs. We introduce a comprehensive framework for generating realistic numerical phantoms specifically designed for mDCE-PACT to address this limitation. Our method utilizes the 4D mouse whole-body phantom generation tool (MOBY) to simulate anatomical features, including tumors, and physiological movements such as cardiac and respiratory motions. Tissue properties are assigned based on the established literature, considering wavelength-dependent optical absorption and scattering coefficients. The dynamic contrast agent concentration is modeled using the extended Tofts model, which is frequently used in dynamic contrast-enhanced imaging. The developed phantoms will facilitate the evaluation and refinement of spatiotemporal image reconstruction algorithms and imaging system designs. By overcoming existing resource limitations, our framework aims to advance the assessment and development of mDCE-PACT techniques for monitoring tumor vascular dynamics.
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U2 - 10.1117/12.3049240
DO - 10.1117/12.3049240
M3 - Conference contribution
AN - SCOPUS:105004301498
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Photons Plus Ultrasound
A2 - Oraevsky, Alexander A.
A2 - Wang, Lihong V.
PB - SPIE
T2 - Photons Plus Ultrasound: Imaging and Sensing 2025
Y2 - 26 January 2025 through 29 January 2025
ER -