This project is to generate frames of MOBY mouse and spherical lesion phantoms with motion (heart beating and/or respiratory motion) and assign functional and optical properties to each tissue type.
If you use this software please cite
Lozenski, L., Cam, R. M., Pagel, M. D., Anastasio, M. A., Villa, U., “ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction”. In: Transactions on Computational Imaging 10 (2024), pp. 1368–1383. doi: 10.1109/TCI.2024.3458397
Shah, J., Lozenski, L., Anastasio, M., Pagel, M., Villa, U., “A low-rank-based image reconstruction method for dynamic contrast-enhanced multispectral optoacoustic tomography (DCE-MSOT)”. In: Medical Imaging 2025: Ultrasonic Imaging and Tomography. Ed. by Christian Boehm and Mohammad Mehrmohammadi. Vol. 13412. International Society for Optics and Photonics. SPIE, 2025, p. 134120I. doi: 10.1117/12.3047128
Cam, R. M., Huang, H.-K., Lozenski, L., Park, S., Anastasio, M. A., Villa, U., “Numerical mouse phantoms for multispectral dynamic contrast-enhanced photoacoustic computed tomography”. In: Photons Plus Ultrasound: Imaging and Sensing 2025. Ed. by Alexander A. Oraevsky and Lihong V. Wang. Vol. 13319. International Society for Optics and Photonics. SPIE, 2025, p. 133190C. doi: 10.1117/12.3049240.
This work is funded in part by the US National Institutes of Health (NIH) under award R01EB034261.