Paper 13412-16
Paper 13412-16
A low-rank-based image reconstruction method for dynamic contrast-enhanced multispectral optoacoustic tomography (DCE-MSOT)
19 February 2025 • 10:50 AM - 11:10 AM PST | Palm 2
Abstract
Dynamic contrast-enhanced multispectral optoacoustic tomography (DCE-MSOT) is a non-invasive imaging modality that uses multispectral optical excitation along with tomographic acoustic detection principles to estimate tumor perfusion rates in biological tissues. The reconstructed image can be viewed as a function of space, wavelength, and time. Previous works on dynamic optoacoustic imaging have demonstrated that a low-rank-based representation of the sought-after spatiotemporal object can achieve accurate, memory-efficient reconstruction of high-resolution dynamic images. This work proposes extending low-rank approaches to multispectral dynamic image reconstruction. The proposed approach is validated in a virtual imaging study and demonstrated in-vivo for DCE-MSOT imaging of tumor perfusion.
Presenter
Jenil Shah
The Univ. of Texas at Austin (United States)
Jenil Shah is a Master's student at the Oden Institute for Computational Science at the University of Texas at Austin. He received his B.Tech and M.Tech degrees in Energy Science and Engineering from the Indian Institute of Technology, Bombay, in 2019. His research interests lie in large-scale image reconstruction methods, inverse problems, multispectral optoacoustic tomography and other biomedical imaging, and matrix and tensor-based algorithms for optimal and efficient solutions to inverse problems.