Authors: Kimberly Chan, Anke Henning, Mahrshi Jani, Andrew Wright, Xinyu Zhang
Affiliation: Advanced Imaging Research Center (AIRC), UT Southwestern Medical Center
Abstract Preview: Purpose: To evaluate the performance of multiple deep learning architectures for MRSI reconstruction and determine their effectiveness in maintaining high-resolution metabolite mapping while reducing ...
Authors: Jared Baggett, Wesley E. Bolch, Lukas M. Carter, Robert Joseph Dawson, Laura Dinwiddie, Adam Leon Kesner, Cameron B. Kofler, Juan Camilo Ocampo Ramos, Yitian Wang, Stefan Wehmeier
Affiliation: University of Chicago, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, University of Florida, MD Anderson
Abstract Preview: Purpose: To develop a slice-specific computed tomography (CT) organ dose library using Monte Carlo radiation transport simulations on a newly created set of newborn, infant, and toddler computational ...
Authors: Anke Henning, Mahrshi Jani, Tianyu Wang, Andrew Wright, Xinyu Zhang
Affiliation: Advanced Imaging Research Center (AIRC), UT Southwestern Medical Center
Abstract Preview: Purpose: Proton MRSI offers critical metabolic insights into diseased brain processes but is prone to artifacts, and current post-processing methods are often insufficient, resulting in low-quality da...
Authors: Min Cheol Han, Chae-Seon Hong, Changhwan Kim, Dong Wook Kim, Hojin Kim, Jin Sung Kim, HO Lee, Sac Lee, Yongdo Yun
Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine
Abstract Preview: Purpose: Carbon ion radiotherapy (CIRT) offers the advantage of a greater relative biological effectiveness (RBE) weighted dose, which must be integrated into the treatment planning system (TPS). This...
Authors: Guha Balakrishnan, Osama R. Mawlawi, Yiran Sun, Ashok Veeraraghavan
Affiliation: RICE University, UT MD Anderson Cancer Center
Abstract Preview: Purpose:
Previous deep learning (DL) techniques such as X2CT-GAN [1] has shown great promise in reconstructing realistic CT volume from biplanar X-rays, however they introduce numerous artifacts in...
Authors: Marc L. Kessler
Affiliation: The University of Michigan
Abstract Preview: N/A...