TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction

TomoGRAF provides the first generalizable solution for image-guided radiotherapy and interventional radiology applications, where only one/a few X-ray views are available, but 3D volumetric information is desired.

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Publication Details

Journal
PLoS ONE
Published
2025-08-22
DOI
https://doi.org/10.1371/journal.pone.0330463
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction

Dan Ruan, Ke Sheng, Martina Descovich, Qihui Lyu et al.
PLoS ONE
Medical Imaging Techniques and Applications
article

TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction

Dan Ruan, Ke Sheng, Martina Descovich, Qihui Lyu, Hengjie Liu, Yang Yang, Di Xu
article en

Abstract

TomoGRAF provides the first generalizable solution for image-guided radiotherapy and interventional radiology applications, where only one/a few X-ray views are available, but 3D volumetric information is desired.

PLoS ONEVol. 20(8)
University of California, Los Angeles (US), University of California, San Francisco (US)
National Institutes of Health
Openalex Percentile: Top 69%
Medical Imaging Techniques and Applications
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