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BCIRT: Backscattering-Corrected Implicit Representation Tomography

delete2026-02-19
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PRE
AI
C
Chuanhao Zhang
Y
Yangxi Li
J
Jianping Song
Y
Yingwei Fan
宁
宁国琛 (Guochen Ning)
Y
Yu Shen
C
Canhong Xiang
陈芳 cover
陈芳 (Fang Chen)
廖洪恩 cover
廖洪恩 (Hongen Liao)
DOI:10.1016/j.media.2026.104000delete
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Abstract

Abstract

En 中文
• We propose a backscattering-corrected implicit representation tomography framework for sparse multi-angle signal reconstruction. • Our method maintains the internal ultra-fine structures and reinforces the generation of high-frequency textures during reconstruction. • Our method can be flexibly deployed in surgical scenarios, with extensive quantitative and qualitative comparisons demonstrating its versatility and effectiveness.
Keywords:
BCIRT
backscattering correction
implicit representation
tomography
sparse reconstruction

Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.9K
Citations:
2.4W

Organization

S
shanghai jiao tong university
Scholars:
15.7W
Papers: 11.7W
Citations: 159
T
Tsinghua University
Scholars:
8.6K
Papers: 4.1K
Citations: 17.7W
B
Beijing Institute of Technology
Scholars:
5.2K
Papers: 2.1K
Citations: 6.0W
S
Shandong University
Scholars:
7.1K
Papers: 2.5K
Citations: 8.4W
K
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