SATO: Straighten Any 3D Tubular Object

3D tubular objects have complex spatial shapes. Direct volume visualization cannot intuitively display their morphological characteristics and surface abnormalities. Straightening reformation is an effective visualization method for tubular objects. It uses a swept frame to sample cross sections along the centerline of the tubular object to generate straightening result. So far, however, current methods cannot visualize the full 3D view and fail to interface with downstream morphological analysis. Furthermore, current swept frames impose strict restrictions on the shape of tubular objects and are computationally expensive. In this study, we propose a novel swept frame based on vector rotation and construct an automatic straightening reformation pipeline. Our method is applicable to various tubular objects and can be efficiently executed recursively while ensuring that the straightening results have no rotation bias. Extensive experiments on eight different tubular objects and quantitative evaluation on various downstream applications demonstrate the effectiveness and universality of our straightening pipeline. Code is available at https://github.com/Yanfeng-Zhou/SATO.

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Publication Details

Journal
IEEE Transactions on Medical Imaging
Published
2025-05-20
DOI
https://doi.org/10.1109/tmi.2025.3571896
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

SATO: Straighten Any 3D Tubular Object

Ge Yang, Yanfeng Zhou, Jiaheng Zhou, Zichen Wang
IEEE Transactions on Medical Imaging
Manufacturing Process and Optimization
article

SATO: Straighten Any 3D Tubular Object

Ge Yang, Yanfeng Zhou, Jiaheng Zhou, Zichen Wang
article en

Abstract

3D tubular objects have complex spatial shapes. Direct volume visualization cannot intuitively display their morphological characteristics and surface abnormalities. Straightening reformation is an effective visualization method for tubular objects. It uses a swept frame to sample cross sections along the centerline of the tubular object to generate straightening result. So far, however, current methods cannot visualize the full 3D view and fail to interface with downstream morphological analysis. Furthermore, current swept frames impose strict restrictions on the shape of tubular objects and are computationally expensive. In this study, we propose a novel swept frame based on vector rotation and construct an automatic straightening reformation pipeline. Our method is applicable to various tubular objects and can be efficiently executed recursively while ensuring that the straightening results have no rotation bias. Extensive experiments on eight different tubular objects and quantitative evaluation on various downstream applications demonstrate the effectiveness and universality of our straightening pipeline. Code is available at https://github.com/Yanfeng-Zhou/SATO.

IEEE Transactions on Medical ImagingVol. 44(9)
Shenzhen University (CN), Beijing Academy of Artificial Intelligence (CN), Shenzhen Technology University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 85%
Manufacturing Process and Optimization
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SATO: Straighten Any 3D Tubular Object — Ge Yang, Yanfeng Zhou, et al. · IEEE Transactions on Medical Imaging (2025) | TGRS Research Map | TGRS