C-arm Guidance: A Self-supervised Approach To Automated Positioning During Stroke Thrombectomy

Ahmad Arrabi, Jay hwasung Jung, J Le, A Nguyen, J Reed +4 more
10/17/2025
cs.CV

Official code: AhmadArrabi/C_arm_guidance_APAH (2 stars, MIT, last commit 2026-01-23). 1 more implementation below.

Abstract

Thrombectomy is one of the most effective treatments for ischemic stroke, but it is resource and personnel-intensive. We propose employing deep learning to automate critical aspects of thrombectomy, thereby enhancing efficiency and safety. In this work, we introduce a self-supervised framework that classifies various skeletal landmarks using a regression-based pretext task. Our experiments demonstrate that our model outperforms existing methods in both regression and classification tasks. Notably, our results indicate that the positional pretext task significantly enhances downstream classification performance. Future work will focus on extending this framework toward fully autonomous C-arm control, aiming to optimize trajectories from the pelvis to the head during stroke thrombectomy procedures. All code used is available at https://github.com/AhmadArrabi/C_arm_guidance

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Code Implementations(2)

AhmadArrabi/C_arm_guidance_APAHOfficial100%
MIT

Official implementation of the paper "Automated C-Arm Positioning via Conformal Landmark Localization" (ICCVW APAH 2025)

21PythonOct 7, 20259 months agoMIT
c-armconformal-predictionfluoroscopyiccvwthrombectomy
AhmadArrabi/C_arm_guidanceOfficial100%
MIT

Official implementation of the paper "C-Arm Guidance: a Self-Supervised Approach to Automated Positioning During Stroke Thrombectomy" (ISBI 2025)

10Shell, PythonJan 3, 20259 months agoMIT
c-armclassificationisbiself-supervised-learningstroke+1 more

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Cite this paper

@article{arrabi2025carm,
  title  = {C-arm Guidance: A Self-supervised Approach To Automated Positioning During Stroke Thrombectomy},
  author = {Ahmad Arrabi and Jay hwasung Jung and J Le and A Nguyen and J Reed and E Stahl and Nathan Franssen and Scott Raymond and Safwan Wshah},
  year   = {2025},
  eprint = {2510.16145},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.16145v1}
}

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