Automatic Needle Route Proposal in Preoperative Neck CT for Injection Laryngoplasty
Source abstract
Abstract
Transcutaneous injection laryngoplasty (TIL) is a commonly used method to treat vocal fold paresis, where the affected vocal folds are augmented through injection. Determining the injection site and route is a major step during the preprocedural planning of TIL. In this communication, we propose and investigate an automatic method for needle route computation in preoperative neck CT. Recently, deep reinforcement learning (RL) agents showed noteworthy results for localizing the vocal folds. In this work, we focus on finding the optimal needle trajectory from the neck skin to the vocal folds localized by such RL agents. Identifying critical structures and constraints in the medical routine, we propose a minimal cost-based search to find the optimal path. Furthermore, we evaluate the proposed method with neck CT volumes from 136 patients, where it is shown that our computed needle paths have high accuracy.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Voice and Speech Disorders · Speech Recognition and Synthesis · Speech and Audio Processing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Division of Computer Engineering, Hankuk University of Foreign Studies, 81 Oedae-ro, Yongin 17035, Republic of Korea
Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam 07061, Republic of Korea
Funding
Hankuk University of Foreign Studies (HUFS) Basic Research Fund, South Korea · Bio & Medical Technology Development Program of the National Research Foundation (NRF) · Basic Science Research Program through the National Research Foundation of Korea (NRF)
References (19)
Show source-provided references
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