Intraoperative Absolute Depth Estimation in MVD Surgery

Microvascular decompression (MVD) is a neurosurgical procedure that relieves nerve compression by repositioning or separating offending blood vessels, effectively reducing pain or spasms. Accurate localization of the compression site is crucial for optimal surgical outcomes, as it enables precise identification and decompression of the offending vessel. While horizontal anatomical relationships are easily identified in the surgical view, compressions occurring along the depth axis are more challenging to discern. In this study, we propose a method to measure accurate intraoperative distances during MVD surgery using Depth-Anything-V2. By leveraging the optical properties of standard imaging equipment in conjunction with the depth estimation model, our method computes precise, absolute distances rather than relying solely on relative measurements, achieving distance estimation errors of less than 2 mm compared to intraoperative and preoperative reference measurements.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/cbms65348.2025.00076
Citations
1
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
2.01
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Intraoperative Absolute Depth Estimation in MVD Surgery

Jay J. Park, H.S. Lee, Seonga Cho, Vivek Buch et al.
1 citations
Coronary Interventions and Diagnostics
2.01
article

Intraoperative Absolute Depth Estimation in MVD Surgery

Jay J. Park, H.S. Lee, Seonga Cho, Vivek Buch, Bruce Changlong Xu, Sanghoon Lee, Jin Hee Lee, Ethan Htun
article en
1 citations

Abstract

Microvascular decompression (MVD) is a neurosurgical procedure that relieves nerve compression by repositioning or separating offending blood vessels, effectively reducing pain or spasms. Accurate localization of the compression site is crucial for optimal surgical outcomes, as it enables precise identification and decompression of the offending vessel. While horizontal anatomical relationships are easily identified in the surgical view, compressions occurring along the depth axis are more challenging to discern. In this study, we propose a method to measure accurate intraoperative distances during MVD surgery using Depth-Anything-V2. By leveraging the optical properties of standard imaging equipment in conjunction with the depth estimation model, our method computes precise, absolute distances rather than relying solely on relative measurements, achieving distance estimation errors of less than 2 mm compared to intraoperative and preoperative reference measurements.

BongSeng Memorial Hospital (KR), Stanford University (US)
Openalex Percentile: Top 14%
Coronary Interventions and Diagnostics
2.01
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