ArticleIEEE sensors journal2025
Evaluation of Fiber Optic Shape Sensing Models for Minimally Invasive Prostate Needle Procedures Using OFDR Data.
Article in IEEE sensors journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A Framework to Optimize Channel and Active Area Usage in Multicore Fibers for Needle Shape Sensing.Journal of medical robotics research · 2026Article
- High-Resolution OFDR with All Grating Fiber Combining Phase Demodulation and Cross-Correlation Methods.Sensors (Basel, Switzerland) · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
This paper presents a systematic evaluation of fiber optic shape sensing models for prostate needle interventions using a single needle embedded with a three-fiber optical frequency domain reflectometry (OFDR) sensor. Two reconstruction algorithms were evaluated: (1) Linear Interpolation Models (LIM), a geometric method that directly estimates local curvature and orientation from distributed strain measurements, and (2) the Lie-Group Theoretic Model (LGTM), a physics-informed elastic-rod model that globally fits curvature profiles while accounting for tissue-needle interaction. Using software-defined strain-point selection, both sparse and quasi-distributed sensing configurations were emulated from the same OFDR data. Experiments were conducted in homogeneous and two-layer gel phantoms,
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Registered trials
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