Sensing Technologies for Guidance During Needle-Based Interventions

Needle intervention is widely employed in clinical practices, such as biopsies, regional anesthesia, blood sampling, neurosurgery, and brachytherapy. Traditional needle insertion relies on surgeon expertise and kinesthetic feedback, yet accurately targeting deep tissue structures remains challenging...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2024, Vol.73, p.1-15
Main Authors: Cheng, Zhuoqi, Koskinopoulou, Maria, Bano, Sophia, Stoyanov, Danail, Rajeeth Savarimuthu, Thiusius, Mattos, Leonardo S.
Format: Article
Language:English
Subjects:
Accuracy
Anesthesia
Biomedical sensor
Cost effectiveness
image-guided insertion
Insertion
Machine learning
needle tip tracking
Needles
Optical fibers
Optical imaging
Position measurement
Position sensing
proximity sensing
puncture detection
Radiation therapy
Real-time systems
Regional development
Robot sensing systems
Sensors
Technology assessment
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Description
Summary:Needle intervention is widely employed in clinical practices, such as biopsies, regional anesthesia, blood sampling, neurosurgery, and brachytherapy. Traditional needle insertion relies on surgeon expertise and kinesthetic feedback, yet accurately targeting deep tissue structures remains challenging. To address this, significant research has advanced sensing technologies to aid insertion accuracy. This article comprehensively reviews recent developments in needle insertion sensing techniques, encompassing needle tip position tracking, proximity measurement, and puncture detection. It evaluates these methods across metrics, including accuracy, cost-effectiveness, portability, compatibility, noise resistance capability, technology readiness level (TRL), and future trends. Emerging research directions highlight advancements in machine learning integration, miniaturization, and enhanced multimodal sensing capabilities to improve procedural outcomes and expand application domains.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2024.3441017