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  4. Optical coherence elastography needle for biomechanical characterization of deep tissue
 
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Optical coherence elastography needle for biomechanical characterization of deep tissue

Publikationstyp
Conference Paper
Date Issued
2023
Sprache
English
Author(s)
Mieling, Robin  
Medizintechnische und Intelligente Systeme E-1  
Latus, Sarah  orcid-logo
Medizintechnische und Intelligente Systeme E-1  
Fischer, Martin  
Medizintechnische und Intelligente Systeme E-1  
Behrendt, Finn  
Medizintechnische und Intelligente Systeme E-1  
Schlaefer, Alexander  
Medizintechnische und Intelligente Systeme E-1  
TORE-URI
https://hdl.handle.net/11420/44064
First published in
Lecture notes in computer science  
Number in series
14228
Volume
14228 LNCS
Start Page
607
End Page
617
Citation
25th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022)
Contribution to Conference
25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022  
Publisher DOI
10.1007/978-3-031-43996-4_58
Scopus ID
2-s2.0-85174733672
Publisher
Springer International Publishing AG
ISBN
978-3-031-43995-7
Compression-based optical coherence elastography (OCE) enables characterization of soft tissue by estimating elastic properties. However, previous probe designs have been limited to surface applications. We propose a bevel tip OCE needle probe for percutaneous insertions, where biomechanical characterization of deep tissue could enable precise needle placement, e.g., in prostate biopsy. We consider a dual-fiber OCE needle probe that provides estimates of local strain and load at the tip. Using a novel setup, we simulate deep tissue indentations where frictional forces and bulk sample displacement can affect biomechanical characterization. Performing surface and deep tissue indentation experiments, we compare our approach with external force and needle position measurements at the needle shaft. We consider two tissue mimicking materials simulating healthy and cancerous tissue and demonstrate that our probe can be inserted into deep tissue layers. Compared to surface indentations, external force-position measurements are strongly affected by frictional forces and bulk displacement and show a relative error of 49.2% and 42.4% for soft and stiff phantoms, respectively. In contrast, quantitative OCE measurements show a reduced relative error of 26.4% and 4.9% for deep indentations of soft and stiff phantoms, respectively. Finally, we demonstrate that the OCE measurements can be used to effectively discriminate the tissue mimicking phantoms.
Subjects
Optical Coherence Tomography
Prostate Biopsy
Tissue Elasticity
DDC Class
004: Computer Sciences
610: Medicine, Health
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