Transmission-Based Vertebrae Strength Probe Development: Far Field Probe Property Extraction and Integrated Machine Vision Distance Validation Experiments.

instrumentation machine vision microwave osteoporosis surgical navigation transmission vertebrae

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
17 May 2023
Historique:
received: 03 04 2023
revised: 05 05 2023
accepted: 15 05 2023
medline: 12 7 2023
pubmed: 11 7 2023
entrez: 11 7 2023
Statut: epublish

Résumé

We are developing a transmission-based probe for point-of-care assessment of vertebrae strength needed for fabricating the instrumentation used in supporting the spinal column during spinal fusion surgery. The device is based on a transmission probe whereby thin coaxial probes are inserted into the small canals through the pedicles and into the vertebrae, and a broad band signal is transmitted from one probe to the other across the bone tissue. Simultaneously, a machine vision scheme has been developed to measure the separation distance between the probe tips while they are inserted into the vertebrae. The latter technique includes a small camera mounted to the handle of one probe and associated fiducials printed on the other. Machine vision techniques make it possible to track the location of the fiducial-based probe tip and compare it to the fixed coordinate location of the camera-based probe tip. The combination of the two methods allows for straightforward calculation of tissue characteristics by exploiting the antenna far field approximation. Validation tests of the two concepts are presented as a precursor to clinical prototype development.

Identifiants

pubmed: 37430734
pii: s23104819
doi: 10.3390/s23104819
pmc: PMC10220895
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : R01 CA240760
Pays : United States

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Auteurs

Paul Meaney (P)

Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Electrical Engineering Department, Uppsala University, 751 05 Uppsala, Sweden.

Robin Augustine (R)

Electrical Engineering Department, Uppsala University, 751 05 Uppsala, Sweden.

Adrian Welteke (A)

Electrical Engineering Department, Helmut Schmidt University, 22043 Hamburg, Germany.

Bernd Pfrommer (B)

Independent Researcher, Hudson, FL 34667, USA.

Adam M Pearson (AM)

Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA.

Helena Brisby (H)

Orthopedic Department, Sahlgrenska Hospital, 413 45 Gothenburg, Sweden.

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Classifications MeSH