Infrared camera imaging algorithm to augment CT-assisted biopsy procedures

Leis, John and Sharifi, Behrooz (2012) Infrared camera imaging algorithm to augment CT-assisted biopsy procedures. In: 6th International Conference on Signal Processing and Communication Systems (ICSPCS 2012), 12-14 Dec 2012, Gold Coast, Australia .

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Abstract

The problem with CT guided biopsies is the high dosage of radiation exposure to the patient, the time it takes to perform the procedure and the lack of spatial reference of the operator. We approach this problem by using a system comprising of two digital infrared sensitive cameras and a
high intensity infrared illuminator which was used to capture the coordinates of an infrared reflective tape
attached to a coaxial biopsy needle having been inserted into a test phantom. Data was sent in real-time to a computer where the infrared needle position coordinates were recorded. A CT scan of the test phantom was then taken and the DICOM CT image coordinates of the needle were also recorded. The approach is to use a linear least-squares model to map points from each camera to a single point on each DICOM CT image resulting from the CT scan. Results show a promising mapping accuracy with limited data. The contribution of this paper is to show that a passive infrared imaging system using at least two cameras may be suitable for the needle estimation task in two dimensions which would allow real-time needle placement in any plane.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright © 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 06 May 2013 00:23
Last Modified: 17 Sep 2014 01:39
Uncontrolled Keywords: signal processing; CT imaging
Fields of Research : 11 Medical and Health Sciences > 1103 Clinical Sciences > 110320 Radiology and Organ Imaging
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation
Socio-Economic Objective: C Society > 92 Health > 9202 Health and Support Services > 920203 Diagnostic Methods
Identification Number or DOI: 10.1109/ICSPCS.2012.6507977
URI: http://eprints.usq.edu.au/id/eprint/21933

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