Infrared camera imaging algorithm to augment CT-assisted biopsy procedures

Paper

Leis, John and Sharifi, Behrooz. 2012. "Infrared camera imaging algorithm to augment CT-assisted biopsy procedures." Wysocki, Beata J. and Wysocki, Tadeusz A. (ed.) 2012 6th International Conference on Signal Processing and Communication Systems (ICSPCS 2012). Gold Coast, Australia 12 - 14 Dec 2012 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSPCS.2012.6507977
Paper/Presentation Title

Infrared camera imaging algorithm to augment CT-assisted biopsy procedures

Presentation TypePaper
AuthorsLeis, John (Author) and Sharifi, Behrooz (Author)
EditorsWysocki, Beata J. and Wysocki, Tadeusz A.
Journal or Proceedings TitleProceedings of the 6th International Conference On Signal Processing and Communication Systems (ICSPCS 2012)
Number of Pages6
Year2012
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISBN9781467323932
Digital Object Identifier (DOI)https://doi.org/10.1109/ICSPCS.2012.6507977
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/6507977
Conference/Event2012 6th International Conference on Signal Processing and Communication Systems (ICSPCS 2012)
Event Details
Rank
C
C
C
C
C
C
C
C
C
Event Details
2012 6th International Conference on Signal Processing and Communication Systems (ICSPCS 2012)
Parent
International Conference on Signal Processing and Communication Systems
Delivery
In person
Event Date
12 to end of 14 Dec 2012
Event Location
Gold Coast, Australia
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.

Keywordssignal processing; CT imaging
ANZSRC Field of Research 2020320222. Radiology and organ imaging
400999. Electronics, sensors and digital hardware not elsewhere classified
400305. Biomedical instrumentation
Public Notes

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Byline AffiliationsDepartment of Electrical, Electronic and Computer Engineering
Department of Health, Queensland
Institution of OriginUniversity of Southern Queensland
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