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Proceedings Paper

Semi-automated location identification of catheters in digital chest radiographs
Author(s): Brad M. Keller; Anthony P. Reeves; Matthew D. Cham; Claudia I. Henschke; David F. Yankelevitz
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Paper Abstract

Localization of catheter tips is the most common task in intensive care unit imaging. In this work, catheters appearing in digital chest radiographs acquired by portable chest x-rays were tracked using a semi-automatic method. Due to the fact that catheters are synthetic objects, its profile does not vary drastically over its length. Therefore, we use forward looking registration with normalized cross-correlation in order to take advantage of a priori information of the catheter profile. The registration is accomplished with a two-dimensional template representative of the catheter to be tracked generated using two seed points given by the user. To validate catheter tracking with this method, we look at two metrics: accuracy and precision. The algorithms results are compared to a ground truth established by catheter midlines marked by expert radiologists. Using 12 objects of interest comprised of naso-gastric, endo-tracheal tubes, and chest tubes, and PICC and central venous catheters, we find that our algorithm can fully track 75% of the objects of interest, with a average tracking accuracy and precision of 85.0%, 93.6% respectively using the above metrics. Such a technique would be useful for physicians wishing to verify the positioning of catheter tips using chest radiographs.

Paper Details

Date Published: 30 March 2007
PDF: 9 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141O (30 March 2007); doi: 10.1117/12.707769
Show Author Affiliations
Brad M. Keller, Cornell Univ. (United States)
Anthony P. Reeves, Cornell Univ. (United States)
Matthew D. Cham, Weill Medical College of Cornell Univ. (United States)
Claudia I. Henschke, Weill Medical College of Cornell Univ. (United States)
David F. Yankelevitz, Weill Medical College of Cornell Univ. (United States)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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