30 March 2007 Semi-automated location identification of catheters in digital chest radiographs
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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.
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Brad M. Keller, Brad M. Keller, Anthony P. Reeves, Anthony P. Reeves, Matthew D. Cham, Matthew D. Cham, Claudia I. Henschke, Claudia I. Henschke, David F. Yankelevitz, David F. Yankelevitz, } "Semi-automated location identification of catheters in digital chest radiographs", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141O (30 March 2007); doi: 10.1117/12.707769; https://doi.org/10.1117/12.707769
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