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Proceedings Paper

Full automatic fiducial marker detection on coil arrays for accurate instrumentation placement during MRI guided breast interventions
Author(s): Konstantinos Filippatos; Tobias Boehler; Benjamin Geisler; Harald Zachmann; Thorsten Twellmann
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Paper Abstract

With its high sensitivity, dynamic contrast-enhanced MR imaging (DCE-MRI) of the breast is today one of the first-line tools for early detection and diagnosis of breast cancer, particularly in the dense breast of young women. However, many relevant findings are very small or occult on targeted ultrasound images or mammography, so that MRI guided biopsy is the only option for a precise histological work-up [1]. State-of-the-art software tools for computer-aided diagnosis of breast cancer in DCE-MRI data offer also means for image-based planning of biopsy interventions. One step in the MRI guided biopsy workflow is the alignment of the patient position with the preoperative MR images. In these images, the location and orientation of the coil localization unit can be inferred from a number of fiducial markers, which for this purpose have to be manually or semi-automatically detected by the user. In this study, we propose a method for precise, full-automatic localization of fiducial markers, on which basis a virtual localization unit can be subsequently placed in the image volume for the purpose of determining the parameters for needle navigation. The method is based on adaptive thresholding for separating breast tissue from background followed by rigid registration of marker templates. In an evaluation of 25 clinical cases comprising 4 different commercial coil array models and 3 different MR imaging protocols, the method yielded a sensitivity of 0.96 at a false positive rate of 0.44 markers per case. The mean distance deviation between detected fiducial centers and ground truth information that was appointed from a radiologist was 0.94mm.

Paper Details

Date Published: 23 February 2010
PDF: 8 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 762527 (23 February 2010); doi: 10.1117/12.844246
Show Author Affiliations
Konstantinos Filippatos, MeVis Medical Solutions AG (Germany)
Tobias Boehler, Fraunhofer MEVIS (Germany)
Benjamin Geisler, Fraunhofer MEVIS (Germany)
Harald Zachmann, MeVis Medical Solutions AG (Germany)
Thorsten Twellmann, MeVis Medical Solutions AG (Germany)

Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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