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2009

Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach

10 years 3 months ago
Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach
Segmentation in ultrasound data is a very challenging field of research in medical image processing. This article presents a method for automatic segmentation of biopsy needles and straight objects in noisy 3D image data. It uses a Hough-based segmentation approach, which has been exemplary adapted for the application on prostate biopsy data. An evaluation was performed on in-vivo 3D US data and shows promising results. Angular segmentation accuracy was evaluated with a mean of 2.1 degrees, which is comparable to human observers.
Philipp Hartmann, Matthias Baumhauer, Jens Rasswei
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2009
Where BILDMED
Authors Philipp Hartmann, Matthias Baumhauer, Jens Rassweiler, Hans-Peter Meinzer
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