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access icon free Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention

  • Author(s): Prasong Pusit 1, 2 ; Xiao-Liang Xie 2 ; Zeng-Guang Hou 1, 2, 3
    • View affiliations
  • Source: Volume 13, Issue 13, 14 November 2019, p. 2579 – 2586
    DOI:  10.1049/iet-ipr.2018.6652 , Print ISSN 1751-9659, Online ISSN 1751-9667
© The Institution of Engineering and Technology
Received 18/12/2018, Accepted 27/08/2019, Revised 16/07/2019, Published 04/09/2019

Intervention surgery strongly requires information on the guide-wire position under the monitoring of X-ray video. Hence, the related researches such as guide-wire detecting or tracking have become widespread. However, most of the existing methods require a lot of resources for computing or large data for training since the X-ray videos have internal physicals such as anatomical skeleton contours and organs that are quite similar to a guide-wire. This work presents a practical method that only requires a moderate number of training data for detecting a guide-wire tip in an X-ray video sequence during the percutaneous coronary intervention surgery. The method applies maximally stable extremal regions (MSER) combine with modified multi-filters (region area range filter and stroke width variation filter) for region detection and local binary patterns (LBP) for guide-wire recognition. The motivation for applying MSER and LBP are the robust efficacy and the low requirement of resources. The approach evaluated 20 different sequences of X-ray videos, a total of 1295 frames. 50 selected frames were used as training templates and others to experiment. The method was successfully performed to the detecting guide-wires with p-value < 0.01 compared with conventional MSER methods, 93.7% average detection accuracy, and 21 fps average speed.

Inspec keywords: image sequences; video signal processing; object detection; blood vessels; X-ray imaging; surgery; image filtering; medical image processing; object tracking

Other keywords: stroke width variation filter; X-ray video monitoring; guide-wire recognition; maximally stable extremal regions; training data; region detection; local binary patterns; training templates; guide-wire position; percutaneous coronary intervention surgery; conventional MSER methods; modified multifilters; X-ray video sequence; region area range filter; guide-wire tip detection; anatomical skeleton contours

Subjects: Video signal processing; Filtering methods in signal processing; X-rays and particle beams (medical uses); Computer vision and image processing techniques; X-ray techniques: radiography and computed tomography (biomedical imaging/measurement); Optical, image and video signal processing; Patient diagnostic methods and instrumentation; Biology and medical computing

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