Analysis of adductors angle measurement in Hammersmith infant neurological examinations using mean shift segmentation and feature point based object tracking

  • Authors:

  • D. P. Dogra;A. K. Majumdar;S. Sural;J. Mukherjee;S. Mukherjee;A. Singh

  • Affiliations:

  • Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur 721302, India;Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur 721302, India;School of Information Technology, Indian Institute of Technology, Kharagpur 721302, India;Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur 721302, India;Institute of Post Graduate Medical Education and Research, SSKM Hospital, Kolkata 700020, India;Institute of Post Graduate Medical Education and Research, SSKM Hospital, Kolkata 700020, India

  • Venue:
  • Computers in Biology and Medicine
  • Year:
  • 2012

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Abstract

This paper presents image and video analysis based schemes to automate the process of adductors angle measurement which is carried out on infants as a part of Hammersmith Infant Neurological Examination (HINE). Image segmentation, thinning and feature point based object tracking are used for automating the analysis. Segmentation outputs are processed with a novel region merging algorithm. It is found that the refined segmentation outputs can successfully be used to extract features in the context of the application under consideration. Next, a heuristic based filtering algorithm is applied on the thinned structures for locating necessary points to measure adductors angle. A semi-automatic scheme based on the object tracking of a video has been proposed to minimize errors of the image based analysis. It is observed that the video-based analysis outperforms the image-based method. A fully automatic method has also been proposed and compared with the semi-automatic algorithm. The proposed methods have been tested with several videos recorded from hospitals and the results have been found to be satisfactory in the present context.