title: Analysis of adductors angle measurement in Hammersmith infant neurological examinations using mean shift segmentation and feature point based object tracking.
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.
authors: Department of Computer Science & Engineering, School of Information Technology, Indian Institute of Technology, Kharagpur 721302, India. debiprosadcom@yahoo.com
authors: D P
authors: DP
authors: Dogra
authors: A K
authors: AK
authors: Majumdar
authors: S
authors: S
authors: Sural
authors: J
authors: J
authors: Mukherjee
authors: S
authors: S
authors: Mukherjee
authors: A
authors: A
authors: Singh
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007223:Infant; D016018:Least-Squares Analysis; D007866:Leg / Q000033:anatomy & histology / Q000502:physiology; D009460:Neurologic Examination / Q000379:methods*; D014743:Videotape Recording / Q000379:methods*