본문 바로가기
  • Home

Extraction of Lumbar Multifidus Muscle using Ultrasound Imaging

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(2), pp.55-60
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kwang Baek Kim ORD ID 1 신상호 2

1신라대학교
2(주)토탈소프트뱅크

Accredited

ABSTRACT

In this paper, we propose a new method for extracting muscles from lumbar images. The proposed method sets areas without distortions with field expert's assistance as areas of measuring interest and removing noises from initial ultrasonic videos. Then, the method emphasizes the brightness contrast with Ends-in search stretching algorithm and separate thoracic vertebra from subcutaneous fat area using morphological characteristics. 4-directions contour tracing algorithm is applied to extract the bottom of subcutaneous fat area. Extracting thoracic vertebra area requires noise removal and morphological characteristics as well among candidate areas obtained by controlling min-max brightness. The thickness of muscles is then defined as the length between subcutaneous fat area and extracted thoracic vertebra. The experiment which consists of 368 image analysis verifies that the proposed method is more effective in measuring the thickness of muscles than before.

Citation status

* References for papers published after 2023 are currently being built.