Human abdomen recognition using camera and force sensor in medical robot system for automatic ultrasound scan

Ammar Safwan Bin Mustafa, Takashi Ishii, Yoshiki Matsunaga, Ryu Nakadate, Hiroyuki Ishii, Kouji Ogawa, Akiko Saito, Motoaki Sugawara, Kiyomi Niki, Atsuo Takanishi

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Physicians use ultrasound scans to obtain real-time images of internal organs, because such scans are safe and inexpensive. However, people in remote areas face difficulties to be scanned due to aging society and physician's shortage. Hence, it is important to develop an autonomous robotic system to perform remote ultrasound scans. Previously, we developed a robotic system for automatic ultrasound scan focusing on human's liver. In order to make it a completely autonomous system, we present in this paper a way to autonomously localize the epigastric region as the starting position for the automatic ultrasound scan. An image processing algorithm marks the umbilicus and mammary papillae on a digital photograph of the patient's abdomen. Then, we made estimation for the location of the epigastric region using the distances between these landmarks. A supporting algorithm distinguishes rib position from epigastrium using the relationship between force and displacement. We implemented these algorithms with the automatic scanning system into an apparatus: a Mitsubishi Electric's MELFA RV-1 six axis manipulator. Tests on 14 healthy male subjects showed the apparatus located the epigastric region with a success rate of 94%. The results suggest that image recognition was effective in localizing a human body part.

本文言語English
ホスト出版物のタイトル2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
ページ4855-4858
ページ数4
DOI
出版ステータスPublished - 2013 10 31
イベント2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
継続期間: 2013 7 32013 7 7

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
CountryJapan
CityOsaka
Period13/7/313/7/7

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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