A motion adaptable needle placement instrument based on tumor specific ultrasonic image segmentation

Jae Sung Hong, Takeyoshi Dohi, Makoto Hasizume, Kozo Konishi, Nobuhiko Hata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

This paper suggests an ultrasound guided needle insertion instrument which can track target motion in real-time. Under traditional ultrasound guided needle insertion therapies, surgeons have had much burden to find out the precise targeting position, particularly when the organ is moving due to the respiration or heartbeat. We developed a new needle insertion instrument which can track moving target based on visual servo control. In addition, this paper proposed a tumor specific active contour model which can conduct a fast and robust segmentation for tumor, and utilized Hough transform for needle recognition. In the experiment, the proposed system could track a moving phantom successfully at speed of 3 frames/sec processing.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
EditorsRon Kikinis, Takeyoshi Dohi
PublisherSpringer Verlag
Pages122-129
Number of pages8
ISBN (Print)9783540457862
Publication statusPublished - Jan 1 2002
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2488
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
CountryJapan
CityTokyo
Period9/25/029/28/02

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hong, J. S., Dohi, T., Hasizume, M., Konishi, K., & Hata, N. (2002). A motion adaptable needle placement instrument based on tumor specific ultrasonic image segmentation. In R. Kikinis, & T. Dohi (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings (pp. 122-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2488). Springer Verlag.