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Recovery of Liver Motion and Deformation Due to Respiration Using Laparoscopic Freehand 3D Ultrasound System

  • Masahiko Nakamoto
  • Hiroaki Hirayama
  • Yoshinobu Sato
  • Kozo Konishi
  • Yoshihiro Kakeji
  • Makoto Hashizume
  • Shinichi Tamura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

This paper describes a rapid method for intraoperative recovery of liver motion and deformation due to respiration by using a laparoscopic freehand 3D ultrasound (US) system. Using the proposed method, 3D US images of the liver can be extended to 4D US images by acquiring additional several sequences of 2D US images during a couple of respiration cycles. Time-varying 2D US images are acquired on several sagittal image planes and their 3D positions and orientations are measured using a laparoscopic ultrasound probe to which a miniature magnetic 3D position sensor is attached. During the acquisition, the probe is assumed to move together with the liver surface. In-plane 2D deformation fields and respiratory phase are estimated from the time-varying 2D US images, and then the time-varying 3D deformation fields on the sagittal image planes are obtained by combining 3D positions and orientations of the image planes. The time-varying 3D deformation field of the volume is obtained by interpolating the 3D deformation fields estimated on several planes. The proposed method was evaluated by in vivo experiments using a pig liver.

Keywords

Respiratory Cycle Liver Surface Normalize Cross Correlation Deformation Vector Laparoscopic Liver Surgery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Masahiko Nakamoto
    • 1
  • Hiroaki Hirayama
    • 1
  • Yoshinobu Sato
    • 1
  • Kozo Konishi
    • 2
  • Yoshihiro Kakeji
    • 2
  • Makoto Hashizume
    • 2
  • Shinichi Tamura
    • 1
  1. 1.Division of Image Analysis, Graduate School of MedicineOsaka UniversityJapan
  2. 2.Graduate School of Medical SciencesKyushu UniversityJapan

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