Estimation of intraoperative lung deformation for computer assisted thoracoscopic surgery

M. Nakamoto, N. Aburaya, K. Konishi, Y. Sato, I. Yoshino, M. Hashizume, S. Tamura

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In the thoracoscopic surgery, predicting the cancer position based on intraoperative thoracoscopic images and preoperative CT images often becomes a difficult task because the lung collapse causes significantly large deformation of the lung Therefore, it is highly desirable to utilize image guidance techniques in order to predict and limit the extent of existence of the lung cancer. We propose a CT-based thoracoscopic surgical navigation system, involving the intraoperative correction of large deformation. In the proposed method, the thoracic cage and mediastinum are localized using rigid registration of the digitized chest skin surface points and preoperative CT skin model, and then the lung deformation is estimated using nonrigid registration of the digitized collapsed lung surface points and preoperative CT lung model. Animal and clinical experiments were performed to evaluate the prediction accuracy of the cancer position. The result showed that a surgeon could find a cancer from the neighborhood of the estimated position. Potential usefulness of the system for narrowing the extent of existence of the cancer was shown.

Original languageEnglish
Pages (from-to)273-275
Number of pages3
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume1
Issue numberSUPPL. 7
Publication statusPublished - Jun 2006

All Science Journal Classification (ASJC) codes

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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