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Surface registration for use in interactive, image-guided liver surgery

  • Alan J. Herline
    ,
  • Jeannette L. Herring
    ,
  • James D. Stefansic
    ,
  • William C. Chapman
    ,
  • Robert L. Galloway(corresponding author)
    ,
  • Benoit M. Dawant
*Corresponding author for this work
  • Vanderbilt University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Objective: Liver surgery is difficult because of limited external landmarks, significant vascularity, and inexact definition of intra-hepatic anatomy. Intra-operative ultrasound (IOUS) has been widely used in an attempt to overcome these difficulties, but is limited by its two-dimensional nature, inter-user variability, and image obliteration with ablative or resectional techniques. Because the anatomy of the liver and intra-operative removal of hepatic ligaments make intrinsic or extrinsic point-based registration impractical, we have implemented a surface registration technique to map physical space into CT image space, and have tested the accuracy of this method on an anatomical liver phantom with embedded tumor targets. Materials and Methods: Liver phantoms were created from anatomically correct molds with 'tumors' embedded within the substance of the liver. Helical CT scans were performed with 3-mm slices. Using an optically active position sensor, the surface of the liver was digitized according to anatomical segments. A surface registration was performed and RMS errors of the locations of internal tumors are presented as verification. An initial point-based marker registration was performed and considered the 'gold standard' for error measurement. Results: Errors for surface registration were 2.9 mm for the entire surface and 2.8 mm for embedded targets. Conclusion: This is an initial study considering the use of surface registration for the purpose of physical-to-image registration in the area of liver surgery. (C)2000 Wiley- Liss, Inc.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 11-17 (7 pages)

Journal (Volume, Issue Number)

Computer Aided Surgery (Volume 5, Issue 1)

Publication milestones

  • Published - 2000

Publication status

Published - 2000

ISSN

1092-9088

Publication IDs

  • Scopus: 0033999421
  • PubMed: 10767091

Publication metrics

Metrics

SciVal
FWCI
3.46
SciVal
Author count
6
SciVal
citations
68
SciVal
Paper percentile
89
Scopus
citations
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Captures
31
Citation count
71

Funding Details

The authors wish to acknowledge support from the NSF, BES-9703714, and the NIH, NRSA #1 F32 DK 09671-02 SB. They wish to thank Cindy Duncan, CRT, and Tina Herron, CRT, for their invaluable assistance with imaging.
FundersFunding numbers
NSF
BES-9703714
NIH
-
NIDDK
F32DK009671
NRSA
1 F32 DK 09671-02