Document Detail

Virtual liver resection: computer-assisted operation planning using a three-dimensional liver representation.
MedLine Citation:
PMID:  23135735     Owner:  NLM     Status:  Publisher    
In liver surgery, understanding the complicated liver structures and a detailed evaluation of the functional liver remnant volume are essential to perform safe surgical procedures. Recent advances in imaging technology have enabled operation planning using three-dimensional (3D) image-processing software. Virtual liver resection systems provide (1) 3D imaging of liver structures, (2) detailed volumetric analyses based on portal perfusion, and (3) quantitative estimates of the venous drainage area, enabling the investigation of uncharted fields that cannot be examined using a conventional two-dimensional modality. The next step in computer-assisted liver surgery is the application of a virtual hepatectomy to real-time operations. However, the need for a precise alignment between the preoperative imaging data and the intraoperative situation remains to be adequately addressed, since the liver is subject to deformation and respiratory movements during the surgical procedures. We expect that the practical application of a navigation system for transferring the preoperative planning to real-time operations could make liver surgery safer and more standardized in the near future.
Yoshihiro Mise; Keigo Tani; Taku Aoki; Yoshihiro Sakamoto; Kiyoshi Hasegawa; Yasuhiko Sugawara; Norihiro Kokudo
Related Documents :
22222365 - Effect of decentration on the optical performance in multifocal intraocular lenses.
22125265 - Enhanced nanoscale imaging of polymer blends by temperature-controlled selective dissol...
21753235 - A photo-multiplier tube-based hybrid mri and frequency domain fluorescence tomography s...
21606585 - A 2d multiresolution image reconstruction method in x-ray computed tomography.
2579935 - Automatic determination of labeling density in protein a-gold immunocytochemical prepar...
18218375 - Optimization neural networks for the segmentation of magnetic resonance images.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-9
Journal Detail:
Title:  Journal of hepato-biliary-pancreatic sciences     Volume:  -     ISSN:  1868-6982     ISO Abbreviation:  J Hepatobiliary Pancreat Sci     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101528587     Medline TA:  J Hepatobiliary Pancreat Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Efficient solvent system containing malonamides in room temperature ionic liquids: actinide extracti...
Next Document:  Intraspecies differences in cold hardiness, carbohydrate content and ?-amylase gene expression of Va...