Literature DB >> 10193891

Virtual planning of liver resections: image processing, visualization and volumetric evaluation.

G Glombitza1, W Lamadé, A M Demiris, M R Göpfert, A Mayer, M L Bahner, H P Meinzer, G Richter, T Lehnert, C Herfarth.   

Abstract

Operability of a liver tumor depends on its three dimensional relation to the intrahepatic vascular trees as well as the volume ratio of healthy to tumorous tissue. Precise operation planning is complicated by anatomic variability and distortion of the vascular trees by the tumor or preceding liver resections. We have developed a computer based 3D virtual operation planning system which is ready to go in routine use. The main task of a system in this domain is a quantifiable patient selection by exact prediction of post-operative liver function. It provides the means to measure absolute and relative volumes of the organ structures and resected parenchyma. Another important step in the pre-operative phase is to visualize the relation between the tumor, the liver and the vessel trees for each patient. The new 3D operation planning system offers quantifiable liver resection proposals based on individualized liver anatomy. The results are presented as 3D movies or as interactive visualizations as well as in quantitative reports.

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Mesh:

Year:  1999        PMID: 10193891     DOI: 10.1016/s1386-5056(98)00162-2

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  6 in total

1.  Evolution of sociality in a primitively eusocial lineage of bees.

Authors:  Bryan N Danforth
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-26       Impact factor: 11.205

2.  Borderless teleradiology with CHILI.

Authors:  U Engelmann; A Schroeter; M Schwab; U Eisenmann; M Vetter; K Lorenz; J Quiles; I Wolf; H Evers; H P Meinzer
Journal:  J Med Internet Res       Date:  1999 Oct-Dec       Impact factor: 5.428

3.  New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method.

Authors:  Katayoon Ahmadi; Abbas Karimi; Babak Fouladi Nia
Journal:  Comput Math Methods Med       Date:  2016-12-04       Impact factor: 2.238

4.  Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network.

Authors:  Xinjun Han; Xinru Wu; Dawei Yang; Zhenghan Yang; Shuhui Wang; Lixue Xu; Hui Xu; Dandan Zheng; Niange Yu; Yanjie Hong; Zhixuan Yu
Journal:  Insights Imaging       Date:  2022-02-24

5.  Segmentation of hepatic vessels from MRI images for planning of electroporation-based treatments in the liver.

Authors:  Marija Marcan; Denis Pavliha; Maja Marolt Music; Igor Fuckan; Ratko Magjarevic; Damijan Miklavcic
Journal:  Radiol Oncol       Date:  2014-07-10       Impact factor: 2.991

Review 6.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  6 in total

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