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Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

Luc Soler, Herve Delingette, Gregoire Malandain, Johan Montagnat, Nicholas Ayache, Christophe Koehl, Olivier Dourthe, Benoit Malassagne, Michelle Smith, Didier Mutter, Jacques Marescaux
2001 Journal of Computer-Aided Surgery  
Objective: To improve the planning of hepatic surgery, we have developed a fully automatic anatomical, pathological and functional segmentation of the liver derived from a spiral CT scan.  ...  Conclusion: This study describes the methodology used to create the automatic segmentation of the liver with delineation of important anatomical, pathological and functional structures from a routine CT  ...  In all other cases, the method offer a fully automatic 3D reconstruction tool for liver surgery, providing not only anatomical and pathological structures visible in the CT scan, but also invisible functional  ... 
doi:10.1002/igs.1016 pmid:11747131 fatcat:kn3khwgzxjbovfpaxxmbsnaaym

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

Luc Soler, Herve Delingette, Gregoire Malandain, Johan Montagnat, Nicholas Ayache, Jean-Marie Clement, Christophe Koehl, Olivier Dourthe, Didier Mutter, Jacques Marescaux, Kenneth M. Hanson
2000 Medical Imaging 2000: Image Processing  
Objective: To improve the planning of hepatic surgery, we have developed a fully automatic anatomical, pathological and functional segmentation of the liver derived from a spiral CT scan.  ...  Conclusion: This study describes the methodology used to create the automatic segmentation of the liver with delineation of important anatomical, pathological and functional structures from a routine CT  ...  In all other cases, the method offer a fully automatic 3D reconstruction tool for liver surgery, providing not only anatomical and pathological structures visible in the CT scan, but also invisible functional  ... 
doi:10.1117/12.387686 dblp:conf/miip/SolerDMMACKDMM00 fatcat:fmrq643yl5cnlmmcw4bwncqupq

An automatic virtual patient reconstruction from CT-scans for hepatic surgical planning

L Soler, H Delingette, G Malandain, N Ayache, C Koehl, J M Clément, O Dourthe, J Marescaux
2000 Studies in Health Technology and Informatics  
PROBLEM/BACKGROUND: In order to help hepatic surgical planning we perfected automatic 3D reconstruction of patients from conventional CT-scan, and interactive visualization and virtual resection tools.  ...  We thus offer the first fully automatic 3D reconstruction tools for liver surgery, providing not only anatomical and pathological structures visible in the CT-scan, but also invisible functional information  ...  One of the goals of computerized medical imaging analysis for hepatic surgery planning is to automatically delineate liver, lesions, vessels and anatomical segments from medical imaging.  ... 
pmid:10977563 fatcat:renhtnntfzguzbeibl2n4qaxia

Development of a Patient-Specific 3D-Printed Liver Model for Preoperative Planning

Marta J. Madurska, Matthieu Poyade, David Eason, Paul Rea, Angus J. M. Watson
2017 Surgical Innovation  
variety of pathologies varying from primary hepatic and metastatic cancer 1 to congenital diseases.  ...  Liver volumetry utilises CT scan data to assess the volume of the remnant liver segment(s) and to estimate each patient's liver regeneration potential and has been used for some years to predict the remnant  ...  Segmentation allowed for surface extraction of all the structures of interest from the CT and MRI scan data.  ... 
doi:10.1177/1553350616689414 pmid:28134003 fatcat:c4rnk5ca2behlmmul7dlmsfwle

The use of virtual reality for the functional simulation of hepatic tumors (case control study)

Gang Chen, Xue-cheng Li, Guo-qing Wu, Yi Wang, Bin Fang, Xiao-feng Xiong, Ri-gao Yang, Li-wen Tan, Shao-xiang Zhang, Jia-hong Dong
2010 International Journal of Surgery  
Objective: To develop a technique for converting computed tomography (CT) data into a fully threedimensional (3D) virtual reality (VR) environment.  ...  Methods: 3D-reconstruction of the liver was restored from spiral CT data by using LiVirtue software and the DextrobeamÔ (Volume Interactions Pte Ltd, Singapore) was applied to view this 3D model in the  ...  In order to develop a new tool for hepatic surgical planning, which allows better hepatic resections through automatic delineation and visualization of anatomical and pathological structures based on an  ... 
doi:10.1016/j.ijsu.2009.11.005 pmid:19944191 fatcat:ynyb5e4g3rdlxaw47h4qp55e3m

Hybrid Additive Fabrication of a Transparent Liver with Biosimilar Haptic Response for Preoperative Planning

Paolo Aseni, Tommaso Santaniello, Francesco Rizzetto, Lorenzo Gentili, Federico Pezzotta, Francesco Cavaliere, Maurizio Vertemati, Paolo Milani
2021 Diagnostics  
It offered high-quality haptic perception and a remarkable degree of surgical and anatomical information.  ...  The virtual models were used as the source data for a hybrid fabrication process based on additive manufacturing using soft resins and casting of tissue-mimicking silicone-based blend into 3D moulds.  ...  The fabricated haptic model was based on a virtual model obtained from routine CT and MRI images in which the anatomical structures were appropriately segmented, i.e., labelled to distinguish them from  ... 
doi:10.3390/diagnostics11091734 pmid:34574075 fatcat:7oxju46nf5enfjkbenxsanwey4

Comparison of pre/post-operative CT image volumes to preoperative digitization of partial hepatectomies: a feasibility study in surgical validation

Prashanth Dumpuri, Logan W. Clements, Rui Li, Jonathan M. Waite, James D. Stefansic, David A. Geller, Michael I. Miga, Benoit M. Dawant, Michael I. Miga, Kenneth H. Wong
2009 Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling  
Preoperative computed tomography (CT) images acquired before surgery were used to identify tumor margins and to plan the surgical approach for resection of these tumors.  ...  The purpose of this study was to validate one such preoperative planning tool for four patients undergoing hepatic resection.  ...  [1] developed a fully automatic segmentation of the liver with delineation of important anatomical (liver segments), pathological (lesions and tumors) and functional structures (hepatic vessels) and  ... 
doi:10.1117/12.813771 dblp:conf/miigp/DumpuriCLWSGMD09 fatcat:yduv25a3i5fnzow3c3bwqbv24m

Image Processing Tool Promoting Decision-Making in Liver Surgery of Patients with Chronic Kidney Disease

Kristina Bliznakova, Nikola Kolev, Zhivko Bliznakov, Ivan Buliev, Anton Tonev, Elitsa Encheva, Krasimir Ivanov
2014 Journal of Software Engineering and Applications  
The basis of the segmentation is a multiple seeded region growing algorithm adapted for use with CT images without contrast-enhancement.  ...  Finally, 3D rendering module provides possibility for easy and fast interpretation of the segmentation results.  ...  The algorithm has been successfully applied to various sets of CT data extracted from non-contrast liver CT scans with and without pathologies.  ... 
doi:10.4236/jsea.2014.72013 fatcat:2ajhvx72xreshfacn4jk567kjy

Intraoperative augmented reality for minimally invasive liver interventions

Michael Scheuering, Andrea Schenk, Armin Schneider, Bernhard Preim, Guenther Greiner, Robert L. Galloway, Jr.
2003 Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display  
Methods for fast segmentation of the liver parenchyma, of the intrahepatic vessels and of liver lesions are provided.  ...  Our system consists of a preoperative planning tool for liver surgery and an intraoperative real time visualization component.  ...  Rezk-Salama and H. Feussner for fruitful scientific discussions.  ... 
doi:10.1117/12.480212 dblp:conf/miigp/ScheueringSSPG03 fatcat:c5k5r77kw5arzm2gnpigfm6flq

Assessment of Intraoperative Liver Deformation During Hepatic Resection: Prospective Clinical Study

Oleg Heizmann, Stephan Zidowitz, Holger Bourquain, Silke Potthast, Heinz-Otto Peitgen, Daniel Oertli, Christoph Kettelhack
2010 World Journal of Surgery  
Locally, a rigid alignment of the anatomical structure can be achieved with less than 0.5 cm discrepancy relative to a segmental unit of the liver. Changes in total liver volume range from -13 to ?  ...  Pre-and intraoperatively, all patients were studied by CT-based 3D imaging and assessed for the potential value of computer-assisted planning.  ...  The intraoperative CT scan also provides useful data and is a valuable tool for performing complete and safe resection in special cases with central tumors.  ... 
doi:10.1007/s00268-010-0561-x pmid:20372896 fatcat:7oddl5yap5etjpkmvjw6vo3jvm

Mathematical Methods in Medical Imaging: Analysis of Vascular Structures for Liver Surgery Planning [chapter]

Dirk Selle, Wolf Spindler, Bernhard Preim, Heinz-Otto Peitgen
2001 Mathematics Unlimited — 2001 and Beyond  
Segmentation is required for the identification of anatomic and pathologic structures.  ...  anatomical and pathologic structures.  ... 
doi:10.1007/978-3-642-56478-9_53 fatcat:vckofjzchjecnbhrawb2t37jaq

Three-dimensional morphometric analysis for hepatectomy of centrally located hepatocellular carcinoma: A pilot study

Fei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu
2015 World Journal of Gastroenterology  
CT images were used for the 3D reconstruction of Couinaud's pedicles and hepatic veins, and the calculation of corresponding tumor territories and hepatic segments was performed using Yorktal DMIT software  ...  , which is essential for correctly defining the hepatic segments and the limits of tumors with wide variations in anatomy.  ...  Peer-review The authors detailed the use of computational three-dimensional modeling based on CT liver scans of patients with HCC and determined if this model can improve treatment.  ... 
doi:10.3748/wjg.v21.i15.4607 pmid:25914470 pmcid:PMC4402308 fatcat:a3nqadkab5ekhlo7er46pdz33q

Batch Normalized Convolution Neural Network for Liver Segmentation

Fatima Abdalbagi
2020 Zenodo  
to do the automatic liver segmentation.  ...  In this paper, we propose a Batch Normalization After All - Convolutional Neural Network (BATA-Convnet) model to segment the liver CT images using Deep Learning Technique.  ...  Christ et al. ware presented a combined automatic segmentation of the liver and its lesions in CT and MRI abdomen images using two cascaded fully convolutional neural networks (CFCNs) one for the segmentation  ... 
doi:10.5281/zenodo.4264377 fatcat:mm4uzuxkqfcxdp3i4liwwu64pq

Local, semi-automatic, three-dimensional liver reconstruction or external provider? An analysis of performance and time expense

Markus Paschold, Florentine Huettl, Werner Kneist, Christian Boedecker, Alicia Poplawski, Tobias Huber, Hauke Lang
2020 Langenbeck's archives of surgery (Print)  
Segmentation quality was analyzed by testing the equivalence for liver and tumor volumes, portal vein sectors, and hepatic vein territories.  ...  In hepatobiliary surgery, preoperative three-dimensional reconstruction based on CT or MRI can be provided externally or by local, semi-automatic software.  ...  The CT data used were from patients with various resectable pathologies and represent very different types of hepatectomy.  ... 
doi:10.1007/s00423-020-01862-7 pmid:32215728 pmcid:PMC7239814 fatcat:57il25m7qjc3lovjgpo2ybgmim

Preoperative planning in paediatric liver tumour surgery - a literature review

Dominika Kościuszko, Agnieszka Niemirycz-Makurat, Stefan Anzelewicz, Andrzej Gołębiewski, Piotr Czauderna
2021 Hepatoma Research  
We summarise the progress made and offer the directions in which further research could go. Computer-assisted surgery is a promising field for research and clinical application.  ...  This article presents the current research in paediatric liver imaging for liver tumour surgery and shows the results of a systematic search in computer-aided liver surgery in children.  ...  , automatic vessel segmentation in contrast -enhanced CT, etc.  ... 
doi:10.20517/2394-5079.2021.17 fatcat:kabtu72nkvdqfgqtl72aoawaqy
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