An in silico pipeline for subject-specific hemodynamics analysis in liver surgery planning
The progresses in fast simulations of the hepatic flow in subject-specific vascular tree have created new toolkits for pre-surgical planning. The aim of this short communication is to introduce a computational pipeline that integrates several recently developed in silico liver models and algorithms....
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Published in | Computer methods in biomechanics and biomedical engineering Vol. 23; no. 4; pp. 138 - 142 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Taylor & Francis
11.03.2020
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 1025-5842 1476-8259 1476-8259 |
DOI | 10.1080/10255842.2019.1708335 |
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Abstract | The progresses in fast simulations of the hepatic flow in subject-specific vascular tree have created new toolkits for pre-surgical planning. The aim of this short communication is to introduce a computational pipeline that integrates several recently developed in silico liver models and algorithms. Firstly, a semi-automatic segmentation pipeline is used to digitise hepatic vessels. Then, a constructive constraint optimisation (CCO) algorithm is used to extend the digitised vascular tree, and also to compute the blood pressure and flow velocity in the tree. Couinaud segments are simulated from the diffusion zones of the portal venous tree. The constructed surgical planning model is then deployed cross-platform for use in various scenarios. |
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AbstractList | The progresses in fast simulations of the hepatic flow in subject-specific vascular tree have created new toolkits for pre-surgical planning. The aim of this short communication is to introduce a computational pipeline that integrates several recently developed in silico liver models and algorithms. Firstly, a semi-automatic segmentation pipeline is used to digitise hepatic vessels. Then, a constructive constraint optimisation (CCO) algorithm is used to extend the digitised vascular tree, and also to compute the blood pressure and flow velocity in the tree. Couinaud segments are simulated from the diffusion zones of the portal venous tree. The constructed surgical planning model is then deployed cross-platform for use in various scenarios. The progresses in fast simulations of the hepatic flow in subject-specific vascular tree have created new toolkits for pre-surgical planning. The aim of this short communication is to introduce a computational pipeline that integrates several recently developed liver models and algorithms. Firstly, a semi-automatic segmentation pipeline is used to digitise hepatic vessels. Then, a constructive constraint optimisation (CCO) algorithm is used to extend the digitised vascular tree, and also to compute the blood pressure and flow velocity in the tree. Couinaud segments are simulated from the diffusion zones of the portal venous tree. The constructed surgical planning model is then deployed cross-platform for use in various scenarios. The progresses in fast simulations of the hepatic flow in subject-specific vascular tree have created new toolkits for pre-surgical planning. The aim of this short communication is to introduce a computational pipeline that integrates several recently developed in silico liver models and algorithms. Firstly, a semi-automatic segmentation pipeline is used to digitise hepatic vessels. Then, a constructive constraint optimisation (CCO) algorithm is used to extend the digitised vascular tree, and also to compute the blood pressure and flow velocity in the tree. Couinaud segments are simulated from the diffusion zones of the portal venous tree. The constructed surgical planning model is then deployed cross-platform for use in various scenarios.The progresses in fast simulations of the hepatic flow in subject-specific vascular tree have created new toolkits for pre-surgical planning. The aim of this short communication is to introduce a computational pipeline that integrates several recently developed in silico liver models and algorithms. Firstly, a semi-automatic segmentation pipeline is used to digitise hepatic vessels. Then, a constructive constraint optimisation (CCO) algorithm is used to extend the digitised vascular tree, and also to compute the blood pressure and flow velocity in the tree. Couinaud segments are simulated from the diffusion zones of the portal venous tree. The constructed surgical planning model is then deployed cross-platform for use in various scenarios. |
Author | Bartlett, A. Yu, H. B. Ho, H. Hunter, P. |
Author_xml | – sequence: 1 givenname: H. orcidid: 0000-0002-4160-0737 surname: Ho fullname: Ho, H. email: harvey.ho@auckland.ac.nz organization: Auckland Bioengineering Institute, The University of Auckland – sequence: 2 givenname: H. B. surname: Yu fullname: Yu, H. B. organization: Auckland Bioengineering Institute, The University of Auckland – sequence: 3 givenname: A. surname: Bartlett fullname: Bartlett, A. organization: New Zealand Liver Transplant Unit, Auckland City Hospital – sequence: 4 givenname: P. orcidid: 0000-0001-9665-4145 surname: Hunter fullname: Hunter, P. organization: Auckland Bioengineering Institute, The University of Auckland |
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SubjectTerms | Algorithms blood flow model Blood pressure Blood vessels Computer applications Computer Simulation Construction planning Digitization Flow velocity Hemodynamics Hemodynamics - physiology Hepatectomy Humans Image Processing, Computer-Assisted Liver Liver - blood supply Liver - surgery liver function Models, Anatomic Optimization Pipelines Segmentation Surgery surgical planning Toolkits |
Title | An in silico pipeline for subject-specific hemodynamics analysis in liver surgery planning |
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