Subject-specific modelling of pneumoperitoneum: model implementation, validation and human feasibility assessment

International Journal of Computer Assisted Radiology and Surgery
Mafalda CamaraPhilip Pratt

Abstract

The aim of this study is to propose a model that simulates patient-specific anatomical changes resulting from pneumoperitoneum, using preoperative data as input. The framework can assist the surgeon through a real-time visualisation and interaction with the model. Such could further facilitate surgical planning preoperatively, by defining a surgical strategy, and intraoperatively to estimate port positions. The biomechanical model that simulates pneumoperitoneum was implemented within the GPU-accelerated NVIDIA FleX position-based dynamics framework. Datasets of multiple porcine subjects before and after abdominal insufflation were used to generate, calibrate and validate the model. The feasibility of modelling pneumoperitoneum in human subjects was assessed by comparing distances between specific landmarks from a patient abdominal wall, to the same landmark measurements on the simulated model. The calibration of simulation parameters resulted in a successful estimation of an optimal set parameters. A correspondence between the simulation pressure parameter and the experimental insufflation pressure was determined. The simulation of pneumoperitoneum in a porcine subject resulted in a mean Hausdorff distance error of 5-6 mm. Fea...Continue Reading

References

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Sep 4, 2010·Journal of Minimal Access Surgery·Avinash N SupePradnya A Supe
Jan 5, 2013·Medical Image Computing and Computer-assisted Intervention : MICCAI·J BanoJ Marescaux
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Dec 24, 2015·Journal of Medical Imaging·Yukitaka NimuraKensaku Mori
Mar 21, 2016·International Journal of Computer Assisted Radiology and Surgery·Mafalda CamaraPhilip Pratt

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Citations

Dec 30, 2020·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Mateusz BasDominik Spinczyk

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Software Mentioned

MATLAB
AR
ITK
Kinect
SNAP
MeshLab
FleX
Interactive Segmentation

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