Three‐dimensional physics‐based registration of pelvic system using 2D dynamic magnetic resonance imaging slices

Courtecuisse, Hadrien; Jiang, Zhifan; Mayeur, Olivier; Witz, Jean‐François; Lecomte‐Grosbras, Pauline; Cosson, Michel; Brieu, Mathias; Cotin, Stéphane

doi:10.1111/str.12339

Cited by 12 publications

(11 citation statements)

References 35 publications

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“…In any case, however, visualization of the model is a resource-intensive procedure and takes up most of the resources of a device when running an application. In this regard, we implemented the algorithm, the main idea of which is to unite the areas of the model having a similar color -the condition in formula (8), into one finite element - (9) and (10). This approach is explained by the fact that in the EIT examination, it is often important to separate key areas (lungs, heart), and heterogeneity within these areas is not so important.…”

Section: Discussion Of Results Of the Study On Comparison Of Graphicsmentioning

confidence: 99%

“…Unlike [3], this paper does not set the task of adapting the model to each individual patient, and the principles outlined in [3] do not allow their application for dynamic visualization of the EIT. It can also be noted that the graphics libraries and their specifics for medical visualization were not compared in the reviewed papers [3][4][5][6][7][8][9].…”

Section: Discussion Of Results Of the Study On Comparison Of Graphicsmentioning

confidence: 99%

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Study of graphics libraries related to the problem of visualization of electrical impedance tomography images

Katsupeev

Aleksanyan

Kombarova

et al. 2020

EEJET

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The structure of the software for electric impedance tomography has been presented. This structure of application construction makes it possible to carry out the real-time EIT research and can be implemented on medical and technical devices, in particular, integrated into AVL devices. The algorithm for visualization of the results of conductivity field reconstruction was presented. Within this algorithm, there are two approaches to presenting color models and selecting colors for each particular finite element. The choice of one of these approaches depends on the needs of the study and leads either to faster performance, or to the higher quality of an image. The algorithm of neighboring finite elements, allowing reducing the time consumed to visualize the model by uniting neighboring elements with a similar color in one polygon, has been proposed. Reducing the number of finite elements leads to a higher speed of their output on the screen. A list of graphics libraries that can be used for the problems of visualization of the results of electric impedance tomography was presented. As a result of the research, it was found that among the analyzed libraries, the best time is demonstrated by the OpenGL library, which ensures the visualization of 0.02 s faster than in the case of the analogs. This is due to the high operation speed, which is provided by the implementation of the GPU visualization. It was shown that the use of the proposed algorithm of neighboring finite elements actually allows reducing the time spent on displaying the model on the screen from 0.05 s to 0.03 s for the OpenGL library. At the same time, the total time spent on visualization depends on the used graphics library. The obtained data can be used in the development of medical visualization systems, which should meet increased requirements in terms of the amount of displayed

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Section: Discussion Of Results Of the Study On Comparison Of Graphicsmentioning

confidence: 99%

Section: Discussion Of Results Of the Study On Comparison Of Graphicsmentioning

confidence: 99%

Study of graphics libraries related to the problem of visualization of electrical impedance tomography images

Katsupeev

Aleksanyan

Kombarova

et al. 2020

EEJET

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“…In the literature, some studies have attempted to non invasively quantify or model human soft tissues, organs, and skeleton in vivo dynamics during daily living activities [24,9,7]. In the context of pelvic floor dynamics, most studies were purely presented from a biomechanical point of view, and aimed essentially at modelling pelvic organ deformations with finite element simulations due to limitations of spatial resolution of dynamic MRI data [25,26]. In [27,7] a first attempt to quantify the ankle joint motion patterns through a combination of static and dynamic MRI data is presented.…”

Section: Related Workmentioning

confidence: 99%

“…In [26], 2D dynamic MRI images are combined with 3D biomechanical models in order to extrapolate the complete 3D dynamic motion of abdominal organs. This methodology was validated by checking the fact that the reconstructions were well conducted from the first scan towards the end of dynamic sequence.…”

Section: Related Workmentioning

confidence: 99%

Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion

Makki¹,

Bohi²,

Ogier³

et al. 2020

Preprint

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In this work, we present a pipeline for characterization of bladder surface dynamics during deep respiratory movements from dynamic Magnetic Resonance Imaging (MRI). Dynamic MRI may capture temporal anatomical changes in soft tissue organs with high-contrast but the obtained sequences usually suffer from limited volume coverage which makes the high resolution reconstruction of organ shape trajectories a major challenge in temporal studies. For a compact shape representation, the reconstructed temporal data with full volume coverage are first used to establish a subject-specific dynamical 4D mesh sequences using the large deformation diffeomorphic metric mapping (LDDMM) framework. Then, we performed a statistical characterization of organ shape changes from mechanical parameters such as mesh elongations and distortions. Since shape space is curved, we have also used the intrinsic curvature changes as metric to quantify surface evolution. However, the numerical computation of curvature is strongly dependant on the surface parameterization (i.e. the mesh resolution). To cope with this dependency, we propose a non-parametric level set method to evaluate spatio-temporal surface evolution. Independent of parameterization and minimizing the length of the geodesic curves, it shrinks smoothly the surface curves towards a sphere by minimizing a Dirichlet energy. An Eulerian PDE approach is used for evaluation of surface dynamics from the curve-shortening flow. Results demonstrate the numerical stability of the derived descriptor throughout smooth continuous-time organ trajectories. Intercorrelations between individuals' motion patterns from different geometric features are computed using the Laplace-Beltrami Operator (LBO) eigenfunctions for spherical mapping.

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“…Yet, most of these works use generic mechanical properties based on literature. [3][4][5][6][7][8][9][10][11] A potential solution is to explicitly optimize these properties on a patient-to-patient basis. Some work has attempted to single-objectively optimize the elastic properties of the vagina or muscles of the pelvic floor using multi-organ Finite Element Method (FEM) simulations of the pelvic region, showing promising results.…”

Section: Introductionmentioning

confidence: 99%

Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer

Rodriguez

Boer

Bosman

et al. 2023

Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling

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Validation of deformable image registration techniques is extremely important, but hard, especially when complex deformations or content mismatch are involved. These complex deformations and content mismatch, for example, occur after the placement of an applicator for brachytherapy for cervical cancer. Virtual phantoms could enable the creation of validation data sets with ground truth deformations that simulate the large deformations that occur between image acquisitions. However, the quality of the multi-organ Finite Element Method (FEM)-based simulations is dependent on the patient-specific external forces and mechanical properties assigned to the organs. A common approach to calibrate these simulation parameters is through optimization, finding the parameter settings that optimize the match between the outcome of the simulation and reality. When considering inherently simplified organ models, we hypothesize that the optimal deformations of one organ cannot be achieved with a single parameter setting without compromising the optimality of the deformation of the surrounding organs. This means that there will be a trade-off between the optimal deformations of adjacent organs, such as the vagina-uterus and bladder. This work therefore proposes and evaluates a multi-objective optimization approach where the trade-off between organ deformations can be assessed after optimization. We showcase what the extent of the trade-off looks like when bi-objectively optimizing the patient-specific mechanical properties and external forces of the vagina-uterus and bladder for FEM-based simulations.

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Three‐dimensional physics‐based registration of pelvic system using 2D dynamic magnetic resonance imaging slices

Cited by 12 publications

References 35 publications

Study of graphics libraries related to the problem of visualization of electrical impedance tomography images

Study of graphics libraries related to the problem of visualization of electrical impedance tomography images

Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion

Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer

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