Deformable object reconstruction with particle systems

Jaillet, Fabrice; Shariat, Behzad; Vandorpe, D.

doi:10.1016/s0097-8493(98)00006-5

Cited by 15 publications

(7 citation statements)

References 8 publications

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“…Except for Jaillet et al (1998) and Yan et al (1999), who aimed directly by their modelling work the radiotherapy, the following quoted authors investigated the prostate motion due to the endorectal insertion, aiming essentially at improving the medical imaging registration (Crouch et al, 2003;Bharatha et al, 2001;Alterovitz et al, 2006;Hensel et al, 2007) or brachytherapy (Mohamed et al, 2002) quality. These biomechanical models, including finite element (FE) methods, use tissue material properties as input which are taken from the literature (or computed iteratively as for Bharatha et al, 2001), sometimes related to other organs (brain, muscles), not reflecting directly those of the pelvic organs.…”

Section: Introductionmentioning

confidence: 99%

Finite element simulation of interactions between pelvic organs: Predictive model of the prostate motion in the context of radiotherapy

Boubaker

Haboussi

Ganghoffer

et al. 2009

Journal of Biomechanics

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Section: Introductionmentioning

confidence: 99%

Finite element simulation of interactions between pelvic organs: Predictive model of the prostate motion in the context of radiotherapy

Boubaker

Haboussi

Ganghoffer

et al. 2009

Journal of Biomechanics

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“…Registration and segmentation [116] Finite element modeling Registration [31] Registration [80,134,135,138,139] Modeling and simulation [79] Simulation and predictive modeling of prostate motion [136] Modeling prostate motion [29] Reconstruction and animation of deformable volumetric objects [131] Tracking [137] reconstruction; meshing; and the integration of material properties (often Young's modulus and Poisson's ratio) and boundary conditions, such as any rigid constraint imposed by the pelvic bone and displacement of the rectal wall [79]. The first step concerns the segmentation (manual, semi-automatic or automatic) of the anatomical structure in the images (usually CT, MRI or ultrasound).…”

Section: Asmmentioning

confidence: 99%

“…Bharatha et al [134] Mesh and elastic deformation of tissue material by a set of discrete elements, such as a system of particles [131,132]. In continuous modeling, the materials are described directly by continuum mechanics equations, which are solved by finite element methods (FEMs) [31,79,80,[133][134][135][136].…”

Section: Brachytherapy Registrationmentioning

confidence: 99%

“…Jaillet et al [131] determined the volume of the pelvic organs (rectum, bladder and prostate) from cross-sectional CT images and subsequently filled the volume with spherically shaped particles. Large particles were reserved for the internal organs.…”

Section: Model Generationmentioning

confidence: 99%

“…The images are used to define the prostate contours and the positions of the seeds or the catheters. Modeling is often used to account for tissue deformations [27,131,133].…”

Section: Brachytherapymentioning

confidence: 99%

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A survey of prostate modeling for image analysis

Chilali¹,

Ouzzane²,

Diaf³

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Computer technology is widely used for multimodal image analysis of the prostate gland. Several techniques have been developed, most of which incorporate a priori knowledge extracted from organ features. Knowledge extraction and modeling are multi-step tasks. Here, we review these steps and classify the modeling according to the data analysis methods employed and the features used. We conclude with a survey of some clinical applications where these techniques are employed.

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3D soft tissue warping dynamics simulation based on force asynchronous diffusion model

Yuan

Liao

et al. 2011

Computer Animation & Virtual

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Soft tissue warping is one of the key technologies of medical dynamics simulation, such as surgical simulation, image guided surgery. In this paper, we present a novel simulation method which is stable and fast like linear models for soft tissue warping simulation. This method performs on the irregular mesh models, and it is able to represent the visual properties of physical processes with low computational complexity using the Force Asynchronous Diffusion Model (FADM) proposed in this paper. It contains three parts: model preprocessing, collision detection and simulation model solution. In model preprocessing, we establish three models based on the triangular mesh: the geometrical model, the physical model and the transitional model. A two-level collision detection algorithm is presented based on the three models. At every time step of the simulation model solution, to more accurately reflect the internal physical properties of the soft tissue, we divide the springs in physical model into three kinds: tissue springs, connection springs and virtual springs; and we propose the asynchronous regions and active regions to simplify the computing process according to the realistic physical warping. Experimental results show the FAMD can achieve good warping effects on speed and realism.

show abstract

Deformable object reconstruction with particle systems

Cited by 15 publications

References 8 publications

Finite element simulation of interactions between pelvic organs: Predictive model of the prostate motion in the context of radiotherapy

Finite element simulation of interactions between pelvic organs: Predictive model of the prostate motion in the context of radiotherapy

A survey of prostate modeling for image analysis

3D soft tissue warping dynamics simulation based on force asynchronous diffusion model

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