Model-based compensation of tissue deformation during data acquisition for interpolative ultrasound simulation

Barbara, Flack; Makhinya, Maxim; Göksel, Orçun

doi:10.1109/isbi.2016.7493317

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…The US simulators employing this technique may require an algorithmic solution to collect 3D volumes from real patients that can be managed by free hand scanning [32]. During the acquisition, the transducer puts pressure on the skin, resulting in tissue deformation, but there are efficient algorithms and models to correct these [37]. Compared to other methods, the major advantage is the simplicity of the implementation, leading to a real-time realization [32].…”

Section: Interpolative Methodsmentioning

confidence: 99%

Simulated Medical Ultrasound Trainers A Review of Solutions and Applications

Urbán¹,

Galambos²,

Györök³

et al. 2018

ACTA POLYTECH HUNG

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Ultrasound is one of the most widely employed real-time diagnostic imaging modalities in modern medicine. To use it efficiently, and to correctly interpret the images, the medical staff needs to acquire sophisticated skills. In this article, a review is provided on the devices and methods of modern ultrasonography training employing high-end information technology tools. It spans from the most critical moments, examination, to image-based training methods. Hardware and software based solutions are introduced along their current limitations. A comprehensive overview is provided about the most popular ultrasound simulators based on a common set of criteria, including their basic features, simulation methods, training concept and the supported scanning protocols. Tutors shall be able to make better informed decisions based on the enlisted characteristics of the various systems. The principles of simulation methods and techniques are also discussed in details along with the challenges of the field.

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Section: Interpolative Methodsmentioning

confidence: 99%

Simulated Medical Ultrasound Trainers A Review of Solutions and Applications

Urbán¹,

Galambos²,

Györök³

et al. 2018

ACTA POLYTECH HUNG

View full text Add to dashboard Cite

show abstract

“…The probe deforms the tissue on a global scale, proportionally to the pressure exerted on the skin. An interesting study has been made by (Flack et al, 2016), which records the probe position during acquisition to deduce the exerted pressure, and apply reverse displacement onto the US images. However, the studied abdominal image exhibit much larger deformations than ours.…”

Section: Tissue Deformation Shadermentioning

confidence: 99%

A Real-time Ultrasound Rendering with Model-based Tissue Deformation for Needle Insertion

Barnouin

Zara

Jaillet

2020

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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In the course of developing a training simulator for puncture, a novel approach is proposed to render in realtime the ultrasound (US) image of any 3D model. It is combined with the deformation of the soft tissues (due to their interactions with a needle and a probe) according to their physical properties. Our solution reproduces the usual US artifacts at a low cost. It combines the use of textures and ray-tracing with a new way to efficiently render fibrous tissues. Deformations are handled in real-time on the GPU using displacement functions. Our approach goes beyond the usual bottleneck of real-time deformations of 3D models in interactive US simulation. The display of tissues deformation and the possibilities to tune the 3D morphotypes, tissue properties, needle shape, or even specific probe characteristics, is clearly an advantage in such a training environment.

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“…This method evaluates the deformation range using stress evaluation method based on elastic theory. Barbera et al, 34 debriefs about inserting correct probe position during tissue deformation using finite element method around the contact area. This paper describes volumetric deformation using a simple algorithm such that when scalpel intersects the cube, its intersection points are known and vertices are resized.…”

Section: Volumetricmentioning

confidence: 99%

Untitled

2019

IJPSR

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Most of the simulation methods for soft tissue modeling involve tetrahedral meshes which is quite complex and takes much computation time. Instead, this work attempts to make use of delaunay triangulated mesh that consists of unique mathematical properties suited for simulating soft tissues. Although, triangulated mesh is not so complex yet effective in producing elements of good quality. It even reduces computation time compared to the tetrahedral mesh by providing more geometric flexibility. In virtual surgery, it is essential to model the layers of soft tissues of human skin to perform a simulation of deformation and removal of cells. Based on this the multilayered model of skin prototype is developed in a pre-process and used for interactive modeling. This work presents a simple method for performing real-time collision detection in a virtual surgery environment. Also shows the efficient computation of collisions between the scalpel and delaunay triangulated mesh using a local collision detection function. The framework incorporates qualitative results obtained towards the simulation of surgical deformation and removal of soft tissues using appropriate algorithms. It also uses real-time texture mapping to enhance the visual realism.

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Model-based compensation of tissue deformation during data acquisition for interpolative ultrasound simulation

Cited by 9 publications

References 6 publications

Simulated Medical Ultrasound Trainers A Review of Solutions and Applications

Simulated Medical Ultrasound Trainers A Review of Solutions and Applications

A Real-time Ultrasound Rendering with Model-based Tissue Deformation for Needle Insertion

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