Literature DB >> 29728901

Multi-ray medical ultrasound simulation without explicit speckle modelling.

Mert Tuzer1, Abdulkadir Yazıcı1, Rüştü Türkay2, Michael Boyman3, Burak Acar4.   

Abstract

PURPOSE: To develop a medical ultrasound (US) simulation method using T1-weighted magnetic resonance images (MRI) as the input that offers a compromise between low-cost ray-based and high-cost realistic wave-based simulations.
METHODS: The proposed method uses a novel multi-ray image formation approach with a virtual phased array transducer probe. A domain model is built from input MR images. Multiple virtual acoustic rays are emerged from each element of the linear transducer array. Reflected and transmitted acoustic energy at discrete points along each ray is computed independently. Simulated US images are computed by fusion of the reflected energy along multiple rays from multiple transducers, while phase delays due to differences in distances to transducers are taken into account. A preliminary implementation using GPUs is presented.
RESULTS: Preliminary results show that the multi-ray approach is capable of generating view point-dependent realistic US images with an inherent Rician distributed speckle pattern automatically. The proposed simulator can reproduce the shadowing artefacts and demonstrates frequency dependence apt for practical training purposes. We also have presented preliminary results towards the utilization of the method for real-time simulations.
CONCLUSIONS: The proposed method offers a low-cost near-real-time wave-like simulation of realistic US images from input MR data. It can further be improved to cover the pathological findings using an improved domain model, without any algorithmic updates. Such a domain model would require lesion segmentation or manual embedding of virtual pathologies for training purposes.

Entities:  

Keywords:  MR-based body model; Multi-ray-based US simulation; Simulator; US training; Ultrasound

Mesh:

Year:  2018        PMID: 29728901     DOI: 10.1007/s11548-018-1760-4

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  9 in total

1.  Real-time ultrasonography simulator based on 3D CT-scan images.

Authors:  Alexandre Hostettler; Clément Forest; Antonello Forgione; Luc Soler; Jacques Marescaux
Journal:  Stud Health Technol Inform       Date:  2005

2.  An augmented reality simulator for ultrasound guided needle placement training.

Authors:  D Magee; Y Zhu; R Ratnalingam; P Gardner; D Kessel
Journal:  Med Biol Eng Comput       Date:  2007-07-26       Impact factor: 2.602

3.  A fast convolution-based methodology to simulate 2-D/3-D cardiac ultrasound images.

Authors:  Hang Gao; Hon Fai Choi; Piet Claus; Steven Boonen; Siegfried Jaecques; G Harry Van Lenthe; Georges Van der Perre; Walter Lauriks; Jan D'hooge
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2009-02       Impact factor: 2.725

4.  Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention.

Authors:  Wolfgang Wein; Shelby Brunke; Ali Khamene; Matthew R Callstrom; Nassir Navab
Journal:  Med Image Anal       Date:  2008-06-19       Impact factor: 8.545

5.  Real-time simulation of medical ultrasound from CT images.

Authors:  Ramtin Shams; Richard Hartley; Nassir Navab
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

6.  Modeling and simulation of flexible needles.

Authors:  Orcun Goksel; Ehsan Dehghan; Septimiu E Salcudean
Journal:  Med Eng Phys       Date:  2009-08-11       Impact factor: 2.242

7.  SONOSim3D: a multimedia system for sonography simulation and education with an extensible case database.

Authors:  H H Ehricke
Journal:  Eur J Ultrasound       Date:  1998-08

8.  Fast Simulation of Dynamic Ultrasound Images Using the GPU.

Authors:  Sigurd Storve; Hans Torp
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2017-07-25       Impact factor: 2.725

9.  Real-time GPU-based ultrasound simulation using deformable mesh models.

Authors:  Benny Bürger; Sascha Bettinghausen; Matthias Rädle; Jürgen Hesser
Journal:  IEEE Trans Med Imaging       Date:  2012-12-20       Impact factor: 10.048

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.