Literature DB >> 31435812

Ultrasound simulation with deformable and patient-specific scatterer maps.

Rastislav Starkov1, Lin Zhang1, Michael Bajka2, Christine Tanner1, Orcun Goksel3.   

Abstract

PURPOSE: Ray-tracing-based simulations model ultrasound (US) interactions with a custom geometric anatomical model, where US texture can be emulated via real-time point-spread function convolutions of a tissue scatterer representation. Such scatterer representations for realistic appearance are difficult to parameterize or model manually and do not respond to volumetric deformations such as those caused with tissue compression by the probe. Herein we utilize brightness mode (B-mode) estimated scatterer maps for ray tracing and propose to enhance the realism of ray-tracing-based simulations by incorporating dynamic speckle patterns that change compliant with tissue deformation.
METHODS: In this work, we realistically simulate US texture deformations in the scatterer domain via back-projection of ray segments into a nominal state before sampling during simulation runtime. We estimate scatterer maps from background in vivo images using a pretrained generative adversarial network.
RESULTS: We demonstrated our proposed scatterer estimation and runtime background fusion method on simulated transvaginal US scans of detailed surface-based foetal models. We show the viability of modelling deformations in the scatterer domain at interactive frame rates of 28 frames per second. A quantitative and a qualitative evaluations indicated improved realism in comparison to the state of the art.
CONCLUSIONS: Transferring a background image in a scatterer representation enables us to capture anatomical content in a physical space, in which deformations can be incorporated physically consistently before convolving with a US point-spread function during simulation runtime. This then uses the same imaging model on both the background and the hand-crafted models leading to a consistent and seamless compounding of contents in the scatterer space.

Entities:  

Keywords:  Medical training; Monte-Carlo; Ray tracing; Sonography; Ultrasound simulation; Virtual reality

Mesh:

Year:  2019        PMID: 31435812     DOI: 10.1007/s11548-019-02054-5

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


  11 in total

1.  Ultrasound simulators: experience with the SonoTrainer and comparative review of other training systems.

Authors:  H Maul; A Scharf; P Baier; M Wüstemann; H H Günter; G Gebauer; C Sohn
Journal:  Ultrasound Obstet Gynecol       Date:  2004-10       Impact factor: 7.299

2.  Scatterer reconstruction and parametrization of homogeneous tissue for ultrasound image simulation.

Authors:  Oliver Mattausch; Orcun Goksel
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

3.  Fast deformable registration of 3D-ultrasound data using a variational approach.

Authors:  Darko Zikic; Wolfgang Wein; Ali Khamene; Dirk-André Clevert; Nassir Navab
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

4.  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

5.  BiopSym: a simulator for enhanced learning of ultrasound-guided prostate biopsy.

Authors:  Stefano Sclaverano; Grégoire Chevreau; Lucile Vadcard; Pierre Mozer; Jocelyne Troccaz
Journal:  Stud Health Technol Inform       Date:  2009

6.  B-mode ultrasound image simulation in deformable 3-D medium.

Authors:  Orcun Goksel; Septimiu E Salcudean
Journal:  IEEE Trans Med Imaging       Date:  2009-03-10       Impact factor: 10.048

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.  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.  Image-Based Reconstruction of Tissue Scatterers Using Beam Steering for Ultrasound Simulation.

Authors:  Oliver Mattausch; Orcun Goksel
Journal:  IEEE Trans Med Imaging       Date:  2018-03       Impact factor: 10.048

10.  Ultrasonic B-scanning: a computer simulation.

Authors:  J C Bamber; R J Dickinson
Journal:  Phys Med Biol       Date:  1980-05       Impact factor: 3.609

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