Realistic deformable 3D numeric phantom for transcutaneous ultrasound
Main Author: | |
---|---|
Publication Date: | 2017 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Research on Biomedical Engineering (Online) |
Download full: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100001 |
Summary: | Abstract Introduction Numerical phantoms are important tools to design, calibrate and evaluate several methods in various image-processing applications, such as echocardiography and mammography. We present a framework for creating ultrasound numerical deformable phantoms based on Finite Element Method (FEM), Linear Isomorphism and Field II. The proposed method considers that the scatterers map is a property of the tissue; therefore, the scatterers should move according to the tissue strain. Methods First, a volume representing the target tissue is loaded. Second, parameter values, such as Young’s Modulus, scatterers density, attenuation and scattering amplitudes are inserted for each different regions of the phantom. Then, other parameters related to the ultrasound equipment, such as ultrasound frequency and number of transducer elements, are also defined in order to perform the ultrasound acquisition using Field II. Third, the size and position of the transducer and the pressures that are applied against the tissue are defined. Subsequently, FEM is executed and deformation is computed. Next, 3D linear isomorphism is performed to displace the scatterers according to the deformation. Finally, Field II is carried out to generate the non-deformed and deformed ultrasound data. Results The framework is evaluated by comparing strain values obtained the numerical simulation and from the physical phantom from CIRS. The mean difference between both phantoms is lesser than 10%. Conclusion The acoustic and deformation outcomes are similar to those obtained using a physical phantom. This framework led to a tool, which is available online and free of charges for educational and research purposes. |
id |
SBEB-1_3c4e1443d90bd63c07eddefaf6614a2f |
---|---|
oai_identifier_str |
oai:scielo:S2446-47402017000100001 |
network_acronym_str |
SBEB-1 |
network_name_str |
Research on Biomedical Engineering (Online) |
repository_id_str |
|
spelling |
Realistic deformable 3D numeric phantom for transcutaneous ultrasoundUltrasound imagesSimulationNumerical phantomsElasticityLinear isomorphismAbstract Introduction Numerical phantoms are important tools to design, calibrate and evaluate several methods in various image-processing applications, such as echocardiography and mammography. We present a framework for creating ultrasound numerical deformable phantoms based on Finite Element Method (FEM), Linear Isomorphism and Field II. The proposed method considers that the scatterers map is a property of the tissue; therefore, the scatterers should move according to the tissue strain. Methods First, a volume representing the target tissue is loaded. Second, parameter values, such as Young’s Modulus, scatterers density, attenuation and scattering amplitudes are inserted for each different regions of the phantom. Then, other parameters related to the ultrasound equipment, such as ultrasound frequency and number of transducer elements, are also defined in order to perform the ultrasound acquisition using Field II. Third, the size and position of the transducer and the pressures that are applied against the tissue are defined. Subsequently, FEM is executed and deformation is computed. Next, 3D linear isomorphism is performed to displace the scatterers according to the deformation. Finally, Field II is carried out to generate the non-deformed and deformed ultrasound data. Results The framework is evaluated by comparing strain values obtained the numerical simulation and from the physical phantom from CIRS. The mean difference between both phantoms is lesser than 10%. Conclusion The acoustic and deformation outcomes are similar to those obtained using a physical phantom. This framework led to a tool, which is available online and free of charges for educational and research purposes.Sociedade Brasileira de Engenharia Biomédica2017-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100001Research on Biomedical Engineering v.33 n.1 2017reponame:Research on Biomedical Engineering (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/2446-4740.05616info:eu-repo/semantics/openAccessCardoso,Fernando MitsuyamaMoraes,Matheus CardosoFuruie,Sergio Shiguemieng2017-07-04T00:00:00Zoai:scielo:S2446-47402017000100001Revistahttp://www.rbejournal.org/https://old.scielo.br/oai/scielo-oai.php||rbe@rbejournal.org2446-47402446-4732opendoar:2017-07-04T00:00Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false |
dc.title.none.fl_str_mv |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
title |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
spellingShingle |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound Cardoso,Fernando Mitsuyama Ultrasound images Simulation Numerical phantoms Elasticity Linear isomorphism |
title_short |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
title_full |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
title_fullStr |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
title_full_unstemmed |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
title_sort |
Realistic deformable 3D numeric phantom for transcutaneous ultrasound |
author |
Cardoso,Fernando Mitsuyama |
author_facet |
Cardoso,Fernando Mitsuyama Moraes,Matheus Cardoso Furuie,Sergio Shiguemi |
author_role |
author |
author2 |
Moraes,Matheus Cardoso Furuie,Sergio Shiguemi |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cardoso,Fernando Mitsuyama Moraes,Matheus Cardoso Furuie,Sergio Shiguemi |
dc.subject.por.fl_str_mv |
Ultrasound images Simulation Numerical phantoms Elasticity Linear isomorphism |
topic |
Ultrasound images Simulation Numerical phantoms Elasticity Linear isomorphism |
description |
Abstract Introduction Numerical phantoms are important tools to design, calibrate and evaluate several methods in various image-processing applications, such as echocardiography and mammography. We present a framework for creating ultrasound numerical deformable phantoms based on Finite Element Method (FEM), Linear Isomorphism and Field II. The proposed method considers that the scatterers map is a property of the tissue; therefore, the scatterers should move according to the tissue strain. Methods First, a volume representing the target tissue is loaded. Second, parameter values, such as Young’s Modulus, scatterers density, attenuation and scattering amplitudes are inserted for each different regions of the phantom. Then, other parameters related to the ultrasound equipment, such as ultrasound frequency and number of transducer elements, are also defined in order to perform the ultrasound acquisition using Field II. Third, the size and position of the transducer and the pressures that are applied against the tissue are defined. Subsequently, FEM is executed and deformation is computed. Next, 3D linear isomorphism is performed to displace the scatterers according to the deformation. Finally, Field II is carried out to generate the non-deformed and deformed ultrasound data. Results The framework is evaluated by comparing strain values obtained the numerical simulation and from the physical phantom from CIRS. The mean difference between both phantoms is lesser than 10%. Conclusion The acoustic and deformation outcomes are similar to those obtained using a physical phantom. This framework led to a tool, which is available online and free of charges for educational and research purposes. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402017000100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2446-4740.05616 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Engenharia Biomédica |
publisher.none.fl_str_mv |
Sociedade Brasileira de Engenharia Biomédica |
dc.source.none.fl_str_mv |
Research on Biomedical Engineering v.33 n.1 2017 reponame:Research on Biomedical Engineering (Online) instname:Sociedade Brasileira de Engenharia Biomédica (SBEB) instacron:SBEB |
instname_str |
Sociedade Brasileira de Engenharia Biomédica (SBEB) |
instacron_str |
SBEB |
institution |
SBEB |
reponame_str |
Research on Biomedical Engineering (Online) |
collection |
Research on Biomedical Engineering (Online) |
repository.name.fl_str_mv |
Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB) |
repository.mail.fl_str_mv |
||rbe@rbejournal.org |
_version_ |
1752126288729997312 |