Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications

Power Doppler ultrasonic (PD-US) imaging is sensitive to echoes from blood cell motion in the microvasculature but generally nonspecific because of difficulties with filtering non-blood-echo sources. We are studying the potential for using PD-US imaging for routine assessments of the peripheral bloo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2022-12, Vol.69 (12), p.1-1
Hauptverfasser: Insana, Michael F., Dai, Bingze, Babaei, Somaye, Abbey, Craig K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1
container_issue 12
container_start_page 1
container_title IEEE transactions on ultrasonics, ferroelectrics, and frequency control
container_volume 69
creator Insana, Michael F.
Dai, Bingze
Babaei, Somaye
Abbey, Craig K.
description Power Doppler ultrasonic (PD-US) imaging is sensitive to echoes from blood cell motion in the microvasculature but generally nonspecific because of difficulties with filtering non-blood-echo sources. We are studying the potential for using PD-US imaging for routine assessments of the peripheral blood perfusion without contrast media. The strategy developed is based on an experimentally verified computational model of tissue perfusion that simulates typical in vivo conditions. The model considers directed and diffuse blood perfusion states in a field of moving clutter and noise. A spatial registration method is applied to minimize tissue motion prior to clutter and noise filtering. The results show that in-plane clutter motion is effectively minimized. While out-of-plane motion remains a strong source of clutter-filter leakage, those registration errors are readily minimized by straightforward modification of scanning techniques and spatial averaging.
doi_str_mv 10.1109/TUFFC.2022.3211469
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmed_primary_36191097</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9907040</ieee_id><sourcerecordid>2739837470</sourcerecordid><originalsourceid>FETCH-LOGICAL-c450t-d52361c92b9dff78fab023e6060357152c989e9690e56f3df7850f0e67dc4c313</originalsourceid><addsrcrecordid>eNpdkU9v1DAQxS1ERZfCFwAJReLCJdvxvzi-IKFtFypV6qU9W1nH3nWVjYOdtOLbM-kuK-A0tt5vnubpEfKBwpJS0Jf3D-v1asmAsSVnlIpKvyILKpksay3la7KAupYlBwrn5G3OjwBUCM3ekHNeUY0OakHGVdxvQh_6bZGHZgxNVyS3DXlM-Il98RzGXWG7aRxdKnzocMysj6kY4rNL5VUchg61sG-2sxL6YkBm2LmEXvj0U56NGsSCfTHN78iZb7rs3h_nBXlYX9-vfpS3d99vVt9uSyskjGUrGR5qNdvo1ntV-2YDjLsKKuBSYVCra-10pcHJyvMWEQkeXKVaKyyn_IJ8PfgO02bvWut6jNWZIeGx6ZeJTTD_Kn3YmW18MloJqplAgy9HgxR_Ti6PZh-ydV3X9C5O2TDFKMN7dIXo5__QxzilHuMhxXXNlVCAFDtQNsWck_OnYyiYuVTzUqqZSzXHUnHp098xTit_WkTg4wEIzrmTrDUoEMB_A2aeqTc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2739837470</pqid></control><display><type>article</type><title>Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications</title><source>MEDLINE</source><source>IEEE Electronic Library (IEL)</source><creator>Insana, Michael F. ; Dai, Bingze ; Babaei, Somaye ; Abbey, Craig K.</creator><creatorcontrib>Insana, Michael F. ; Dai, Bingze ; Babaei, Somaye ; Abbey, Craig K.</creatorcontrib><description>Power Doppler ultrasonic (PD-US) imaging is sensitive to echoes from blood cell motion in the microvasculature but generally nonspecific because of difficulties with filtering non-blood-echo sources. We are studying the potential for using PD-US imaging for routine assessments of the peripheral blood perfusion without contrast media. The strategy developed is based on an experimentally verified computational model of tissue perfusion that simulates typical in vivo conditions. The model considers directed and diffuse blood perfusion states in a field of moving clutter and noise. A spatial registration method is applied to minimize tissue motion prior to clutter and noise filtering. The results show that in-plane clutter motion is effectively minimized. While out-of-plane motion remains a strong source of clutter-filter leakage, those registration errors are readily minimized by straightforward modification of scanning techniques and spatial averaging.</description><identifier>ISSN: 0885-3010</identifier><identifier>EISSN: 1525-8955</identifier><identifier>DOI: 10.1109/TUFFC.2022.3211469</identifier><identifier>PMID: 36191097</identifier><identifier>CODEN: ITUCER</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Acoustics ; Bandwidth ; Blood ; Blood cells ; Blood Flow Velocity ; Clutter ; clutter filtering ; Contrast media ; Echoes ; Filtration ; Imaging ; motion modeling ; Muscles ; Perfusion ; phantom studies ; Phantoms, Imaging ; power-Doppler ultrasound ; scattering model ; Signal Processing, Computer-Assisted ; Solid modeling ; spatial registration ; Ultrasonography - methods ; Ultrasonography, Doppler - methods</subject><ispartof>IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2022-12, Vol.69 (12), p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-d52361c92b9dff78fab023e6060357152c989e9690e56f3df7850f0e67dc4c313</citedby><cites>FETCH-LOGICAL-c450t-d52361c92b9dff78fab023e6060357152c989e9690e56f3df7850f0e67dc4c313</cites><orcidid>0000-0002-6630-0298 ; 0000-0003-4608-9402 ; 0000-0003-0812-7295</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9907040$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,796,885,27924,27925,54758</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36191097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Insana, Michael F.</creatorcontrib><creatorcontrib>Dai, Bingze</creatorcontrib><creatorcontrib>Babaei, Somaye</creatorcontrib><creatorcontrib>Abbey, Craig K.</creatorcontrib><title>Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications</title><title>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</title><addtitle>T-UFFC</addtitle><addtitle>IEEE Trans Ultrason Ferroelectr Freq Control</addtitle><description>Power Doppler ultrasonic (PD-US) imaging is sensitive to echoes from blood cell motion in the microvasculature but generally nonspecific because of difficulties with filtering non-blood-echo sources. We are studying the potential for using PD-US imaging for routine assessments of the peripheral blood perfusion without contrast media. The strategy developed is based on an experimentally verified computational model of tissue perfusion that simulates typical in vivo conditions. The model considers directed and diffuse blood perfusion states in a field of moving clutter and noise. A spatial registration method is applied to minimize tissue motion prior to clutter and noise filtering. The results show that in-plane clutter motion is effectively minimized. While out-of-plane motion remains a strong source of clutter-filter leakage, those registration errors are readily minimized by straightforward modification of scanning techniques and spatial averaging.</description><subject>Acoustics</subject><subject>Bandwidth</subject><subject>Blood</subject><subject>Blood cells</subject><subject>Blood Flow Velocity</subject><subject>Clutter</subject><subject>clutter filtering</subject><subject>Contrast media</subject><subject>Echoes</subject><subject>Filtration</subject><subject>Imaging</subject><subject>motion modeling</subject><subject>Muscles</subject><subject>Perfusion</subject><subject>phantom studies</subject><subject>Phantoms, Imaging</subject><subject>power-Doppler ultrasound</subject><subject>scattering model</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Solid modeling</subject><subject>spatial registration</subject><subject>Ultrasonography - methods</subject><subject>Ultrasonography, Doppler - methods</subject><issn>0885-3010</issn><issn>1525-8955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpdkU9v1DAQxS1ERZfCFwAJReLCJdvxvzi-IKFtFypV6qU9W1nH3nWVjYOdtOLbM-kuK-A0tt5vnubpEfKBwpJS0Jf3D-v1asmAsSVnlIpKvyILKpksay3la7KAupYlBwrn5G3OjwBUCM3ekHNeUY0OakHGVdxvQh_6bZGHZgxNVyS3DXlM-Il98RzGXWG7aRxdKnzocMysj6kY4rNL5VUchg61sG-2sxL6YkBm2LmEXvj0U56NGsSCfTHN78iZb7rs3h_nBXlYX9-vfpS3d99vVt9uSyskjGUrGR5qNdvo1ntV-2YDjLsKKuBSYVCra-10pcHJyvMWEQkeXKVaKyyn_IJ8PfgO02bvWut6jNWZIeGx6ZeJTTD_Kn3YmW18MloJqplAgy9HgxR_Ti6PZh-ydV3X9C5O2TDFKMN7dIXo5__QxzilHuMhxXXNlVCAFDtQNsWck_OnYyiYuVTzUqqZSzXHUnHp098xTit_WkTg4wEIzrmTrDUoEMB_A2aeqTc</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Insana, Michael F.</creator><creator>Dai, Bingze</creator><creator>Babaei, Somaye</creator><creator>Abbey, Craig K.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6630-0298</orcidid><orcidid>https://orcid.org/0000-0003-4608-9402</orcidid><orcidid>https://orcid.org/0000-0003-0812-7295</orcidid></search><sort><creationdate>20221201</creationdate><title>Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications</title><author>Insana, Michael F. ; Dai, Bingze ; Babaei, Somaye ; Abbey, Craig K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-d52361c92b9dff78fab023e6060357152c989e9690e56f3df7850f0e67dc4c313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acoustics</topic><topic>Bandwidth</topic><topic>Blood</topic><topic>Blood cells</topic><topic>Blood Flow Velocity</topic><topic>Clutter</topic><topic>clutter filtering</topic><topic>Contrast media</topic><topic>Echoes</topic><topic>Filtration</topic><topic>Imaging</topic><topic>motion modeling</topic><topic>Muscles</topic><topic>Perfusion</topic><topic>phantom studies</topic><topic>Phantoms, Imaging</topic><topic>power-Doppler ultrasound</topic><topic>scattering model</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Solid modeling</topic><topic>spatial registration</topic><topic>Ultrasonography - methods</topic><topic>Ultrasonography, Doppler - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Insana, Michael F.</creatorcontrib><creatorcontrib>Dai, Bingze</creatorcontrib><creatorcontrib>Babaei, Somaye</creatorcontrib><creatorcontrib>Abbey, Craig K.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Insana, Michael F.</au><au>Dai, Bingze</au><au>Babaei, Somaye</au><au>Abbey, Craig K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications</atitle><jtitle>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</jtitle><stitle>T-UFFC</stitle><addtitle>IEEE Trans Ultrason Ferroelectr Freq Control</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>69</volume><issue>12</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>0885-3010</issn><eissn>1525-8955</eissn><coden>ITUCER</coden><abstract>Power Doppler ultrasonic (PD-US) imaging is sensitive to echoes from blood cell motion in the microvasculature but generally nonspecific because of difficulties with filtering non-blood-echo sources. We are studying the potential for using PD-US imaging for routine assessments of the peripheral blood perfusion without contrast media. The strategy developed is based on an experimentally verified computational model of tissue perfusion that simulates typical in vivo conditions. The model considers directed and diffuse blood perfusion states in a field of moving clutter and noise. A spatial registration method is applied to minimize tissue motion prior to clutter and noise filtering. The results show that in-plane clutter motion is effectively minimized. While out-of-plane motion remains a strong source of clutter-filter leakage, those registration errors are readily minimized by straightforward modification of scanning techniques and spatial averaging.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>36191097</pmid><doi>10.1109/TUFFC.2022.3211469</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-6630-0298</orcidid><orcidid>https://orcid.org/0000-0003-4608-9402</orcidid><orcidid>https://orcid.org/0000-0003-0812-7295</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0885-3010
ispartof IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2022-12, Vol.69 (12), p.1-1
issn 0885-3010
1525-8955
language eng
recordid cdi_pubmed_primary_36191097
source MEDLINE; IEEE Electronic Library (IEL)
subjects Acoustics
Bandwidth
Blood
Blood cells
Blood Flow Velocity
Clutter
clutter filtering
Contrast media
Echoes
Filtration
Imaging
motion modeling
Muscles
Perfusion
phantom studies
Phantoms, Imaging
power-Doppler ultrasound
scattering model
Signal Processing, Computer-Assisted
Solid modeling
spatial registration
Ultrasonography - methods
Ultrasonography, Doppler - methods
title Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T05%3A12%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Combining%20spatial%20registration%20with%20clutter%20filtering%20for%20power-Doppler%20imaging%20in%20peripheral%20perfusion%20applications&rft.jtitle=IEEE%20transactions%20on%20ultrasonics,%20ferroelectrics,%20and%20frequency%20control&rft.au=Insana,%20Michael%20F.&rft.date=2022-12-01&rft.volume=69&rft.issue=12&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=0885-3010&rft.eissn=1525-8955&rft.coden=ITUCER&rft_id=info:doi/10.1109/TUFFC.2022.3211469&rft_dat=%3Cproquest_pubme%3E2739837470%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2739837470&rft_id=info:pmid/36191097&rft_ieee_id=9907040&rfr_iscdi=true