Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE
Purpose We compared and analyzed the detectability performance pertaining to an abdominal phantom including a region of interest (ROI) according to a computed tomography (CT) reconstruction algorithm. Methods Three types of reconstruction algorithms (FBP, SAFIRE, and ADMIRE) were used to evaluate th...
Gespeichert in:
Veröffentlicht in: | Journal of applied clinical medical physics 2020-01, Vol.21 (1), p.136-143 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 143 |
---|---|
container_issue | 1 |
container_start_page | 136 |
container_title | Journal of applied clinical medical physics |
container_volume | 21 |
creator | Shin, Jun‐Bong Yoon, Do‐Kun Pak, Seongyong Kwon, Yang‐Ho Suh, Tae Suk |
description | Purpose
We compared and analyzed the detectability performance pertaining to an abdominal phantom including a region of interest (ROI) according to a computed tomography (CT) reconstruction algorithm.
Methods
Three types of reconstruction algorithms (FBP, SAFIRE, and ADMIRE) were used to evaluate the detectability performance using the abdominal phantom (phantom size: 25 × 18 × 28 cm3). The vendor default settings for routine multi‐detector computed tomography abdominal scans were used. As the quantitative evaluation method, the contrast‐to‐noise ratio (CNR), difference in coefficient of variation (COV) with the normalization based on the FBP data, and the noise power spectrum (NPS) were measured.
Results
The characteristic of the ADMIRE‐3 reconstructed image was higher than those of the FBP and SAFIRE‐3 reconstructed images. The CNR values of the SAFIRE and ADMIRE images were much higher than the corresponding values of the FBP images. The difference in COV values for the ADMIRE images was ~1.2 times lower than the corresponding values of the SAFIRE images.
Conclusion
The comparative analysis of the abdominal phantom low‐contrast resolution differences for each CT exposure parameters showed that ADMIRE demonstrated better results than SAFIRE and FBP in terms of contrast, CNR, COV difference, and 1D NPS. This indicates that ADMIRE can provide a clearer observation even with the same number of contrast objects as compared to SAFIRE and FBP owing to its better contrast resolution in the central part of the contrast hole at low kV. |
doi_str_mv | 10.1002/acm2.12765 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6964754</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2338983397</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4765-cac014d4f88667a0c5b758f8f3fff5b3c9f72065d158344218f2ee404a2f71c43</originalsourceid><addsrcrecordid>eNp9kV1rFDEUhoMotq7e-AMk4I0IW_M1MxkvhGWsutBSKPU6nMkkuykzkzHJVObfm3VrqV54lXDy8HDyvgi9puSMEsI-gB7YGWVVWTxBp7Rg5bquqXj66H6CXsR4Swilksvn6ITTitWSs1O0NH6YIEBydwZPJlgfBhi1wTBCv0QXcZ5gaDs_uDzB0x7G5Ad8fbXFnUlGJ2hd79KCQWsfOjfucPK4ucHBaD_GFGadnB8x9DsfXNoPH_Hm8-X2-vwlemahj-bV_blC37-c3zTf1hdXX7fN5mKtRf7RWoMmVHTCSlmWFRBdtFUhrbTcWlu0XNe2YqQsOlpILgSj0jJjBBHAbEW14Cv06eid5nYwnTZjCtCrKbgBwqI8OPX3y-j2aufvVFmXoioOgnf3guB_zCYmNbioTd_DaPwcFeO0IHUlcrYr9PYf9NbPIed2oLjMkfO6ytT7I6WDjzEY-7AMJerQqDo0qn43muE3j9d_QP9UmAF6BH663iz_UalNc8mO0l9on6zL</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2338983397</pqid></control><display><type>article</type><title>Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE</title><source>Wiley Online Library Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Shin, Jun‐Bong ; Yoon, Do‐Kun ; Pak, Seongyong ; Kwon, Yang‐Ho ; Suh, Tae Suk</creator><creatorcontrib>Shin, Jun‐Bong ; Yoon, Do‐Kun ; Pak, Seongyong ; Kwon, Yang‐Ho ; Suh, Tae Suk</creatorcontrib><description>Purpose
We compared and analyzed the detectability performance pertaining to an abdominal phantom including a region of interest (ROI) according to a computed tomography (CT) reconstruction algorithm.
Methods
Three types of reconstruction algorithms (FBP, SAFIRE, and ADMIRE) were used to evaluate the detectability performance using the abdominal phantom (phantom size: 25 × 18 × 28 cm3). The vendor default settings for routine multi‐detector computed tomography abdominal scans were used. As the quantitative evaluation method, the contrast‐to‐noise ratio (CNR), difference in coefficient of variation (COV) with the normalization based on the FBP data, and the noise power spectrum (NPS) were measured.
Results
The characteristic of the ADMIRE‐3 reconstructed image was higher than those of the FBP and SAFIRE‐3 reconstructed images. The CNR values of the SAFIRE and ADMIRE images were much higher than the corresponding values of the FBP images. The difference in COV values for the ADMIRE images was ~1.2 times lower than the corresponding values of the SAFIRE images.
Conclusion
The comparative analysis of the abdominal phantom low‐contrast resolution differences for each CT exposure parameters showed that ADMIRE demonstrated better results than SAFIRE and FBP in terms of contrast, CNR, COV difference, and 1D NPS. This indicates that ADMIRE can provide a clearer observation even with the same number of contrast objects as compared to SAFIRE and FBP owing to its better contrast resolution in the central part of the contrast hole at low kV.</description><identifier>ISSN: 1526-9914</identifier><identifier>EISSN: 1526-9914</identifier><identifier>DOI: 10.1002/acm2.12765</identifier><identifier>PMID: 31729832</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Abdomen ; abdomen phantom ; ADMIRE ; Algorithms ; Cysts ; FBP ; Liver ; MDCT ; Medical Imaging ; Metastasis ; Noise ; SAFIRE</subject><ispartof>Journal of applied clinical medical physics, 2020-01, Vol.21 (1), p.136-143</ispartof><rights>2019 The Authors. published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.</rights><rights>2019 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4765-cac014d4f88667a0c5b758f8f3fff5b3c9f72065d158344218f2ee404a2f71c43</citedby><cites>FETCH-LOGICAL-c4765-cac014d4f88667a0c5b758f8f3fff5b3c9f72065d158344218f2ee404a2f71c43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964754/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964754/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11541,27901,27902,45550,45551,46027,46451,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31729832$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shin, Jun‐Bong</creatorcontrib><creatorcontrib>Yoon, Do‐Kun</creatorcontrib><creatorcontrib>Pak, Seongyong</creatorcontrib><creatorcontrib>Kwon, Yang‐Ho</creatorcontrib><creatorcontrib>Suh, Tae Suk</creatorcontrib><title>Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE</title><title>Journal of applied clinical medical physics</title><addtitle>J Appl Clin Med Phys</addtitle><description>Purpose
We compared and analyzed the detectability performance pertaining to an abdominal phantom including a region of interest (ROI) according to a computed tomography (CT) reconstruction algorithm.
Methods
Three types of reconstruction algorithms (FBP, SAFIRE, and ADMIRE) were used to evaluate the detectability performance using the abdominal phantom (phantom size: 25 × 18 × 28 cm3). The vendor default settings for routine multi‐detector computed tomography abdominal scans were used. As the quantitative evaluation method, the contrast‐to‐noise ratio (CNR), difference in coefficient of variation (COV) with the normalization based on the FBP data, and the noise power spectrum (NPS) were measured.
Results
The characteristic of the ADMIRE‐3 reconstructed image was higher than those of the FBP and SAFIRE‐3 reconstructed images. The CNR values of the SAFIRE and ADMIRE images were much higher than the corresponding values of the FBP images. The difference in COV values for the ADMIRE images was ~1.2 times lower than the corresponding values of the SAFIRE images.
Conclusion
The comparative analysis of the abdominal phantom low‐contrast resolution differences for each CT exposure parameters showed that ADMIRE demonstrated better results than SAFIRE and FBP in terms of contrast, CNR, COV difference, and 1D NPS. This indicates that ADMIRE can provide a clearer observation even with the same number of contrast objects as compared to SAFIRE and FBP owing to its better contrast resolution in the central part of the contrast hole at low kV.</description><subject>Abdomen</subject><subject>abdomen phantom</subject><subject>ADMIRE</subject><subject>Algorithms</subject><subject>Cysts</subject><subject>FBP</subject><subject>Liver</subject><subject>MDCT</subject><subject>Medical Imaging</subject><subject>Metastasis</subject><subject>Noise</subject><subject>SAFIRE</subject><issn>1526-9914</issn><issn>1526-9914</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kV1rFDEUhoMotq7e-AMk4I0IW_M1MxkvhGWsutBSKPU6nMkkuykzkzHJVObfm3VrqV54lXDy8HDyvgi9puSMEsI-gB7YGWVVWTxBp7Rg5bquqXj66H6CXsR4Swilksvn6ITTitWSs1O0NH6YIEBydwZPJlgfBhi1wTBCv0QXcZ5gaDs_uDzB0x7G5Ad8fbXFnUlGJ2hd79KCQWsfOjfucPK4ucHBaD_GFGadnB8x9DsfXNoPH_Hm8-X2-vwlemahj-bV_blC37-c3zTf1hdXX7fN5mKtRf7RWoMmVHTCSlmWFRBdtFUhrbTcWlu0XNe2YqQsOlpILgSj0jJjBBHAbEW14Cv06eid5nYwnTZjCtCrKbgBwqI8OPX3y-j2aufvVFmXoioOgnf3guB_zCYmNbioTd_DaPwcFeO0IHUlcrYr9PYf9NbPIed2oLjMkfO6ytT7I6WDjzEY-7AMJerQqDo0qn43muE3j9d_QP9UmAF6BH663iz_UalNc8mO0l9on6zL</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Shin, Jun‐Bong</creator><creator>Yoon, Do‐Kun</creator><creator>Pak, Seongyong</creator><creator>Kwon, Yang‐Ho</creator><creator>Suh, Tae Suk</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M2P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202001</creationdate><title>Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE</title><author>Shin, Jun‐Bong ; Yoon, Do‐Kun ; Pak, Seongyong ; Kwon, Yang‐Ho ; Suh, Tae Suk</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4765-cac014d4f88667a0c5b758f8f3fff5b3c9f72065d158344218f2ee404a2f71c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abdomen</topic><topic>abdomen phantom</topic><topic>ADMIRE</topic><topic>Algorithms</topic><topic>Cysts</topic><topic>FBP</topic><topic>Liver</topic><topic>MDCT</topic><topic>Medical Imaging</topic><topic>Metastasis</topic><topic>Noise</topic><topic>SAFIRE</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shin, Jun‐Bong</creatorcontrib><creatorcontrib>Yoon, Do‐Kun</creatorcontrib><creatorcontrib>Pak, Seongyong</creatorcontrib><creatorcontrib>Kwon, Yang‐Ho</creatorcontrib><creatorcontrib>Suh, Tae Suk</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of applied clinical medical physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shin, Jun‐Bong</au><au>Yoon, Do‐Kun</au><au>Pak, Seongyong</au><au>Kwon, Yang‐Ho</au><au>Suh, Tae Suk</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE</atitle><jtitle>Journal of applied clinical medical physics</jtitle><addtitle>J Appl Clin Med Phys</addtitle><date>2020-01</date><risdate>2020</risdate><volume>21</volume><issue>1</issue><spage>136</spage><epage>143</epage><pages>136-143</pages><issn>1526-9914</issn><eissn>1526-9914</eissn><abstract>Purpose
We compared and analyzed the detectability performance pertaining to an abdominal phantom including a region of interest (ROI) according to a computed tomography (CT) reconstruction algorithm.
Methods
Three types of reconstruction algorithms (FBP, SAFIRE, and ADMIRE) were used to evaluate the detectability performance using the abdominal phantom (phantom size: 25 × 18 × 28 cm3). The vendor default settings for routine multi‐detector computed tomography abdominal scans were used. As the quantitative evaluation method, the contrast‐to‐noise ratio (CNR), difference in coefficient of variation (COV) with the normalization based on the FBP data, and the noise power spectrum (NPS) were measured.
Results
The characteristic of the ADMIRE‐3 reconstructed image was higher than those of the FBP and SAFIRE‐3 reconstructed images. The CNR values of the SAFIRE and ADMIRE images were much higher than the corresponding values of the FBP images. The difference in COV values for the ADMIRE images was ~1.2 times lower than the corresponding values of the SAFIRE images.
Conclusion
The comparative analysis of the abdominal phantom low‐contrast resolution differences for each CT exposure parameters showed that ADMIRE demonstrated better results than SAFIRE and FBP in terms of contrast, CNR, COV difference, and 1D NPS. This indicates that ADMIRE can provide a clearer observation even with the same number of contrast objects as compared to SAFIRE and FBP owing to its better contrast resolution in the central part of the contrast hole at low kV.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>31729832</pmid><doi>10.1002/acm2.12765</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1526-9914 |
ispartof | Journal of applied clinical medical physics, 2020-01, Vol.21 (1), p.136-143 |
issn | 1526-9914 1526-9914 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6964754 |
source | Wiley Online Library Open Access; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Abdomen abdomen phantom ADMIRE Algorithms Cysts FBP Liver MDCT Medical Imaging Metastasis Noise SAFIRE |
title | Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T06%3A46%3A04IST&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=Comparative%20performance%20analysis%20for%20abdominal%20phantom%20ROI%20detectability%20according%20to%20CT%20reconstruction%20algorithm:%20ADMIRE&rft.jtitle=Journal%20of%20applied%20clinical%20medical%20physics&rft.au=Shin,%20Jun%E2%80%90Bong&rft.date=2020-01&rft.volume=21&rft.issue=1&rft.spage=136&rft.epage=143&rft.pages=136-143&rft.issn=1526-9914&rft.eissn=1526-9914&rft_id=info:doi/10.1002/acm2.12765&rft_dat=%3Cproquest_pubme%3E2338983397%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=2338983397&rft_id=info:pmid/31729832&rfr_iscdi=true |