Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI
The high spatial and temporal resolution of dynamic contrast-enhanced MRI (DCE-MRI) can improve the diagnostic accuracy of breast cancer screening in patients who have dense breasts or are at high risk of breast cancer. However, the spatiotemporal resolution of DCE-MRI is limited by technical issues...
Gespeichert in:
| Veröffentlicht in: | PloS one 2023-06, Vol.18 (6), p.e0286123-e0286123 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0286123 |
|---|---|
| container_issue | 6 |
| container_start_page | e0286123 |
| container_title | PloS one |
| container_volume | 18 |
| creator | Ren, Zhen Easley, Ty O Pineda, Federico D Guo, Xiaodong Barber, Rina F Karczmar, Gregory S |
| description | The high spatial and temporal resolution of dynamic contrast-enhanced MRI (DCE-MRI) can improve the diagnostic accuracy of breast cancer screening in patients who have dense breasts or are at high risk of breast cancer. However, the spatiotemporal resolution of DCE-MRI is limited by technical issues in clinical practice. Our earlier work demonstrated the use of image reconstruction with enhancement-constrained acceleration (ECA) to increase temporal resolution. ECA exploits the correlation in k-space between successive image acquisitions. Because of this correlation, and due to the very sparse enhancement at early times after contrast media injection, we can reconstruct images from highly under-sampled k-space data. Our previous results showed that ECA reconstruction at 0.25 seconds per image (4 Hz) can estimate bolus arrival time (BAT) and initial enhancement slope (iSlope) more accurately than a standard inverse fast Fourier transform (IFFT) when k-space data is sampled following a Cartesian based sampling trajectory with adequate signal-to-noise ratio (SNR). In this follow-up study, we investigated the effect of different Cartesian based sampling trajectories, SNRs and acceleration rates on the performance of ECA reconstruction in estimating contrast media kinetics in lesions (BAT, iSlope and Ktrans) and in arteries (Peak signal intensity of first pass, time to peak, and BAT). We further validated ECA reconstruction with a flow phantom experiment. Our results show that ECA reconstruction of k-space data acquired with 'Under-sampling with Repeated Advancing Phase' (UnWRAP) trajectories with an acceleration factor of 14, and temporal resolution of 0.5 s/image and high SNR (SNR ≥ 30 dB, noise standard deviation (std) < 3%) ensures minor errors (5% or 1 s error) in lesion kinetics. Medium SNR (SNR ≥ 20 dB, noise std ≤ 10%) was needed to accurately measure arterial enhancement kinetics. Our results also suggest that accelerated temporal resolution with ECA with 0.5 s/image is practical. |
| doi_str_mv | 10.1371/journal.pone.0286123 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2826187452</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A753093959</galeid><doaj_id>oai_doaj_org_article_9e18e28c71eb4fd8a763761ef66ce3db</doaj_id><sourcerecordid>A753093959</sourcerecordid><originalsourceid>FETCH-LOGICAL-c504t-6765c4600c821855d9252880ffe2d9afb3f7bd883dbea8f82db65fdfaecc1f703</originalsourceid><addsrcrecordid>eNptkktv1DAUhSMEoqXwDxBEYlMWGfyIH1mh0TDASEUgBGvLca5nMiT21E6QuuaP48ykVYtY2bK_e-69RyfLXmK0wFTgd3s_Bqe7xcE7WCAiOSb0UXaOK0oKThB9fO9-lj2LcY8Qo5Lzp9kZFRRXRLDz7M-3nQ69Nv5X62BoTb5Mmjexjbm3-drttDPQgxuKlXdxCDpRTb40BjoIemi9yy_Xq-XbPIA5AqOZHotax8Tt2u0uH6A_-KC7hETfjceaOoCOQ_5htS6-fN88z55Y3UV4MZ8X2c-P6x-rz8XV10-b1fKqMAyVQ8EFZ6bkCBlJsGSsqQgjUiJrgTSVtjW1om6kpE0NWlpJmpoz21gNxmArEL3IXp90D52PavYvKiIJx1KUjCRicyIar_fqENpehxvldauODz5slQ7JpQ5UBVgCkUZgqEvbSC04FRyD5dxAGiFpvZ-7jXUPjUkmJhceiD78ce1Obf1vhRERiMlpmstZIfjrEeKg-jYm5zvtwI_HwQVhTEqR0Df_oP9fb6a2Om3QOutTYzOJqqVgFFW0YlWiyhNlgo8xgL2bGSM1Re9WW03RU3P0Utmr-_veFd1mjf4F1c_Y_w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2826187452</pqid></control><display><type>article</type><title>Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Ren, Zhen ; Easley, Ty O ; Pineda, Federico D ; Guo, Xiaodong ; Barber, Rina F ; Karczmar, Gregory S</creator><creatorcontrib>Ren, Zhen ; Easley, Ty O ; Pineda, Federico D ; Guo, Xiaodong ; Barber, Rina F ; Karczmar, Gregory S</creatorcontrib><description>The high spatial and temporal resolution of dynamic contrast-enhanced MRI (DCE-MRI) can improve the diagnostic accuracy of breast cancer screening in patients who have dense breasts or are at high risk of breast cancer. However, the spatiotemporal resolution of DCE-MRI is limited by technical issues in clinical practice. Our earlier work demonstrated the use of image reconstruction with enhancement-constrained acceleration (ECA) to increase temporal resolution. ECA exploits the correlation in k-space between successive image acquisitions. Because of this correlation, and due to the very sparse enhancement at early times after contrast media injection, we can reconstruct images from highly under-sampled k-space data. Our previous results showed that ECA reconstruction at 0.25 seconds per image (4 Hz) can estimate bolus arrival time (BAT) and initial enhancement slope (iSlope) more accurately than a standard inverse fast Fourier transform (IFFT) when k-space data is sampled following a Cartesian based sampling trajectory with adequate signal-to-noise ratio (SNR). In this follow-up study, we investigated the effect of different Cartesian based sampling trajectories, SNRs and acceleration rates on the performance of ECA reconstruction in estimating contrast media kinetics in lesions (BAT, iSlope and Ktrans) and in arteries (Peak signal intensity of first pass, time to peak, and BAT). We further validated ECA reconstruction with a flow phantom experiment. Our results show that ECA reconstruction of k-space data acquired with 'Under-sampling with Repeated Advancing Phase' (UnWRAP) trajectories with an acceleration factor of 14, and temporal resolution of 0.5 s/image and high SNR (SNR ≥ 30 dB, noise standard deviation (std) < 3%) ensures minor errors (5% or 1 s error) in lesion kinetics. Medium SNR (SNR ≥ 20 dB, noise std ≤ 10%) was needed to accurately measure arterial enhancement kinetics. Our results also suggest that accelerated temporal resolution with ECA with 0.5 s/image is practical.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0286123</identifier><identifier>PMID: 37319275</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Arteries ; Biology and Life Sciences ; Breast - diagnostic imaging ; Breast cancer ; Breast Neoplasms - diagnostic imaging ; Cancer ; Cancer screening ; Cartesian coordinates ; Contrast agents ; Contrast media ; Contrast Media - pharmacokinetics ; Correlation ; Data acquisition ; Diagnosis ; Evaluation ; Fast Fourier transformations ; Female ; Follow-Up Studies ; Fourier transforms ; Health risks ; Humans ; Image acquisition ; Image contrast ; Image enhancement ; Image Enhancement - methods ; Image processing ; Image reconstruction ; Kinetics ; Lesions ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Medical imaging ; Medicine and Health Sciences ; Methods ; Noise levels ; Noise standards ; Pharmacokinetics ; Physical Sciences ; Research and Analysis Methods ; Sampling ; Signal to noise ratio ; Temporal resolution ; Veins & arteries</subject><ispartof>PloS one, 2023-06, Vol.18 (6), p.e0286123-e0286123</ispartof><rights>Copyright: © 2023 Ren et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Ren et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Ren et al 2023 Ren et al</rights><rights>2023 Ren et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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><cites>FETCH-LOGICAL-c504t-6765c4600c821855d9252880ffe2d9afb3f7bd883dbea8f82db65fdfaecc1f703</cites><orcidid>0000-0002-8215-2598 ; 0000-0002-2262-4880</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270582/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270582/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37319275$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ren, Zhen</creatorcontrib><creatorcontrib>Easley, Ty O</creatorcontrib><creatorcontrib>Pineda, Federico D</creatorcontrib><creatorcontrib>Guo, Xiaodong</creatorcontrib><creatorcontrib>Barber, Rina F</creatorcontrib><creatorcontrib>Karczmar, Gregory S</creatorcontrib><title>Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The high spatial and temporal resolution of dynamic contrast-enhanced MRI (DCE-MRI) can improve the diagnostic accuracy of breast cancer screening in patients who have dense breasts or are at high risk of breast cancer. However, the spatiotemporal resolution of DCE-MRI is limited by technical issues in clinical practice. Our earlier work demonstrated the use of image reconstruction with enhancement-constrained acceleration (ECA) to increase temporal resolution. ECA exploits the correlation in k-space between successive image acquisitions. Because of this correlation, and due to the very sparse enhancement at early times after contrast media injection, we can reconstruct images from highly under-sampled k-space data. Our previous results showed that ECA reconstruction at 0.25 seconds per image (4 Hz) can estimate bolus arrival time (BAT) and initial enhancement slope (iSlope) more accurately than a standard inverse fast Fourier transform (IFFT) when k-space data is sampled following a Cartesian based sampling trajectory with adequate signal-to-noise ratio (SNR). In this follow-up study, we investigated the effect of different Cartesian based sampling trajectories, SNRs and acceleration rates on the performance of ECA reconstruction in estimating contrast media kinetics in lesions (BAT, iSlope and Ktrans) and in arteries (Peak signal intensity of first pass, time to peak, and BAT). We further validated ECA reconstruction with a flow phantom experiment. Our results show that ECA reconstruction of k-space data acquired with 'Under-sampling with Repeated Advancing Phase' (UnWRAP) trajectories with an acceleration factor of 14, and temporal resolution of 0.5 s/image and high SNR (SNR ≥ 30 dB, noise standard deviation (std) < 3%) ensures minor errors (5% or 1 s error) in lesion kinetics. Medium SNR (SNR ≥ 20 dB, noise std ≤ 10%) was needed to accurately measure arterial enhancement kinetics. Our results also suggest that accelerated temporal resolution with ECA with 0.5 s/image is practical.</description><subject>Analysis</subject><subject>Arteries</subject><subject>Biology and Life Sciences</subject><subject>Breast - diagnostic imaging</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Cancer</subject><subject>Cancer screening</subject><subject>Cartesian coordinates</subject><subject>Contrast agents</subject><subject>Contrast media</subject><subject>Contrast Media - pharmacokinetics</subject><subject>Correlation</subject><subject>Data acquisition</subject><subject>Diagnosis</subject><subject>Evaluation</subject><subject>Fast Fourier transformations</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Fourier transforms</subject><subject>Health risks</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image contrast</subject><subject>Image enhancement</subject><subject>Image Enhancement - methods</subject><subject>Image processing</subject><subject>Image reconstruction</subject><subject>Kinetics</subject><subject>Lesions</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Noise levels</subject><subject>Noise standards</subject><subject>Pharmacokinetics</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Sampling</subject><subject>Signal to noise ratio</subject><subject>Temporal resolution</subject><subject>Veins & arteries</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptkktv1DAUhSMEoqXwDxBEYlMWGfyIH1mh0TDASEUgBGvLca5nMiT21E6QuuaP48ykVYtY2bK_e-69RyfLXmK0wFTgd3s_Bqe7xcE7WCAiOSb0UXaOK0oKThB9fO9-lj2LcY8Qo5Lzp9kZFRRXRLDz7M-3nQ69Nv5X62BoTb5Mmjexjbm3-drttDPQgxuKlXdxCDpRTb40BjoIemi9yy_Xq-XbPIA5AqOZHotax8Tt2u0uH6A_-KC7hETfjceaOoCOQ_5htS6-fN88z55Y3UV4MZ8X2c-P6x-rz8XV10-b1fKqMAyVQ8EFZ6bkCBlJsGSsqQgjUiJrgTSVtjW1om6kpE0NWlpJmpoz21gNxmArEL3IXp90D52PavYvKiIJx1KUjCRicyIar_fqENpehxvldauODz5slQ7JpQ5UBVgCkUZgqEvbSC04FRyD5dxAGiFpvZ-7jXUPjUkmJhceiD78ce1Obf1vhRERiMlpmstZIfjrEeKg-jYm5zvtwI_HwQVhTEqR0Df_oP9fb6a2Om3QOutTYzOJqqVgFFW0YlWiyhNlgo8xgL2bGSM1Re9WW03RU3P0Utmr-_veFd1mjf4F1c_Y_w</recordid><startdate>20230615</startdate><enddate>20230615</enddate><creator>Ren, Zhen</creator><creator>Easley, Ty O</creator><creator>Pineda, Federico D</creator><creator>Guo, Xiaodong</creator><creator>Barber, Rina F</creator><creator>Karczmar, Gregory S</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8215-2598</orcidid><orcidid>https://orcid.org/0000-0002-2262-4880</orcidid></search><sort><creationdate>20230615</creationdate><title>Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI</title><author>Ren, Zhen ; Easley, Ty O ; Pineda, Federico D ; Guo, Xiaodong ; Barber, Rina F ; Karczmar, Gregory S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-6765c4600c821855d9252880ffe2d9afb3f7bd883dbea8f82db65fdfaecc1f703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Arteries</topic><topic>Biology and Life Sciences</topic><topic>Breast - diagnostic imaging</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Cancer</topic><topic>Cancer screening</topic><topic>Cartesian coordinates</topic><topic>Contrast agents</topic><topic>Contrast media</topic><topic>Contrast Media - pharmacokinetics</topic><topic>Correlation</topic><topic>Data acquisition</topic><topic>Diagnosis</topic><topic>Evaluation</topic><topic>Fast Fourier transformations</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Fourier transforms</topic><topic>Health risks</topic><topic>Humans</topic><topic>Image acquisition</topic><topic>Image contrast</topic><topic>Image enhancement</topic><topic>Image Enhancement - methods</topic><topic>Image processing</topic><topic>Image reconstruction</topic><topic>Kinetics</topic><topic>Lesions</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Noise levels</topic><topic>Noise standards</topic><topic>Pharmacokinetics</topic><topic>Physical Sciences</topic><topic>Research and Analysis Methods</topic><topic>Sampling</topic><topic>Signal to noise ratio</topic><topic>Temporal resolution</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ren, Zhen</creatorcontrib><creatorcontrib>Easley, Ty O</creatorcontrib><creatorcontrib>Pineda, Federico D</creatorcontrib><creatorcontrib>Guo, Xiaodong</creatorcontrib><creatorcontrib>Barber, Rina F</creatorcontrib><creatorcontrib>Karczmar, Gregory S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ren, Zhen</au><au>Easley, Ty O</au><au>Pineda, Federico D</au><au>Guo, Xiaodong</au><au>Barber, Rina F</au><au>Karczmar, Gregory S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-06-15</date><risdate>2023</risdate><volume>18</volume><issue>6</issue><spage>e0286123</spage><epage>e0286123</epage><pages>e0286123-e0286123</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The high spatial and temporal resolution of dynamic contrast-enhanced MRI (DCE-MRI) can improve the diagnostic accuracy of breast cancer screening in patients who have dense breasts or are at high risk of breast cancer. However, the spatiotemporal resolution of DCE-MRI is limited by technical issues in clinical practice. Our earlier work demonstrated the use of image reconstruction with enhancement-constrained acceleration (ECA) to increase temporal resolution. ECA exploits the correlation in k-space between successive image acquisitions. Because of this correlation, and due to the very sparse enhancement at early times after contrast media injection, we can reconstruct images from highly under-sampled k-space data. Our previous results showed that ECA reconstruction at 0.25 seconds per image (4 Hz) can estimate bolus arrival time (BAT) and initial enhancement slope (iSlope) more accurately than a standard inverse fast Fourier transform (IFFT) when k-space data is sampled following a Cartesian based sampling trajectory with adequate signal-to-noise ratio (SNR). In this follow-up study, we investigated the effect of different Cartesian based sampling trajectories, SNRs and acceleration rates on the performance of ECA reconstruction in estimating contrast media kinetics in lesions (BAT, iSlope and Ktrans) and in arteries (Peak signal intensity of first pass, time to peak, and BAT). We further validated ECA reconstruction with a flow phantom experiment. Our results show that ECA reconstruction of k-space data acquired with 'Under-sampling with Repeated Advancing Phase' (UnWRAP) trajectories with an acceleration factor of 14, and temporal resolution of 0.5 s/image and high SNR (SNR ≥ 30 dB, noise standard deviation (std) < 3%) ensures minor errors (5% or 1 s error) in lesion kinetics. Medium SNR (SNR ≥ 20 dB, noise std ≤ 10%) was needed to accurately measure arterial enhancement kinetics. Our results also suggest that accelerated temporal resolution with ECA with 0.5 s/image is practical.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37319275</pmid><doi>10.1371/journal.pone.0286123</doi><orcidid>https://orcid.org/0000-0002-8215-2598</orcidid><orcidid>https://orcid.org/0000-0002-2262-4880</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2023-06, Vol.18 (6), p.e0286123-e0286123 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2826187452 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Analysis Arteries Biology and Life Sciences Breast - diagnostic imaging Breast cancer Breast Neoplasms - diagnostic imaging Cancer Cancer screening Cartesian coordinates Contrast agents Contrast media Contrast Media - pharmacokinetics Correlation Data acquisition Diagnosis Evaluation Fast Fourier transformations Female Follow-Up Studies Fourier transforms Health risks Humans Image acquisition Image contrast Image enhancement Image Enhancement - methods Image processing Image reconstruction Kinetics Lesions Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Medicine and Health Sciences Methods Noise levels Noise standards Pharmacokinetics Physical Sciences Research and Analysis Methods Sampling Signal to noise ratio Temporal resolution Veins & arteries |
| title | Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T00%3A40%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Pharmacokinetic%20Analysis%20of%20Enhancement-Constrained%20Acceleration%20(ECA)%20reconstruction-based%20high%20temporal%20resolution%20breast%20DCE-MRI&rft.jtitle=PloS%20one&rft.au=Ren,%20Zhen&rft.date=2023-06-15&rft.volume=18&rft.issue=6&rft.spage=e0286123&rft.epage=e0286123&rft.pages=e0286123-e0286123&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0286123&rft_dat=%3Cgale_plos_%3EA753093959%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2826187452&rft_id=info:pmid/37319275&rft_galeid=A753093959&rft_doaj_id=oai_doaj_org_article_9e18e28c71eb4fd8a763761ef66ce3db&rfr_iscdi=true |