Dynamic contrast enhanced MRI of the head and neck region using a VIBE sequence with Cartesian undersampling and compressed sensing
Compressed sensing allows for image reconstruction from sparsely sampled k-space data, which is particularly useful in dynamic contrast enhanced MRI (DCE-MRI). The aim of the study was to assess the diagnostic value of a volume-interpolated 3D T1-weighted spoiled gradient-echo sequence with variable...
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creator | Kubicka, F. Nitschke, L. Penzkofer, T. Tan, Q. Nickel, M.D. Wakonig, K.M. Fahlenkamp, U.L. Lerchbaumer, M. Michallek, F. Dommerich, S. Hamm, B. Wagner, M. Walter-Rittel, T. |
description | Compressed sensing allows for image reconstruction from sparsely sampled k-space data, which is particularly useful in dynamic contrast enhanced MRI (DCE-MRI). The aim of the study was to assess the diagnostic value of a volume-interpolated 3D T1-weighted spoiled gradient-echo sequence with variable density Cartesian undersampling and compressed sensing (CS) for head and neck MRI.
Seventy-one patients with clinical indications for head and neck MRI were included in this study. DCE-MRI was performed at 3 Tesla magnet using CS-VIBE (variable density undersampling, temporal resolution 3.4 s, slice thickness 1 mm). Image quality was compared to standard Cartesian VIBE. Three experienced readers independently evaluated image quality and lesion conspicuity on a 5-point Likert scale and determined the DCE-derived time intensity curve (TIC) types.
CS-VIBE demonstrated higher image quality scores compared to standard VIBE with respect to overall image quality (4.3 ± 0.6 vs. 4.2 ± 0.7, p = 0.682), vessel contour (4.6 ± 0.4 vs. 4.4 ± 0.6, p |
doi_str_mv | 10.1016/j.mri.2024.110220 |
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Seventy-one patients with clinical indications for head and neck MRI were included in this study. DCE-MRI was performed at 3 Tesla magnet using CS-VIBE (variable density undersampling, temporal resolution 3.4 s, slice thickness 1 mm). Image quality was compared to standard Cartesian VIBE. Three experienced readers independently evaluated image quality and lesion conspicuity on a 5-point Likert scale and determined the DCE-derived time intensity curve (TIC) types.
CS-VIBE demonstrated higher image quality scores compared to standard VIBE with respect to overall image quality (4.3 ± 0.6 vs. 4.2 ± 0.7, p = 0.682), vessel contour (4.6 ± 0.4 vs. 4.4 ± 0.6, p < 0.001), muscle contour (4.4 ± 0.5 vs. 4.5 ± 0.6, p = 0.302), lesion conspicuity (4.5 ± 0.7 vs. 4.3 ± 0.9, p = 0.024) and showed improved fat saturation (4.8 ± 0.3 vs. 3.8 ± 0.4, p < 0.001) and movement artifacts were significantly reduced (4.6 ± 0.6 vs. 3.7 ± 0.7, p < 0.001). Standard VIBE outperformed CS-VIBE in the delineation of pharyngeal mucosa (4.2 ± 0.5 vs. 4.6 ± 0.6, p < 0.001). Lesion size in cases where a focal lesion was identified was similar for all readers for CS-VIBE and standard VIBE (p = 0.101). TIC curve assessment showed good interobserver agreement (k=0.717).
CS-VIBE with variable density Cartesian undersampling allows for DCE-MRI of the head and neck region with diagnostic, high image quality and high temporal resolution.
•CS-VIBE provides excellent overall image quality, similar to that of a standard VIBE sequence in head and neck imaging.•CS-VIBE shows superior lesion conspicuity, vessel contour, reduced motion and metal artifacts, and improves fat saturation.•CS-VIBE allows for robust perfusion analysis of head and neck lesions using time-intensity curves.</description><identifier>ISSN: 0730-725X</identifier><identifier>ISSN: 1873-5894</identifier><identifier>EISSN: 1873-5894</identifier><identifier>DOI: 10.1016/j.mri.2024.110220</identifier><identifier>PMID: 39173963</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Compressed sensing ; Contrast Media ; Data Compression - methods ; Dynamic contrat enhanced MRI ; Female ; Head - diagnostic imaging ; Head and neck ; Head and Neck Neoplasms - diagnostic imaging ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image Processing, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; MRI ; Neck - diagnostic imaging ; Reproducibility of Results ; Young Adult</subject><ispartof>Magnetic resonance imaging, 2024-11, Vol.113, p.110220, Article 110220</ispartof><rights>2024 The Authors</rights><rights>Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c278t-3d1522efd04a5cbc272ac9d43cce5032256028ec4d24c9433d2845056eabac4f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0730725X24002017$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39173963$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kubicka, F.</creatorcontrib><creatorcontrib>Nitschke, L.</creatorcontrib><creatorcontrib>Penzkofer, T.</creatorcontrib><creatorcontrib>Tan, Q.</creatorcontrib><creatorcontrib>Nickel, M.D.</creatorcontrib><creatorcontrib>Wakonig, K.M.</creatorcontrib><creatorcontrib>Fahlenkamp, U.L.</creatorcontrib><creatorcontrib>Lerchbaumer, M.</creatorcontrib><creatorcontrib>Michallek, F.</creatorcontrib><creatorcontrib>Dommerich, S.</creatorcontrib><creatorcontrib>Hamm, B.</creatorcontrib><creatorcontrib>Wagner, M.</creatorcontrib><creatorcontrib>Walter-Rittel, T.</creatorcontrib><title>Dynamic contrast enhanced MRI of the head and neck region using a VIBE sequence with Cartesian undersampling and compressed sensing</title><title>Magnetic resonance imaging</title><addtitle>Magn Reson Imaging</addtitle><description>Compressed sensing allows for image reconstruction from sparsely sampled k-space data, which is particularly useful in dynamic contrast enhanced MRI (DCE-MRI). The aim of the study was to assess the diagnostic value of a volume-interpolated 3D T1-weighted spoiled gradient-echo sequence with variable density Cartesian undersampling and compressed sensing (CS) for head and neck MRI.
Seventy-one patients with clinical indications for head and neck MRI were included in this study. DCE-MRI was performed at 3 Tesla magnet using CS-VIBE (variable density undersampling, temporal resolution 3.4 s, slice thickness 1 mm). Image quality was compared to standard Cartesian VIBE. Three experienced readers independently evaluated image quality and lesion conspicuity on a 5-point Likert scale and determined the DCE-derived time intensity curve (TIC) types.
CS-VIBE demonstrated higher image quality scores compared to standard VIBE with respect to overall image quality (4.3 ± 0.6 vs. 4.2 ± 0.7, p = 0.682), vessel contour (4.6 ± 0.4 vs. 4.4 ± 0.6, p < 0.001), muscle contour (4.4 ± 0.5 vs. 4.5 ± 0.6, p = 0.302), lesion conspicuity (4.5 ± 0.7 vs. 4.3 ± 0.9, p = 0.024) and showed improved fat saturation (4.8 ± 0.3 vs. 3.8 ± 0.4, p < 0.001) and movement artifacts were significantly reduced (4.6 ± 0.6 vs. 3.7 ± 0.7, p < 0.001). Standard VIBE outperformed CS-VIBE in the delineation of pharyngeal mucosa (4.2 ± 0.5 vs. 4.6 ± 0.6, p < 0.001). Lesion size in cases where a focal lesion was identified was similar for all readers for CS-VIBE and standard VIBE (p = 0.101). TIC curve assessment showed good interobserver agreement (k=0.717).
CS-VIBE with variable density Cartesian undersampling allows for DCE-MRI of the head and neck region with diagnostic, high image quality and high temporal resolution.
•CS-VIBE provides excellent overall image quality, similar to that of a standard VIBE sequence in head and neck imaging.•CS-VIBE shows superior lesion conspicuity, vessel contour, reduced motion and metal artifacts, and improves fat saturation.•CS-VIBE allows for robust perfusion analysis of head and neck lesions using time-intensity curves.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Compressed sensing</subject><subject>Contrast Media</subject><subject>Data Compression - methods</subject><subject>Dynamic contrat enhanced MRI</subject><subject>Female</subject><subject>Head - diagnostic imaging</subject><subject>Head and neck</subject><subject>Head and Neck Neoplasms - diagnostic imaging</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>MRI</subject><subject>Neck - diagnostic imaging</subject><subject>Reproducibility of Results</subject><subject>Young Adult</subject><issn>0730-725X</issn><issn>1873-5894</issn><issn>1873-5894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1vEzEQhi1ERdPCD-CCfOSywZ_7IU4QSonUCgkB4mY549nGIetNPRtQz_xxnKblyMnS6Hnf8TyMvZRiLoWs32zmQ45zJZSZSymUEk_YTLaNrmzbmadsJhotqkbZH6fsjGgjhLBK22fsVHey0V2tZ-zPh7vkhwgcxjRlTxPHtPYJMPDrL0s-9nxaI1-jD9ynwBPCT57xJo6J7ymmG-759-X7C054u8cS47_jtOYLnyek6AuUAmbyw257D5cKGIddRqKygTAdOp6zk95vCV88vOfs28eLr4tP1dXny-Xi3VUFqmmnSgdplcI-COMtrMpQeeiC0QBohVbK1kK1CCYoA53ROqjWWGFr9CsPptfn7PWxd5fH8lua3BAJcLv1Ccc9OS26WjVd8VlQeUQhj0QZe7fLcfD5zknhDu7dxhX37uDeHd2XzKuH-v1qwPAv8Si7AG-PAJYjf0XMjiAepIWYESYXxvif-r883ZWB</recordid><startdate>202411</startdate><enddate>202411</enddate><creator>Kubicka, F.</creator><creator>Nitschke, L.</creator><creator>Penzkofer, T.</creator><creator>Tan, Q.</creator><creator>Nickel, M.D.</creator><creator>Wakonig, K.M.</creator><creator>Fahlenkamp, U.L.</creator><creator>Lerchbaumer, M.</creator><creator>Michallek, F.</creator><creator>Dommerich, S.</creator><creator>Hamm, B.</creator><creator>Wagner, M.</creator><creator>Walter-Rittel, T.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</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>7X8</scope></search><sort><creationdate>202411</creationdate><title>Dynamic contrast enhanced MRI of the head and neck region using a VIBE sequence with Cartesian undersampling and compressed sensing</title><author>Kubicka, F. ; Nitschke, L. ; Penzkofer, T. ; Tan, Q. ; Nickel, M.D. ; Wakonig, K.M. ; Fahlenkamp, U.L. ; Lerchbaumer, M. ; Michallek, F. ; Dommerich, S. ; Hamm, B. ; Wagner, M. ; Walter-Rittel, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c278t-3d1522efd04a5cbc272ac9d43cce5032256028ec4d24c9433d2845056eabac4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Compressed sensing</topic><topic>Contrast Media</topic><topic>Data Compression - methods</topic><topic>Dynamic contrat enhanced MRI</topic><topic>Female</topic><topic>Head - diagnostic imaging</topic><topic>Head and neck</topic><topic>Head and Neck Neoplasms - diagnostic imaging</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>MRI</topic><topic>Neck - diagnostic imaging</topic><topic>Reproducibility of Results</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kubicka, F.</creatorcontrib><creatorcontrib>Nitschke, L.</creatorcontrib><creatorcontrib>Penzkofer, T.</creatorcontrib><creatorcontrib>Tan, Q.</creatorcontrib><creatorcontrib>Nickel, M.D.</creatorcontrib><creatorcontrib>Wakonig, K.M.</creatorcontrib><creatorcontrib>Fahlenkamp, U.L.</creatorcontrib><creatorcontrib>Lerchbaumer, M.</creatorcontrib><creatorcontrib>Michallek, F.</creatorcontrib><creatorcontrib>Dommerich, S.</creatorcontrib><creatorcontrib>Hamm, B.</creatorcontrib><creatorcontrib>Wagner, M.</creatorcontrib><creatorcontrib>Walter-Rittel, T.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kubicka, F.</au><au>Nitschke, L.</au><au>Penzkofer, T.</au><au>Tan, Q.</au><au>Nickel, M.D.</au><au>Wakonig, K.M.</au><au>Fahlenkamp, U.L.</au><au>Lerchbaumer, M.</au><au>Michallek, F.</au><au>Dommerich, S.</au><au>Hamm, B.</au><au>Wagner, M.</au><au>Walter-Rittel, T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic contrast enhanced MRI of the head and neck region using a VIBE sequence with Cartesian undersampling and compressed sensing</atitle><jtitle>Magnetic resonance imaging</jtitle><addtitle>Magn Reson Imaging</addtitle><date>2024-11</date><risdate>2024</risdate><volume>113</volume><spage>110220</spage><pages>110220-</pages><artnum>110220</artnum><issn>0730-725X</issn><issn>1873-5894</issn><eissn>1873-5894</eissn><abstract>Compressed sensing allows for image reconstruction from sparsely sampled k-space data, which is particularly useful in dynamic contrast enhanced MRI (DCE-MRI). The aim of the study was to assess the diagnostic value of a volume-interpolated 3D T1-weighted spoiled gradient-echo sequence with variable density Cartesian undersampling and compressed sensing (CS) for head and neck MRI.
Seventy-one patients with clinical indications for head and neck MRI were included in this study. DCE-MRI was performed at 3 Tesla magnet using CS-VIBE (variable density undersampling, temporal resolution 3.4 s, slice thickness 1 mm). Image quality was compared to standard Cartesian VIBE. Three experienced readers independently evaluated image quality and lesion conspicuity on a 5-point Likert scale and determined the DCE-derived time intensity curve (TIC) types.
CS-VIBE demonstrated higher image quality scores compared to standard VIBE with respect to overall image quality (4.3 ± 0.6 vs. 4.2 ± 0.7, p = 0.682), vessel contour (4.6 ± 0.4 vs. 4.4 ± 0.6, p < 0.001), muscle contour (4.4 ± 0.5 vs. 4.5 ± 0.6, p = 0.302), lesion conspicuity (4.5 ± 0.7 vs. 4.3 ± 0.9, p = 0.024) and showed improved fat saturation (4.8 ± 0.3 vs. 3.8 ± 0.4, p < 0.001) and movement artifacts were significantly reduced (4.6 ± 0.6 vs. 3.7 ± 0.7, p < 0.001). Standard VIBE outperformed CS-VIBE in the delineation of pharyngeal mucosa (4.2 ± 0.5 vs. 4.6 ± 0.6, p < 0.001). Lesion size in cases where a focal lesion was identified was similar for all readers for CS-VIBE and standard VIBE (p = 0.101). TIC curve assessment showed good interobserver agreement (k=0.717).
CS-VIBE with variable density Cartesian undersampling allows for DCE-MRI of the head and neck region with diagnostic, high image quality and high temporal resolution.
•CS-VIBE provides excellent overall image quality, similar to that of a standard VIBE sequence in head and neck imaging.•CS-VIBE shows superior lesion conspicuity, vessel contour, reduced motion and metal artifacts, and improves fat saturation.•CS-VIBE allows for robust perfusion analysis of head and neck lesions using time-intensity curves.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>39173963</pmid><doi>10.1016/j.mri.2024.110220</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Compressed sensing Contrast Media Data Compression - methods Dynamic contrat enhanced MRI Female Head - diagnostic imaging Head and neck Head and Neck Neoplasms - diagnostic imaging Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Male Middle Aged MRI Neck - diagnostic imaging Reproducibility of Results Young Adult |
title | Dynamic contrast enhanced MRI of the head and neck region using a VIBE sequence with Cartesian undersampling and compressed sensing |
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