Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility
Background Quantitative diffusion MRI is a promising technique for evaluating peripheral nerve integrity but low signal‐to‐noise ratio (SNR) can impede measurement accuracy. Purpose To evaluate principal component analysis (PCA) and generalized spherical deconvolution (genSD) denoising techniques to...
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description | Background
Quantitative diffusion MRI is a promising technique for evaluating peripheral nerve integrity but low signal‐to‐noise ratio (SNR) can impede measurement accuracy.
Purpose
To evaluate principal component analysis (PCA) and generalized spherical deconvolution (genSD) denoising techniques to improve within‐subject reproducibility and peripheral nerve conspicuity.
Study Type
Prospective.
Subjects
Seven healthy volunteers and three peripheral neuropathy patients.
Field Strength/Sequence
3T/multiband single‐shot echo planar diffusion sequence using multishell 55‐direction scheme.
Assessment
Images were processed using four methods: "original" (no denoising), "average" (10 repetitions), "PCA‐only," and "PCA + genSD." Tibial and common peroneal nerve segmentations and masks were generated from volunteer diffusion data. Quantitative (SNR and contrast‐to‐noise ratio [CNR]) values were calculated. Three radiologists qualitatively evaluated nerve conspicuity for each method. The two denoising methods were also performed in three patients with peripheral neuropathies.
Statistical Tests
For healthy volunteers, calculations included SNR and CNRFA (computed using FA values). Coefficient of variation (CV%) of CNRFA quantified within‐subject reproducibility. Groups were compared with two‐sample t‐tests (significance P < 0.05; two‐tailed, Bonferroni‐corrected). Odds ratios (ORs) quantified the relative rates of each of three radiologists confidently identifying a nerve, per slice, for the four methods.
Results
"PCA + genSD" yielded the highest SNR (meanoverall = 14.83 ± 1.99) and tibial and common peroneal nerve CNRFA (meantibial = 3.45, meanperoneal = 2.34) compared to "original" (P
SNR < 0.001; P
CNR = 0.011) and "PCA‐only" (P
SNR < 0.001, P
CNR < 0.001). "PCA + genSD" had higher within‐subject reproducibility (low CV%) for tibial (6.04 ± 1.98) and common peroneal nerves (8.27 ± 2.75) compared to "original" and "PCA‐only." The mean FA was higher for "original" than "average" (P < 0.001), but did not differ significantly between "average" and "PCA + genSD" (P = 0.14). "PCA + genSD" had higher tibial and common peroneal nerve conspicuity than "PCA‐only" (ORtibial = 2.50, P < 0.001; ORperoneal = 1.86, P < 0.001) and "original" (ORtibial = 2.73, P < 0.001; ORperoneal = 2.43, P < 0.001).
Data Conclusion
PCA + genSD denoising method improved SNR, CNRFA, and within‐subject reproducibility (CV%) without biasing FA and nerve conspicuity. This technique holds promise for |
doi_str_mv | 10.1002/jmri.26965 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2309498477</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2375711968</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3575-2eb0f578477927c4379f151edda8a6627af7cb96a8a258e3b4d62f11689facc33</originalsourceid><addsrcrecordid>eNp9kMtKAzEUQIMotlY3foAE3IgwNclMkslS6puKILoeMpkbTZmXiVPp35tadeHCVR4cTm4OQoeUTCkh7GzReDdlQgm-hcaUM5YwnovtuCc8TWhO5AjthbAghCiV8V00SqngGc_YGD1dQNu54NoX3FlcOWuH4LoW3z_eYtf0vltCwD1417-C1zVuwS8Bm64NvTODe19h3VbYQySrwbjS1fFuH-1YXQc4-F4n6Pnq8ml2k8wfrm9n5_PEpFzyhEFJLJd5JqVi0mSpVJZyClWlcy0Ek9pKUyoRT_FDkJZZJZilVOTKamPSdIJONt74-tsA4b1oXDBQ17qFbggFS4nK1Nof0eM_6KIbfBuni5TkklIl8kidbijjuxA82KL3rtF-VVBSrFsX69bFV-sIH30rh7KB6hf9iRsBugE-XA2rf1TFXcy9kX4CtBGJ3g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2375711968</pqid></control><display><type>article</type><title>Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Sneag, Darryl B. ; Zochowski, Kelly C. ; Tan, Ek T. ; Queler, Sophie C. ; Burge, Alissa ; Endo, Yoshimi ; Lin, Bin ; Fung, Maggie ; Shin, Jaemin</creator><creatorcontrib>Sneag, Darryl B. ; Zochowski, Kelly C. ; Tan, Ek T. ; Queler, Sophie C. ; Burge, Alissa ; Endo, Yoshimi ; Lin, Bin ; Fung, Maggie ; Shin, Jaemin</creatorcontrib><description><![CDATA[Background
Quantitative diffusion MRI is a promising technique for evaluating peripheral nerve integrity but low signal‐to‐noise ratio (SNR) can impede measurement accuracy.
Purpose
To evaluate principal component analysis (PCA) and generalized spherical deconvolution (genSD) denoising techniques to improve within‐subject reproducibility and peripheral nerve conspicuity.
Study Type
Prospective.
Subjects
Seven healthy volunteers and three peripheral neuropathy patients.
Field Strength/Sequence
3T/multiband single‐shot echo planar diffusion sequence using multishell 55‐direction scheme.
Assessment
Images were processed using four methods: "original" (no denoising), "average" (10 repetitions), "PCA‐only," and "PCA + genSD." Tibial and common peroneal nerve segmentations and masks were generated from volunteer diffusion data. Quantitative (SNR and contrast‐to‐noise ratio [CNR]) values were calculated. Three radiologists qualitatively evaluated nerve conspicuity for each method. The two denoising methods were also performed in three patients with peripheral neuropathies.
Statistical Tests
For healthy volunteers, calculations included SNR and CNRFA (computed using FA values). Coefficient of variation (CV%) of CNRFA quantified within‐subject reproducibility. Groups were compared with two‐sample t‐tests (significance P < 0.05; two‐tailed, Bonferroni‐corrected). Odds ratios (ORs) quantified the relative rates of each of three radiologists confidently identifying a nerve, per slice, for the four methods.
Results
"PCA + genSD" yielded the highest SNR (meanoverall = 14.83 ± 1.99) and tibial and common peroneal nerve CNRFA (meantibial = 3.45, meanperoneal = 2.34) compared to "original" (P
SNR < 0.001; P
CNR = 0.011) and "PCA‐only" (P
SNR < 0.001, P
CNR < 0.001). "PCA + genSD" had higher within‐subject reproducibility (low CV%) for tibial (6.04 ± 1.98) and common peroneal nerves (8.27 ± 2.75) compared to "original" and "PCA‐only." The mean FA was higher for "original" than "average" (P < 0.001), but did not differ significantly between "average" and "PCA + genSD" (P = 0.14). "PCA + genSD" had higher tibial and common peroneal nerve conspicuity than "PCA‐only" (ORtibial = 2.50, P < 0.001; ORperoneal = 1.86, P < 0.001) and "original" (ORtibial = 2.73, P < 0.001; ORperoneal = 2.43, P < 0.001).
Data Conclusion
PCA + genSD denoising method improved SNR, CNRFA, and within‐subject reproducibility (CV%) without biasing FA and nerve conspicuity. This technique holds promise for facilitating more reliable, unbiased diffusion measurements of peripheral nerves.
Level of Evidence: 2
Technical Efficacy Stage: 1
J. Magn. Reson. Imaging 2020;51:1128–1137.]]></description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26965</identifier><identifier>PMID: 31654542</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Coefficient of variation ; Conspicuity ; denoising ; Diffusion ; Diffusion Magnetic Resonance Imaging ; diffusion tensor imaging ; Evaluation ; Field strength ; Humans ; Identification methods ; Magnetic resonance imaging ; Masks ; Mathematical analysis ; MRI ; Noise ; Noise reduction ; peripheral nerve ; Peripheral nerves ; Peripheral Nervous System Diseases - diagnostic imaging ; Peripheral neuropathy ; Peroneal nerve ; Principal components analysis ; Prospective Studies ; Reproducibility ; Reproducibility of Results ; Signal-To-Noise Ratio ; Statistical analysis ; Statistical tests</subject><ispartof>Journal of magnetic resonance imaging, 2020-04, Vol.51 (4), p.1128-1137</ispartof><rights>2019 International Society for Magnetic Resonance in Medicine</rights><rights>2019 International Society for Magnetic Resonance in Medicine.</rights><rights>2020 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3575-2eb0f578477927c4379f151edda8a6627af7cb96a8a258e3b4d62f11689facc33</citedby><cites>FETCH-LOGICAL-c3575-2eb0f578477927c4379f151edda8a6627af7cb96a8a258e3b4d62f11689facc33</cites><orcidid>0000-0002-1457-4318</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.26965$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.26965$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31654542$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sneag, Darryl B.</creatorcontrib><creatorcontrib>Zochowski, Kelly C.</creatorcontrib><creatorcontrib>Tan, Ek T.</creatorcontrib><creatorcontrib>Queler, Sophie C.</creatorcontrib><creatorcontrib>Burge, Alissa</creatorcontrib><creatorcontrib>Endo, Yoshimi</creatorcontrib><creatorcontrib>Lin, Bin</creatorcontrib><creatorcontrib>Fung, Maggie</creatorcontrib><creatorcontrib>Shin, Jaemin</creatorcontrib><title>Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description><![CDATA[Background
Quantitative diffusion MRI is a promising technique for evaluating peripheral nerve integrity but low signal‐to‐noise ratio (SNR) can impede measurement accuracy.
Purpose
To evaluate principal component analysis (PCA) and generalized spherical deconvolution (genSD) denoising techniques to improve within‐subject reproducibility and peripheral nerve conspicuity.
Study Type
Prospective.
Subjects
Seven healthy volunteers and three peripheral neuropathy patients.
Field Strength/Sequence
3T/multiband single‐shot echo planar diffusion sequence using multishell 55‐direction scheme.
Assessment
Images were processed using four methods: "original" (no denoising), "average" (10 repetitions), "PCA‐only," and "PCA + genSD." Tibial and common peroneal nerve segmentations and masks were generated from volunteer diffusion data. Quantitative (SNR and contrast‐to‐noise ratio [CNR]) values were calculated. Three radiologists qualitatively evaluated nerve conspicuity for each method. The two denoising methods were also performed in three patients with peripheral neuropathies.
Statistical Tests
For healthy volunteers, calculations included SNR and CNRFA (computed using FA values). Coefficient of variation (CV%) of CNRFA quantified within‐subject reproducibility. Groups were compared with two‐sample t‐tests (significance P < 0.05; two‐tailed, Bonferroni‐corrected). Odds ratios (ORs) quantified the relative rates of each of three radiologists confidently identifying a nerve, per slice, for the four methods.
Results
"PCA + genSD" yielded the highest SNR (meanoverall = 14.83 ± 1.99) and tibial and common peroneal nerve CNRFA (meantibial = 3.45, meanperoneal = 2.34) compared to "original" (P
SNR < 0.001; P
CNR = 0.011) and "PCA‐only" (P
SNR < 0.001, P
CNR < 0.001). "PCA + genSD" had higher within‐subject reproducibility (low CV%) for tibial (6.04 ± 1.98) and common peroneal nerves (8.27 ± 2.75) compared to "original" and "PCA‐only." The mean FA was higher for "original" than "average" (P < 0.001), but did not differ significantly between "average" and "PCA + genSD" (P = 0.14). "PCA + genSD" had higher tibial and common peroneal nerve conspicuity than "PCA‐only" (ORtibial = 2.50, P < 0.001; ORperoneal = 1.86, P < 0.001) and "original" (ORtibial = 2.73, P < 0.001; ORperoneal = 2.43, P < 0.001).
Data Conclusion
PCA + genSD denoising method improved SNR, CNRFA, and within‐subject reproducibility (CV%) without biasing FA and nerve conspicuity. This technique holds promise for facilitating more reliable, unbiased diffusion measurements of peripheral nerves.
Level of Evidence: 2
Technical Efficacy Stage: 1
J. Magn. Reson. Imaging 2020;51:1128–1137.]]></description><subject>Coefficient of variation</subject><subject>Conspicuity</subject><subject>denoising</subject><subject>Diffusion</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>diffusion tensor imaging</subject><subject>Evaluation</subject><subject>Field strength</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Magnetic resonance imaging</subject><subject>Masks</subject><subject>Mathematical analysis</subject><subject>MRI</subject><subject>Noise</subject><subject>Noise reduction</subject><subject>peripheral nerve</subject><subject>Peripheral nerves</subject><subject>Peripheral Nervous System Diseases - diagnostic imaging</subject><subject>Peripheral neuropathy</subject><subject>Peroneal nerve</subject><subject>Principal components analysis</subject><subject>Prospective Studies</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Signal-To-Noise Ratio</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtKAzEUQIMotlY3foAE3IgwNclMkslS6puKILoeMpkbTZmXiVPp35tadeHCVR4cTm4OQoeUTCkh7GzReDdlQgm-hcaUM5YwnovtuCc8TWhO5AjthbAghCiV8V00SqngGc_YGD1dQNu54NoX3FlcOWuH4LoW3z_eYtf0vltCwD1417-C1zVuwS8Bm64NvTODe19h3VbYQySrwbjS1fFuH-1YXQc4-F4n6Pnq8ml2k8wfrm9n5_PEpFzyhEFJLJd5JqVi0mSpVJZyClWlcy0Ek9pKUyoRT_FDkJZZJZilVOTKamPSdIJONt74-tsA4b1oXDBQ17qFbggFS4nK1Nof0eM_6KIbfBuni5TkklIl8kidbijjuxA82KL3rtF-VVBSrFsX69bFV-sIH30rh7KB6hf9iRsBugE-XA2rf1TFXcy9kX4CtBGJ3g</recordid><startdate>202004</startdate><enddate>202004</enddate><creator>Sneag, Darryl B.</creator><creator>Zochowski, Kelly C.</creator><creator>Tan, Ek T.</creator><creator>Queler, Sophie C.</creator><creator>Burge, Alissa</creator><creator>Endo, Yoshimi</creator><creator>Lin, Bin</creator><creator>Fung, Maggie</creator><creator>Shin, Jaemin</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</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>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1457-4318</orcidid></search><sort><creationdate>202004</creationdate><title>Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility</title><author>Sneag, Darryl B. ; Zochowski, Kelly C. ; Tan, Ek T. ; Queler, Sophie C. ; Burge, Alissa ; Endo, Yoshimi ; Lin, Bin ; Fung, Maggie ; Shin, Jaemin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3575-2eb0f578477927c4379f151edda8a6627af7cb96a8a258e3b4d62f11689facc33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Coefficient of variation</topic><topic>Conspicuity</topic><topic>denoising</topic><topic>Diffusion</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>diffusion tensor imaging</topic><topic>Evaluation</topic><topic>Field strength</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Magnetic resonance imaging</topic><topic>Masks</topic><topic>Mathematical analysis</topic><topic>MRI</topic><topic>Noise</topic><topic>Noise reduction</topic><topic>peripheral nerve</topic><topic>Peripheral nerves</topic><topic>Peripheral Nervous System Diseases - diagnostic imaging</topic><topic>Peripheral neuropathy</topic><topic>Peroneal nerve</topic><topic>Principal components analysis</topic><topic>Prospective Studies</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Signal-To-Noise Ratio</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sneag, Darryl B.</creatorcontrib><creatorcontrib>Zochowski, Kelly C.</creatorcontrib><creatorcontrib>Tan, Ek T.</creatorcontrib><creatorcontrib>Queler, Sophie C.</creatorcontrib><creatorcontrib>Burge, Alissa</creatorcontrib><creatorcontrib>Endo, Yoshimi</creatorcontrib><creatorcontrib>Lin, Bin</creatorcontrib><creatorcontrib>Fung, Maggie</creatorcontrib><creatorcontrib>Shin, Jaemin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sneag, Darryl B.</au><au>Zochowski, Kelly C.</au><au>Tan, Ek T.</au><au>Queler, Sophie C.</au><au>Burge, Alissa</au><au>Endo, Yoshimi</au><au>Lin, Bin</au><au>Fung, Maggie</au><au>Shin, Jaemin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2020-04</date><risdate>2020</risdate><volume>51</volume><issue>4</issue><spage>1128</spage><epage>1137</epage><pages>1128-1137</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract><![CDATA[Background
Quantitative diffusion MRI is a promising technique for evaluating peripheral nerve integrity but low signal‐to‐noise ratio (SNR) can impede measurement accuracy.
Purpose
To evaluate principal component analysis (PCA) and generalized spherical deconvolution (genSD) denoising techniques to improve within‐subject reproducibility and peripheral nerve conspicuity.
Study Type
Prospective.
Subjects
Seven healthy volunteers and three peripheral neuropathy patients.
Field Strength/Sequence
3T/multiband single‐shot echo planar diffusion sequence using multishell 55‐direction scheme.
Assessment
Images were processed using four methods: "original" (no denoising), "average" (10 repetitions), "PCA‐only," and "PCA + genSD." Tibial and common peroneal nerve segmentations and masks were generated from volunteer diffusion data. Quantitative (SNR and contrast‐to‐noise ratio [CNR]) values were calculated. Three radiologists qualitatively evaluated nerve conspicuity for each method. The two denoising methods were also performed in three patients with peripheral neuropathies.
Statistical Tests
For healthy volunteers, calculations included SNR and CNRFA (computed using FA values). Coefficient of variation (CV%) of CNRFA quantified within‐subject reproducibility. Groups were compared with two‐sample t‐tests (significance P < 0.05; two‐tailed, Bonferroni‐corrected). Odds ratios (ORs) quantified the relative rates of each of three radiologists confidently identifying a nerve, per slice, for the four methods.
Results
"PCA + genSD" yielded the highest SNR (meanoverall = 14.83 ± 1.99) and tibial and common peroneal nerve CNRFA (meantibial = 3.45, meanperoneal = 2.34) compared to "original" (P
SNR < 0.001; P
CNR = 0.011) and "PCA‐only" (P
SNR < 0.001, P
CNR < 0.001). "PCA + genSD" had higher within‐subject reproducibility (low CV%) for tibial (6.04 ± 1.98) and common peroneal nerves (8.27 ± 2.75) compared to "original" and "PCA‐only." The mean FA was higher for "original" than "average" (P < 0.001), but did not differ significantly between "average" and "PCA + genSD" (P = 0.14). "PCA + genSD" had higher tibial and common peroneal nerve conspicuity than "PCA‐only" (ORtibial = 2.50, P < 0.001; ORperoneal = 1.86, P < 0.001) and "original" (ORtibial = 2.73, P < 0.001; ORperoneal = 2.43, P < 0.001).
Data Conclusion
PCA + genSD denoising method improved SNR, CNRFA, and within‐subject reproducibility (CV%) without biasing FA and nerve conspicuity. This technique holds promise for facilitating more reliable, unbiased diffusion measurements of peripheral nerves.
Level of Evidence: 2
Technical Efficacy Stage: 1
J. Magn. Reson. Imaging 2020;51:1128–1137.]]></abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31654542</pmid><doi>10.1002/jmri.26965</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1457-4318</orcidid></addata></record> |
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subjects | Coefficient of variation Conspicuity denoising Diffusion Diffusion Magnetic Resonance Imaging diffusion tensor imaging Evaluation Field strength Humans Identification methods Magnetic resonance imaging Masks Mathematical analysis MRI Noise Noise reduction peripheral nerve Peripheral nerves Peripheral Nervous System Diseases - diagnostic imaging Peripheral neuropathy Peroneal nerve Principal components analysis Prospective Studies Reproducibility Reproducibility of Results Signal-To-Noise Ratio Statistical analysis Statistical tests |
title | Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility |
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