Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection
We describe an improved method of measuring brain atrophy rates from serial MRI for multi-site imaging studies of Alzheimer's disease (AD). The method (referred to as KN-BSI) improves an existing brain atrophy measurement technique—the boundary shift integral (classic-BSI), by performing tissue...
Gespeichert in:
| Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2010-04, Vol.50 (2), p.516-523 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 523 |
|---|---|
| container_issue | 2 |
| container_start_page | 516 |
| container_title | NeuroImage (Orlando, Fla.) |
| container_volume | 50 |
| creator | Leung, Kelvin K. Clarkson, Matthew J. Bartlett, Jonathan W. Clegg, Shona Jack, Clifford R. Weiner, Michael W. Fox, Nick C. Ourselin, Sébastien |
| description | We describe an improved method of measuring brain atrophy rates from serial MRI for multi-site imaging studies of Alzheimer's disease (AD). The method (referred to as KN-BSI) improves an existing brain atrophy measurement technique—the boundary shift integral (classic-BSI), by performing tissue-specific intensity normalization and parameter selection. We applied KN-BSI to measure brain atrophy rates of 200 normal and 141 AD subjects using baseline and 1-year MRI scans downloaded from the Alzheimer's Disease Neuroimaging Initiative database. Baseline and repeat images were reviewed as pairs by expert raters and given quality scores. Including all image pairs, regardless of quality score, mean KN-BSI atrophy rates were 0.09% higher (95% CI 0.03% to 0.16%, p=0.007) than classic-BSI rates in controls and 0.07% higher (−0.01% to 0.16%, p=0.07) higher in ADs. The SD of the KN-BSI rates was 22% lower (15% to 29%, p |
| doi_str_mv | 10.1016/j.neuroimage.2009.12.059 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2828361</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1053811909013482</els_id><sourcerecordid>3244813131</sourcerecordid><originalsourceid>FETCH-LOGICAL-c572t-ceb1df0b2e6f383272508c80db5142b5c521fada4c329382cba911a03f3021473</originalsourceid><addsrcrecordid>eNqFUctu1TAUjBCIlgu_gCyx6CrBjzhxWCC1FY9KRUhVWVuOc3KvrxI7-FHp9jf4YRzdUh4bVrZ8ZsZnZooCEVwRTJq3-8pC8s7MagsVxbirCK0w754UpwR3vOx4S5-ud85KQUh3UrwIYY8zkNTieXGSKazmbXda_LhxfQoRqejdsjsgryKgGVRIHmawERmLzqf7HZgZ_FlAgwl5CCgFY7doTlM0ZTCZE8AbNaEvN1fv0K0JIUEZFtBmNDprRLAZdUDW-VlN5l5F4yxSdkCL8mqGCD4rTKDX95fFs1FNAV49nJvi28cPt5efy-uvn64uz69Lne3FUkNPhhH3FJqRCUZbyrHQAg89JzXtueaUjGpQtWa0Y4LqXnWEKMxGhimpW7Yp3h91l9TPMOhs16tJLj7n6g_SKSP_nlizk1t3J6mggjUkC5w9CHj3PUGIcjZBwzQpCy4F2TLGSE0yeFO8-Qe5d8nb7E4SjhtBG9GsC4kjSnsXgofxcReC5Vq83Mvfxcu1eEmozMVn6us_vTwSfzWdARdHAORE7wx4GbQBq2EwPscuB2f-_8tP_EvIzQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1506826867</pqid></control><display><type>article</type><title>Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><source>ProQuest Central UK/Ireland</source><creator>Leung, Kelvin K. ; Clarkson, Matthew J. ; Bartlett, Jonathan W. ; Clegg, Shona ; Jack, Clifford R. ; Weiner, Michael W. ; Fox, Nick C. ; Ourselin, Sébastien</creator><creatorcontrib>Leung, Kelvin K. ; Clarkson, Matthew J. ; Bartlett, Jonathan W. ; Clegg, Shona ; Jack, Clifford R. ; Weiner, Michael W. ; Fox, Nick C. ; Ourselin, Sébastien ; the Alzheimer's Disease Neuroimaging Initiative ; Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><description>We describe an improved method of measuring brain atrophy rates from serial MRI for multi-site imaging studies of Alzheimer's disease (AD). The method (referred to as KN-BSI) improves an existing brain atrophy measurement technique—the boundary shift integral (classic-BSI), by performing tissue-specific intensity normalization and parameter selection. We applied KN-BSI to measure brain atrophy rates of 200 normal and 141 AD subjects using baseline and 1-year MRI scans downloaded from the Alzheimer's Disease Neuroimaging Initiative database. Baseline and repeat images were reviewed as pairs by expert raters and given quality scores. Including all image pairs, regardless of quality score, mean KN-BSI atrophy rates were 0.09% higher (95% CI 0.03% to 0.16%, p=0.007) than classic-BSI rates in controls and 0.07% higher (−0.01% to 0.16%, p=0.07) higher in ADs. The SD of the KN-BSI rates was 22% lower (15% to 29%, p<0.001) in controls and 13% lower (6% to 20%, p=0.001) in ADs, compared to classic-BSI. Using these results, the estimated sample size (needed per treatment arm) for a hypothetical trial of a treatment for AD (80% power, 5% significance to detect a 25% reduction in atrophy rate) would be reduced from 120 to 81 (a 32% reduction, 95% CI=18% to 45%, p<0.001) when using KN-BSI instead of classic-BSI. We concluded that KN-BSI offers more robust brain atrophy measurement than classic-BSI and substantially reduces sample sizes needed in clinical trials.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2009.12.059</identifier><identifier>PMID: 20034579</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Aging ; Algorithms ; Alzheimer Disease - pathology ; Alzheimer's disease ; Atrophy ; Atrophy - pathology ; Automation ; Biomedical research ; Boundary shift integral ; Brain - pathology ; Brain research ; BSI ; Dementia ; Humans ; Image Interpretation, Computer-Assisted - methods ; Intensity normalization ; KN-BSI ; Magnetic Resonance Imaging - methods ; Medical imaging ; MRI ; NMR ; Noise ; Nuclear magnetic resonance ; Pharmaceutical industry ; Quality control ; Registration ; Scanners ; Studies</subject><ispartof>NeuroImage (Orlando, Fla.), 2010-04, Vol.50 (2), p.516-523</ispartof><rights>2010 Elsevier Inc.</rights><rights>Copyright 2010 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Apr 1, 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c572t-ceb1df0b2e6f383272508c80db5142b5c521fada4c329382cba911a03f3021473</citedby><cites>FETCH-LOGICAL-c572t-ceb1df0b2e6f383272508c80db5142b5c521fada4c329382cba911a03f3021473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1506826867?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20034579$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leung, Kelvin K.</creatorcontrib><creatorcontrib>Clarkson, Matthew J.</creatorcontrib><creatorcontrib>Bartlett, Jonathan W.</creatorcontrib><creatorcontrib>Clegg, Shona</creatorcontrib><creatorcontrib>Jack, Clifford R.</creatorcontrib><creatorcontrib>Weiner, Michael W.</creatorcontrib><creatorcontrib>Fox, Nick C.</creatorcontrib><creatorcontrib>Ourselin, Sébastien</creatorcontrib><creatorcontrib>the Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><title>Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>We describe an improved method of measuring brain atrophy rates from serial MRI for multi-site imaging studies of Alzheimer's disease (AD). The method (referred to as KN-BSI) improves an existing brain atrophy measurement technique—the boundary shift integral (classic-BSI), by performing tissue-specific intensity normalization and parameter selection. We applied KN-BSI to measure brain atrophy rates of 200 normal and 141 AD subjects using baseline and 1-year MRI scans downloaded from the Alzheimer's Disease Neuroimaging Initiative database. Baseline and repeat images were reviewed as pairs by expert raters and given quality scores. Including all image pairs, regardless of quality score, mean KN-BSI atrophy rates were 0.09% higher (95% CI 0.03% to 0.16%, p=0.007) than classic-BSI rates in controls and 0.07% higher (−0.01% to 0.16%, p=0.07) higher in ADs. The SD of the KN-BSI rates was 22% lower (15% to 29%, p<0.001) in controls and 13% lower (6% to 20%, p=0.001) in ADs, compared to classic-BSI. Using these results, the estimated sample size (needed per treatment arm) for a hypothetical trial of a treatment for AD (80% power, 5% significance to detect a 25% reduction in atrophy rate) would be reduced from 120 to 81 (a 32% reduction, 95% CI=18% to 45%, p<0.001) when using KN-BSI instead of classic-BSI. We concluded that KN-BSI offers more robust brain atrophy measurement than classic-BSI and substantially reduces sample sizes needed in clinical trials.</description><subject>Aged</subject><subject>Aging</subject><subject>Algorithms</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer's disease</subject><subject>Atrophy</subject><subject>Atrophy - pathology</subject><subject>Automation</subject><subject>Biomedical research</subject><subject>Boundary shift integral</subject><subject>Brain - pathology</subject><subject>Brain research</subject><subject>BSI</subject><subject>Dementia</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Intensity normalization</subject><subject>KN-BSI</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical imaging</subject><subject>MRI</subject><subject>NMR</subject><subject>Noise</subject><subject>Nuclear magnetic resonance</subject><subject>Pharmaceutical industry</subject><subject>Quality control</subject><subject>Registration</subject><subject>Scanners</subject><subject>Studies</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFUctu1TAUjBCIlgu_gCyx6CrBjzhxWCC1FY9KRUhVWVuOc3KvrxI7-FHp9jf4YRzdUh4bVrZ8ZsZnZooCEVwRTJq3-8pC8s7MagsVxbirCK0w754UpwR3vOx4S5-ud85KQUh3UrwIYY8zkNTieXGSKazmbXda_LhxfQoRqejdsjsgryKgGVRIHmawERmLzqf7HZgZ_FlAgwl5CCgFY7doTlM0ZTCZE8AbNaEvN1fv0K0JIUEZFtBmNDprRLAZdUDW-VlN5l5F4yxSdkCL8mqGCD4rTKDX95fFs1FNAV49nJvi28cPt5efy-uvn64uz69Lne3FUkNPhhH3FJqRCUZbyrHQAg89JzXtueaUjGpQtWa0Y4LqXnWEKMxGhimpW7Yp3h91l9TPMOhs16tJLj7n6g_SKSP_nlizk1t3J6mggjUkC5w9CHj3PUGIcjZBwzQpCy4F2TLGSE0yeFO8-Qe5d8nb7E4SjhtBG9GsC4kjSnsXgofxcReC5Vq83Mvfxcu1eEmozMVn6us_vTwSfzWdARdHAORE7wx4GbQBq2EwPscuB2f-_8tP_EvIzQ</recordid><startdate>20100401</startdate><enddate>20100401</enddate><creator>Leung, Kelvin K.</creator><creator>Clarkson, Matthew J.</creator><creator>Bartlett, Jonathan W.</creator><creator>Clegg, Shona</creator><creator>Jack, Clifford R.</creator><creator>Weiner, Michael W.</creator><creator>Fox, Nick C.</creator><creator>Ourselin, Sébastien</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20100401</creationdate><title>Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection</title><author>Leung, Kelvin K. ; Clarkson, Matthew J. ; Bartlett, Jonathan W. ; Clegg, Shona ; Jack, Clifford R. ; Weiner, Michael W. ; Fox, Nick C. ; Ourselin, Sébastien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-ceb1df0b2e6f383272508c80db5142b5c521fada4c329382cba911a03f3021473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aged</topic><topic>Aging</topic><topic>Algorithms</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer's disease</topic><topic>Atrophy</topic><topic>Atrophy - pathology</topic><topic>Automation</topic><topic>Biomedical research</topic><topic>Boundary shift integral</topic><topic>Brain - pathology</topic><topic>Brain research</topic><topic>BSI</topic><topic>Dementia</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Intensity normalization</topic><topic>KN-BSI</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical imaging</topic><topic>MRI</topic><topic>NMR</topic><topic>Noise</topic><topic>Nuclear magnetic resonance</topic><topic>Pharmaceutical industry</topic><topic>Quality control</topic><topic>Registration</topic><topic>Scanners</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leung, Kelvin K.</creatorcontrib><creatorcontrib>Clarkson, Matthew J.</creatorcontrib><creatorcontrib>Bartlett, Jonathan W.</creatorcontrib><creatorcontrib>Clegg, Shona</creatorcontrib><creatorcontrib>Jack, Clifford R.</creatorcontrib><creatorcontrib>Weiner, Michael W.</creatorcontrib><creatorcontrib>Fox, Nick C.</creatorcontrib><creatorcontrib>Ourselin, Sébastien</creatorcontrib><creatorcontrib>the Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative</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>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database (ProQuest)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leung, Kelvin K.</au><au>Clarkson, Matthew J.</au><au>Bartlett, Jonathan W.</au><au>Clegg, Shona</au><au>Jack, Clifford R.</au><au>Weiner, Michael W.</au><au>Fox, Nick C.</au><au>Ourselin, Sébastien</au><aucorp>the Alzheimer's Disease Neuroimaging Initiative</aucorp><aucorp>Alzheimer's Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2010-04-01</date><risdate>2010</risdate><volume>50</volume><issue>2</issue><spage>516</spage><epage>523</epage><pages>516-523</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>We describe an improved method of measuring brain atrophy rates from serial MRI for multi-site imaging studies of Alzheimer's disease (AD). The method (referred to as KN-BSI) improves an existing brain atrophy measurement technique—the boundary shift integral (classic-BSI), by performing tissue-specific intensity normalization and parameter selection. We applied KN-BSI to measure brain atrophy rates of 200 normal and 141 AD subjects using baseline and 1-year MRI scans downloaded from the Alzheimer's Disease Neuroimaging Initiative database. Baseline and repeat images were reviewed as pairs by expert raters and given quality scores. Including all image pairs, regardless of quality score, mean KN-BSI atrophy rates were 0.09% higher (95% CI 0.03% to 0.16%, p=0.007) than classic-BSI rates in controls and 0.07% higher (−0.01% to 0.16%, p=0.07) higher in ADs. The SD of the KN-BSI rates was 22% lower (15% to 29%, p<0.001) in controls and 13% lower (6% to 20%, p=0.001) in ADs, compared to classic-BSI. Using these results, the estimated sample size (needed per treatment arm) for a hypothetical trial of a treatment for AD (80% power, 5% significance to detect a 25% reduction in atrophy rate) would be reduced from 120 to 81 (a 32% reduction, 95% CI=18% to 45%, p<0.001) when using KN-BSI instead of classic-BSI. We concluded that KN-BSI offers more robust brain atrophy measurement than classic-BSI and substantially reduces sample sizes needed in clinical trials.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>20034579</pmid><doi>10.1016/j.neuroimage.2009.12.059</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1053-8119 |
| ispartof | NeuroImage (Orlando, Fla.), 2010-04, Vol.50 (2), p.516-523 |
| issn | 1053-8119 1095-9572 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2828361 |
| source | MEDLINE; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland |
| subjects | Aged Aging Algorithms Alzheimer Disease - pathology Alzheimer's disease Atrophy Atrophy - pathology Automation Biomedical research Boundary shift integral Brain - pathology Brain research BSI Dementia Humans Image Interpretation, Computer-Assisted - methods Intensity normalization KN-BSI Magnetic Resonance Imaging - methods Medical imaging MRI NMR Noise Nuclear magnetic resonance Pharmaceutical industry Quality control Registration Scanners Studies |
| title | Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T05%3A49%3A51IST&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=Robust%20atrophy%20rate%20measurement%20in%20Alzheimer's%20disease%20using%20multi-site%20serial%20MRI:%20Tissue-specific%20intensity%20normalization%20and%20parameter%20selection&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Leung,%20Kelvin%20K.&rft.aucorp=the%20Alzheimer's%20Disease%20Neuroimaging%20Initiative&rft.date=2010-04-01&rft.volume=50&rft.issue=2&rft.spage=516&rft.epage=523&rft.pages=516-523&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2009.12.059&rft_dat=%3Cproquest_pubme%3E3244813131%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=1506826867&rft_id=info:pmid/20034579&rft_els_id=S1053811909013482&rfr_iscdi=true |