MRI‐based large deformation high dimensional mapping of the hippocampus in rats: Development and validation of the technique
Identifieur interne : 001984 ( Istex/Corpus ); précédent : 001983; suivant : 001985MRI‐based large deformation high dimensional mapping of the hippocampus in rats: Development and validation of the technique
Auteurs : R. Edward Hogan ; Viviane Bouilleret ; Ying Rui Liu ; Lei Wang ; John P. Williams ; Bianca Jupp ; Damian Myers ; Terence J. O'BrienSource :
- Journal of Magnetic Resonance Imaging [ 1053-1807 ] ; 2009-05.
English descriptors
- KwdEn :
- Absolute percentage volume differences, Algorithm, Animal models, Arch neurol, Automatic segmentation, Average overlap, Brain mapping, Bruker biospec, Christensen, Computational anatomy, Coronal sections, Data sets, Deformation segmentation, Deformation segmentations, Dimensional mapping, Dorsal pole, Epilepsy, General pattern, Global landmarks, High resolution, Hippocampal, Hippocampal asymmetry, Hippocampal borders, Hippocampal formation, Hippocampal segmentation, Hippocampal surface, Hippocampal surface anatomy, Hippocampal surface deformations, Hippocampus, Human disease, Human subjects, Imaging, Intensity ranges, Joshi, Landmark, Landmark information, Landmarking, Large deformation, Lateral surface, Long axis, Magnetic resonance imaging, Manual segmentation, Manual segmentations, Mapping algorithm, Nonepileptic wistar rats, Overlap, Percentage overlap, Proc natl acad, Right hippocampi, Right hippocampus, Royal melbourne hospital, Second step, Segmentation, Segmented voxels, Septal, Septal pole, Septotemporal axis, Single investigator, Small animal, Standard deviation, Target images, Temporal lobe, Temporal lobe epilepsy, Temporal pole, Useful tool, Validation, Victorian government transport accident commission, Visual inspection, Vivo histological techniques, Volume measurements, Volumetric images, Wang, Washington university.
- Teeft :
- Absolute percentage volume differences, Algorithm, Animal models, Arch neurol, Automatic segmentation, Average overlap, Brain mapping, Bruker biospec, Christensen, Computational anatomy, Coronal sections, Data sets, Deformation segmentation, Deformation segmentations, Dimensional mapping, Dorsal pole, Epilepsy, General pattern, Global landmarks, High resolution, Hippocampal, Hippocampal asymmetry, Hippocampal borders, Hippocampal formation, Hippocampal segmentation, Hippocampal surface, Hippocampal surface anatomy, Hippocampal surface deformations, Hippocampus, Human disease, Human subjects, Imaging, Intensity ranges, Joshi, Landmark, Landmark information, Landmarking, Large deformation, Lateral surface, Long axis, Magnetic resonance imaging, Manual segmentation, Manual segmentations, Mapping algorithm, Nonepileptic wistar rats, Overlap, Percentage overlap, Proc natl acad, Right hippocampi, Right hippocampus, Royal melbourne hospital, Second step, Segmentation, Segmented voxels, Septal, Septal pole, Septotemporal axis, Single investigator, Small animal, Standard deviation, Target images, Temporal lobe, Temporal lobe epilepsy, Temporal pole, Useful tool, Validation, Victorian government transport accident commission, Visual inspection, Vivo histological techniques, Volume measurements, Volumetric images, Wang, Washington university.
Abstract
To report the detection of structural and functional biological changes in living animals using small animal in vivo MRI that complements traditional ex vivo histological techniques. We report the development and validation of the application of large deformation high dimensional mapping (HDM‐LD) segmentation for the hippocampus in the rat.
Url:
DOI: 10.1002/jmri.21766
Links to Exploration step
ISTEX:890D21C2D170D8AB44DAE93271A762B36BB70590Le document en format XML
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resolution</term><term>Hippocampal</term><term>Hippocampal asymmetry</term><term>Hippocampal borders</term><term>Hippocampal formation</term><term>Hippocampal segmentation</term><term>Hippocampal surface</term><term>Hippocampal surface anatomy</term><term>Hippocampal surface deformations</term><term>Hippocampus</term><term>Human disease</term><term>Human subjects</term><term>Imaging</term><term>Intensity ranges</term><term>Joshi</term><term>Landmark</term><term>Landmark information</term><term>Landmarking</term><term>Large deformation</term><term>Lateral surface</term><term>Long axis</term><term>Magnetic resonance imaging</term><term>Manual segmentation</term><term>Manual segmentations</term><term>Mapping algorithm</term><term>Nonepileptic wistar rats</term><term>Overlap</term><term>Percentage overlap</term><term>Proc natl acad</term><term>Right hippocampi</term><term>Right hippocampus</term><term>Royal melbourne hospital</term><term>Second 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sections</term><term>Data sets</term><term>Deformation segmentation</term><term>Deformation segmentations</term><term>Dimensional mapping</term><term>Dorsal pole</term><term>Epilepsy</term><term>General pattern</term><term>Global landmarks</term><term>High resolution</term><term>Hippocampal</term><term>Hippocampal asymmetry</term><term>Hippocampal borders</term><term>Hippocampal formation</term><term>Hippocampal segmentation</term><term>Hippocampal surface</term><term>Hippocampal surface anatomy</term><term>Hippocampal surface deformations</term><term>Hippocampus</term><term>Human disease</term><term>Human subjects</term><term>Imaging</term><term>Intensity ranges</term><term>Joshi</term><term>Landmark</term><term>Landmark information</term><term>Landmarking</term><term>Large deformation</term><term>Lateral surface</term><term>Long axis</term><term>Magnetic resonance imaging</term><term>Manual segmentation</term><term>Manual segmentations</term><term>Mapping algorithm</term><term>Nonepileptic wistar rats</term><term>Overlap</term><term>Percentage overlap</term><term>Proc natl acad</term><term>Right hippocampi</term><term>Right hippocampus</term><term>Royal melbourne hospital</term><term>Second step</term><term>Segmentation</term><term>Segmented voxels</term><term>Septal</term><term>Septal pole</term><term>Septotemporal axis</term><term>Single investigator</term><term>Small animal</term><term>Standard deviation</term><term>Target images</term><term>Temporal lobe</term><term>Temporal lobe epilepsy</term><term>Temporal pole</term><term>Useful tool</term><term>Validation</term><term>Victorian government transport accident commission</term><term>Visual inspection</term><term>Vivo histological techniques</term><term>Volume measurements</term><term>Volumetric images</term><term>Wang</term><term>Washington university</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">To report the detection of structural and functional biological changes in living animals using small animal in vivo MRI that complements traditional ex vivo histological techniques. 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Edward Hogan MD</name><affiliations><json:string>The Department of Neurology, Washington University, St. Louis, Missouri</json:string><json:string>E-mail: hogan@wustl.edu</json:string><json:string>Correspondence address: Washington University in St. Louis, Department of Neurology, 660 S. Euclid Avenue, Campus Box 8111, St. Louis, MO 63110</json:string></affiliations></json:item><json:item><name>Viviane Bouilleret MD, PhD</name><affiliations><json:string>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string><json:string>Department of Neurophysiology and Epilepsy, ApHp, CHU Bicetre, Paris, France</json:string></affiliations></json:item><json:item><name>Ying Rui Liu</name><affiliations><json:string>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string></affiliations></json:item><json:item><name>Lei Wang PhD</name><affiliations><json:string>Department of Psychiatry, Northwestern University, Chicago, Illinois</json:string></affiliations></json:item><json:item><name>John P. Williams PhD</name><affiliations><json:string>The Howard Florey Institute, Parkville, Victoria, Australia</json:string></affiliations></json:item><json:item><name>Bianca Jupp PhD</name><affiliations><json:string>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string></affiliations></json:item><json:item><name>Damian Myers PhD</name><affiliations><json:string>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string></affiliations></json:item><json:item><name>Terence J. O'Brien MD</name><affiliations><json:string>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string><json:string>Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string><json:string>The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>MRI</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>hippocampus</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>rat</value></json:item></subject><articleId><json:string>JMRI21766</json:string></articleId><arkIstex>ark:/67375/WNG-4VXMD21D-9</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>To report the detection of structural and functional biological changes in living animals using small animal in vivo MRI that complements traditional ex vivo histological techniques. 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Edward</forename><surname>Hogan</surname><roleName type="degree">MD</roleName></persName><email>hogan@wustl.edu</email><affiliation>The Department of Neurology, Washington University, St. Louis, Missouri<address><country key="US"></country></address></affiliation><affiliation>Washington University in St. Louis, Department of Neurology, 660 S. Euclid Avenue, Campus Box 8111, St. Louis, MO 63110</affiliation></author><author xml:id="author-0001"><persName><forename type="first">Viviane</forename><surname>Bouilleret</surname><roleName type="degree">MD, PhD</roleName></persName><affiliation>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation><affiliation>Department of Neurophysiology and Epilepsy, ApHp, CHU Bicetre, Paris, France<address><country key="FR"></country></address></affiliation></author><author xml:id="author-0002"><persName><forename type="first">Ying Rui</forename><surname>Liu</surname></persName><affiliation>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation></author><author xml:id="author-0003"><persName><forename type="first">Lei</forename><surname>Wang</surname><roleName type="degree">PhD</roleName></persName><affiliation>Department of Psychiatry, Northwestern University, Chicago, Illinois<address><country key="US"></country></address></affiliation></author><author xml:id="author-0004"><persName><forename type="first">John P.</forename><surname>Williams</surname><roleName type="degree">PhD</roleName></persName><affiliation>The Howard Florey Institute, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation></author><author xml:id="author-0005"><persName><forename type="first">Bianca</forename><surname>Jupp</surname><roleName type="degree">PhD</roleName></persName><affiliation>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation></author><author xml:id="author-0006"><persName><forename type="first">Damian</forename><surname>Myers</surname><roleName type="degree">PhD</roleName></persName><affiliation>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation></author><author xml:id="author-0007"><persName><forename type="first">Terence J.</forename><surname>O'Brien</surname><roleName type="degree">MD</roleName></persName><affiliation>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation><affiliation>Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation><affiliation>The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia<address><country key="AU"></country></address></affiliation></author><idno type="istex">890D21C2D170D8AB44DAE93271A762B36BB70590</idno><idno type="ark">ark:/67375/WNG-4VXMD21D-9</idno><idno type="DOI">10.1002/jmri.21766</idno><idno type="unit">JMRI21766</idno><idno type="toTypesetVersion">file:JMRI.JMRI21766.pdf</idno></analytic><monogr><title level="j" type="main">Journal of Magnetic Resonance Imaging</title><title level="j" type="alt">JOURNAL OF MAGNETIC RESONANCE IMAGING</title><idno type="pISSN">1053-1807</idno><idno type="eISSN">1522-2586</idno><idno type="book-DOI">10.1002/(ISSN)1522-2586</idno><idno type="book-part-DOI">10.1002/jmri.v29:5</idno><idno type="product">JMRI</idno><imprint><biblScope unit="vol">29</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="1027">1027</biblScope><biblScope unit="page" to="1034">1034</biblScope><biblScope unit="page-count">8</biblScope><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2009-05"></date></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en" style="main"><head>Abstract</head>
Purpose
<p>To report the detection of structural and functional biological changes in living animals using small animal in vivo MRI that complements traditional ex vivo histological techniques. We report the development and validation of the application of large deformation high dimensional mapping (HDM‐LD) segmentation for the hippocampus in the rat.</p>
Materials and Methods
<p>High resolution volumetric T2 weighted MRI images were acquired at 4.7 Tesla from six male in‐breed nonepileptic Wistar rats. Two HDM‐LD segmentations of the hippocampus (automated 1 and automated 2) were compared with the manual segmentations of two investigators who independently segmented the hippocampi (manual 1 and manual 2).</p>
Results
<p>The mean overlap for the hippocampi between automated 1 and automated 2 for the right hippocampi was 94.4% (SD 1.0) and for the left hippocampi was 94.3% (SD 2.5), while the mean overlap between automated 1 and manual 1 for the right hippocampi was 91.4% (SD 1.3) and for the left hippocampi was 91.9% (SD 1.4). Mean values for absolute differences for comparisons of all the segmentations were the following: automated 1 versus automated 2, 3.2% (SD 1.0); manual 1 versus manual 2 6.82% (SD 5.22); automated 1 versus manual 1 13.0% (SD 1.8).</p>
Conclusion
<p>HDM‐LD can be applied to obtain accurate and reproducible three‐dimensional segmentations of the hippocampus from rat MR images. HDM‐LD will be a useful tool for investigations of hippocampal structural changes in vivo in rat models of human disease. J. Magn. Reson. Imaging 2009;29:1027–1034. © 2009 Wiley‐Liss, Inc.</p></abstract><textClass><keywords xml:lang="en"><term xml:id="kwd1">MRI</term><term xml:id="kwd2">hippocampus</term><term xml:id="kwd3">rat</term></keywords><keywords rend="articleCategory"><term>Original Research</term></keywords><keywords rend="tocHeading1"><term>Original Research</term></keywords></textClass><langUsage><language ident="en"></language></langUsage></profileDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/890D21C2D170D8AB44DAE93271A762B36BB70590/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Wiley Subscription Services, Inc., A Wiley Company</publisherName><publisherLoc>Hoboken</publisherLoc></publisherInfo><doi registered="yes">10.1002/(ISSN)1522-2586</doi><issn type="print">1053-1807</issn><issn type="electronic">1522-2586</issn><idGroup><id type="product" value="JMRI"></id></idGroup><titleGroup><title type="main" xml:lang="en" sort="JOURNAL OF MAGNETIC RESONANCE IMAGING">Journal of Magnetic Resonance Imaging</title><title type="subtitle">An Official Journal of the International Society for Magnetic Resonance in Medicine</title><title type="short">J. 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Euclid Avenue, Campus Box 8111, St. Louis, MO 63110</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JMRI.JMRI21766.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="6"></count><count type="tableTotal" number="2"></count><count type="referenceTotal" number="33"></count><count type="wordTotal" number="4944"></count></countGroup><titleGroup><title type="main" xml:lang="en">MRI‐based large deformation high dimensional mapping of the hippocampus in rats: Development and validation of the technique</title><title type="short" xml:lang="en">Rat Hippocampal Surface Deformations</title></titleGroup><creators><creator xml:id="au1" creatorRole="author" affiliationRef="#af1" corresponding="yes"><personName><givenNames>R. Edward</givenNames><familyName>Hogan</familyName><degrees>MD</degrees></personName><contactDetails><email>hogan@wustl.edu</email></contactDetails></creator><creator xml:id="au2" creatorRole="author" affiliationRef="#af2 #af3"><personName><givenNames>Viviane</givenNames><familyName>Bouilleret</familyName><degrees>MD, PhD</degrees></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Ying Rui</givenNames><familyName>Liu</familyName></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af4"><personName><givenNames>Lei</givenNames><familyName>Wang</familyName><degrees>PhD</degrees></personName></creator><creator xml:id="au5" creatorRole="author" affiliationRef="#af5"><personName><givenNames>John P.</givenNames><familyName>Williams</familyName><degrees>PhD</degrees></personName></creator><creator xml:id="au6" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Bianca</givenNames><familyName>Jupp</familyName><degrees>PhD</degrees></personName></creator><creator xml:id="au7" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Damian</givenNames><familyName>Myers</familyName><degrees>PhD</degrees></personName></creator><creator xml:id="au8" creatorRole="author" affiliationRef="#af2 #af6 #af7"><personName><givenNames>Terence J.</givenNames><familyName>O'Brien</familyName><degrees>MD</degrees></personName></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="US" type="organization"><unparsedAffiliation>The Department of Neurology, Washington University, St. Louis, Missouri</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="AU" type="organization"><unparsedAffiliation>Departments of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</unparsedAffiliation></affiliation><affiliation xml:id="af3" countryCode="FR" type="organization"><unparsedAffiliation>Department of Neurophysiology and Epilepsy, ApHp, CHU Bicetre, Paris, France</unparsedAffiliation></affiliation><affiliation xml:id="af4" countryCode="US" type="organization"><unparsedAffiliation>Department of Psychiatry, Northwestern University, Chicago, Illinois</unparsedAffiliation></affiliation><affiliation xml:id="af5" countryCode="AU" type="organization"><unparsedAffiliation>The Howard Florey Institute, Parkville, Victoria, Australia</unparsedAffiliation></affiliation><affiliation xml:id="af6" countryCode="AU" type="organization"><unparsedAffiliation>Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</unparsedAffiliation></affiliation><affiliation xml:id="af7" countryCode="AU" type="organization"><unparsedAffiliation>The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en" type="author"><keyword xml:id="kwd1">MRI</keyword><keyword xml:id="kwd2">hippocampus</keyword><keyword xml:id="kwd3">rat</keyword></keywordGroup><fundingInfo><fundingAgency>Victorian Government Transport Accident Commission (TAC)</fundingAgency><fundingNumber>DP0023</fundingNumber></fundingInfo><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><section xml:id="abs1-1"><title type="main">Purpose</title><p>To report the detection of structural and functional biological changes in living animals using small animal in vivo MRI that complements traditional ex vivo histological techniques. We report the development and validation of the application of large deformation high dimensional mapping (HDM‐LD) segmentation for the hippocampus in the rat.</p></section><section xml:id="abs1-2"><title type="main">Materials and Methods</title><p>High resolution volumetric T2 weighted MRI images were acquired at 4.7 Tesla from six male in‐breed nonepileptic Wistar rats. Two HDM‐LD segmentations of the hippocampus (automated 1 and automated 2) were compared with the manual segmentations of two investigators who independently segmented the hippocampi (manual 1 and manual 2).</p></section><section xml:id="abs1-3"><title type="main">Results</title><p>The mean overlap for the hippocampi between automated 1 and automated 2 for the right hippocampi was 94.4% (SD 1.0) and for the left hippocampi was 94.3% (SD 2.5), while the mean overlap between automated 1 and manual 1 for the right hippocampi was 91.4% (SD 1.3) and for the left hippocampi was 91.9% (SD 1.4). Mean values for absolute differences for comparisons of all the segmentations were the following: automated 1 versus automated 2, 3.2% (SD 1.0); manual 1 versus manual 2 6.82% (SD 5.22); automated 1 versus manual 1 13.0% (SD 1.8).</p></section><section xml:id="abs1-4"><title type="main">Conclusion</title><p>HDM‐LD can be applied to obtain accurate and reproducible three‐dimensional segmentations of the hippocampus from rat MR images. HDM‐LD will be a useful tool for investigations of hippocampal structural changes in vivo in rat models of human disease. J. Magn. Reson. Imaging 2009;29:1027–1034. © 2009 Wiley‐Liss, Inc.</p></section></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>MRI‐based large deformation high dimensional mapping of the hippocampus in rats: Development and validation of the technique</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Rat Hippocampal Surface Deformations</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>MRI‐based large deformation high dimensional mapping of the hippocampus in rats: Development and validation of the technique</title></titleInfo><name type="personal"><namePart type="given">R. Edward</namePart><namePart type="family">Hogan</namePart><namePart type="termsOfAddress">MD</namePart><affiliation>The Department of Neurology, Washington University, St. Louis, Missouri</affiliation><affiliation>E-mail: hogan@wustl.edu</affiliation><affiliation>Correspondence address: Washington University in St. Louis, Department of Neurology, 660 S. 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We report the development and validation of the application of large deformation high dimensional mapping (HDM‐LD) segmentation for the hippocampus in the rat.</abstract><abstract>High resolution volumetric T2 weighted MRI images were acquired at 4.7 Tesla from six male in‐breed nonepileptic Wistar rats. Two HDM‐LD segmentations of the hippocampus (automated 1 and automated 2) were compared with the manual segmentations of two investigators who independently segmented the hippocampi (manual 1 and manual 2).</abstract><abstract>The mean overlap for the hippocampi between automated 1 and automated 2 for the right hippocampi was 94.4% (SD 1.0) and for the left hippocampi was 94.3% (SD 2.5), while the mean overlap between automated 1 and manual 1 for the right hippocampi was 91.4% (SD 1.3) and for the left hippocampi was 91.9% (SD 1.4). Mean values for absolute differences for comparisons of all the segmentations were the following: automated 1 versus automated 2, 3.2% (SD 1.0); manual 1 versus manual 2 6.82% (SD 5.22); automated 1 versus manual 1 13.0% (SD 1.8).</abstract><abstract>HDM‐LD can be applied to obtain accurate and reproducible three‐dimensional segmentations of the hippocampus from rat MR images. HDM‐LD will be a useful tool for investigations of hippocampal structural changes in vivo in rat models of human disease. J. Magn. Reson. 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