SanteMusiqueV1, Main, Exploration, bibRecord, 000807

Improved 4D cardiac functional assessment for pediatric patients using motion-weighted image reconstruction.

Identifieur interne : 000807 ( Main/Exploration ); précédent : 000806; suivant : 000808

Improved 4D cardiac functional assessment for pediatric patients using motion-weighted image reconstruction.

Auteurs : Ziwu Zhou [États-Unis] ; Fei Han [États-Unis] ; Takegawa Yoshida [États-Unis] ; Kim-Lien Nguyen [États-Unis] ; John Paul Finn [États-Unis] ; Peng Hu [États-Unis]

Source :

Magma (New York, N.Y.) [ 1352-8661 ] ; 2018.

RBID : pubmed:30043124

Descripteurs français

English descriptors

KwdEn :
- Algorithms (MeSH), Artifacts (MeSH), Child (MeSH), Child, Preschool (MeSH), Contrast Media (MeSH), Female (MeSH), Heart Diseases (diagnostic imaging), Heart Ventricles (diagnostic imaging), Humans (MeSH), Image Interpretation, Computer-Assisted (methods), Image Processing, Computer-Assisted (methods), Imaging, Three-Dimensional (methods), Infant (MeSH), Infant, Newborn (MeSH), Magnetic Resonance Imaging (MeSH), Magnetic Resonance Imaging, Cine (MeSH), Male (MeSH), Motion (MeSH), Normal Distribution (MeSH), Phantoms, Imaging (MeSH), Respiration (MeSH), Retrospective Studies (MeSH), Time Factors (MeSH).
MESH :
- chemical : Contrast Media.
- diagnostic imaging : Heart Diseases, Heart Ventricles.
- methods : Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Imaging, Three-Dimensional.
- Algorithms, Artifacts, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Magnetic Resonance Imaging, Magnetic Resonance Imaging, Cine, Male, Motion, Normal Distribution, Phantoms, Imaging, Respiration, Retrospective Studies, Time Factors.

Abstract

OBJECTIVE

Our aim was to develop and evaluate a motion-weighted reconstruction technique for improved cardiac function assessment in 4D magnetic resonance imaging (MRI).

MATERIALS AND METHODS

A flat-topped, two-sided Gaussian kernel was used to weigh k-space data in each target cardiac phase and adjacent two temporal phases during the proposed phase-by-phase reconstruction algorithm. The proposed method (Strategy 3) was used to reconstruct 18 cardiac phases based on data acquired using a previously proposed technique [4D multiphase steady-state imaging with contrast enhancement (MUSIC) technique and its self-gated extension using rotating Cartesian k-space (ROCK-MUSIC) from 12 pediatric patients. As a comparison, the same data set was reconstructed into nine phases using a phase-by-phase method (Strategy 1), 18 phases using view sharing (Strategy 4), and 18 phases using a temporal regularized method (Strategy 2). Regional image sharpness and left ventricle volumetric measurements were used to compare the four reconstructions quantitatively.

RESULTS

Strategies 1 and 4 generated significantly sharper images of static structures (P ≤ 0.018) than Strategies 2 and 3 but significantly more blurry (P ≤ 0.021) images of the heart. Left ventricular volumetric measurements from the nine-phase reconstruction (Strategy 1) correlated moderately (r < 0.8) with the 2D cine, whereas the remaining three techniques had a higher correlation (r > 0.9). The computational burden of Strategy 2 was six times that of Strategy 3.

CONCLUSION

The proposed method of motion-weighted reconstruction improves temporal resolution in 4D cardiac imaging with a clinically practical workflow.

DOI: 10.1007/s10334-018-0694-8
PubMed: 30043124

Affiliations:

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Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms (MeSH)</term>
<term>Artifacts (MeSH)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>Contrast Media (MeSH)</term>
<term>Female (MeSH)</term>
<term>Heart Diseases (diagnostic imaging)</term>
<term>Heart Ventricles (diagnostic imaging)</term>
<term>Humans (MeSH)</term>
<term>Image Interpretation, Computer-Assisted (methods)</term>
<term>Image Processing, Computer-Assisted (methods)</term>
<term>Imaging, Three-Dimensional (methods)</term>
<term>Infant (MeSH)</term>
<term>Infant, Newborn (MeSH)</term>
<term>Magnetic Resonance Imaging (MeSH)</term>
<term>Magnetic Resonance Imaging, Cine (MeSH)</term>
<term>Male (MeSH)</term>
<term>Motion (MeSH)</term>
<term>Normal Distribution (MeSH)</term>
<term>Phantoms, Imaging (MeSH)</term>
<term>Respiration (MeSH)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Time Factors (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes (MeSH)</term>
<term>Artéfacts (MeSH)</term>
<term>Cardiopathies (imagerie diagnostique)</term>
<term>Déplacement (MeSH)</term>
<term>Enfant (MeSH)</term>
<term>Enfant d'âge préscolaire (MeSH)</term>
<term>Facteurs temps (MeSH)</term>
<term>Fantômes en imagerie (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>IRM dynamique (MeSH)</term>
<term>Imagerie par résonance magnétique (MeSH)</term>
<term>Imagerie tridimensionnelle (méthodes)</term>
<term>Interprétation d'images assistée par ordinateur (méthodes)</term>
<term>Loi normale (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Nourrisson (MeSH)</term>
<term>Nouveau-né (MeSH)</term>
<term>Produits de contraste (MeSH)</term>
<term>Respiration (MeSH)</term>
<term>Traitement d'image par ordinateur (méthodes)</term>
<term>Ventricules cardiaques (imagerie diagnostique)</term>
<term>Études rétrospectives (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" xml:lang="en"><term>Contrast Media</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Heart Diseases</term>
<term>Heart Ventricles</term>
</keywords>
<keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Cardiopathies</term>
<term>Ventricules cardiaques</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Interpretation, Computer-Assisted</term>
<term>Image Processing, Computer-Assisted</term>
<term>Imaging, Three-Dimensional</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Imagerie tridimensionnelle</term>
<term>Interprétation d'images assistée par ordinateur</term>
<term>Traitement d'image par ordinateur</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Artifacts</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Magnetic Resonance Imaging</term>
<term>Magnetic Resonance Imaging, Cine</term>
<term>Male</term>
<term>Motion</term>
<term>Normal Distribution</term>
<term>Phantoms, Imaging</term>
<term>Respiration</term>
<term>Retrospective Studies</term>
<term>Time Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term>
<term>Artéfacts</term>
<term>Déplacement</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Facteurs temps</term>
<term>Fantômes en imagerie</term>
<term>Femelle</term>
<term>Humains</term>
<term>IRM dynamique</term>
<term>Imagerie par résonance magnétique</term>
<term>Loi normale</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Produits de contraste</term>
<term>Respiration</term>
<term>Études rétrospectives</term>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>Our aim was to develop and evaluate a motion-weighted reconstruction technique for improved cardiac function assessment in 4D magnetic resonance imaging (MRI).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>MATERIALS AND METHODS</b>
</p>
<p>A flat-topped, two-sided Gaussian kernel was used to weigh k-space data in each target cardiac phase and adjacent two temporal phases during the proposed phase-by-phase reconstruction algorithm. The proposed method (Strategy 3) was used to reconstruct 18 cardiac phases based on data acquired using a previously proposed technique [4D multiphase steady-state imaging with contrast enhancement (MUSIC) technique and its self-gated extension using rotating Cartesian k-space (ROCK-MUSIC) from 12 pediatric patients. As a comparison, the same data set was reconstructed into nine phases using a phase-by-phase method (Strategy 1), 18 phases using view sharing (Strategy 4), and 18 phases using a temporal regularized method (Strategy 2). Regional image sharpness and left ventricle volumetric measurements were used to compare the four reconstructions quantitatively.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Strategies 1 and 4 generated significantly sharper images of static structures (P ≤ 0.018) than Strategies 2 and 3 but significantly more blurry (P ≤ 0.021) images of the heart. Left ventricular volumetric measurements from the nine-phase reconstruction (Strategy 1) correlated moderately (r < 0.8) with the 2D cine, whereas the remaining three techniques had a higher correlation (r > 0.9). The computational burden of Strategy 2 was six times that of Strategy 3.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The proposed method of motion-weighted reconstruction improves temporal resolution in 4D cardiac imaging with a clinically practical workflow.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2019</Year>
<Month>03</Month>
<Day>05</Day>
</DateCompleted>
<DateRevised><Year>2019</Year>
<Month>03</Month>
<Day>05</Day>
</DateRevised>
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<JournalIssue CitedMedium="Internet"><Volume>31</Volume>
<Issue>6</Issue>
<PubDate><Year>2018</Year>
<Month>Dec</Month>
</PubDate>
</JournalIssue>
<Title>Magma (New York, N.Y.)</Title>
<ISOAbbreviation>MAGMA</ISOAbbreviation>
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<ArticleTitle>Improved 4D cardiac functional assessment for pediatric patients using motion-weighted image reconstruction.</ArticleTitle>
<Pagination><MedlinePgn>747-756</MedlinePgn>
</Pagination>
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<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">Our aim was to develop and evaluate a motion-weighted reconstruction technique for improved cardiac function assessment in 4D magnetic resonance imaging (MRI).</AbstractText>
<AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">A flat-topped, two-sided Gaussian kernel was used to weigh k-space data in each target cardiac phase and adjacent two temporal phases during the proposed phase-by-phase reconstruction algorithm. The proposed method (Strategy 3) was used to reconstruct 18 cardiac phases based on data acquired using a previously proposed technique [4D multiphase steady-state imaging with contrast enhancement (MUSIC) technique and its self-gated extension using rotating Cartesian k-space (ROCK-MUSIC) from 12 pediatric patients. As a comparison, the same data set was reconstructed into nine phases using a phase-by-phase method (Strategy 1), 18 phases using view sharing (Strategy 4), and 18 phases using a temporal regularized method (Strategy 2). Regional image sharpness and left ventricle volumetric measurements were used to compare the four reconstructions quantitatively.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Strategies 1 and 4 generated significantly sharper images of static structures (P ≤ 0.018) than Strategies 2 and 3 but significantly more blurry (P ≤ 0.021) images of the heart. Left ventricular volumetric measurements from the nine-phase reconstruction (Strategy 1) correlated moderately (r < 0.8) with the 2D cine, whereas the remaining three techniques had a higher correlation (r > 0.9). The computational burden of Strategy 2 was six times that of Strategy 3.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The proposed method of motion-weighted reconstruction improves temporal resolution in 4D cardiac imaging with a clinically practical workflow.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhou</LastName>
<ForeName>Ziwu</ForeName>
<Initials>Z</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0003-2549-5081</Identifier>
<AffiliationInfo><Affiliation>Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Bioengineering, University of California, Los Angeles, CA, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Han</LastName>
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Improved 4D cardiac functional assessment for pediatric patients using motion-weighted image reconstruction.

Improved 4D cardiac functional assessment for pediatric patients using motion-weighted image reconstruction.

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