Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time.
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| Title: | Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time. |
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| Authors: | Jurka M; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic., Macova I; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic., Wagnerova M; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic., Capoun O; Department of Urology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic., Jakubicek R; Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic., Ourednicek P; Department of Medical Imaging, St. Anna University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic., Lambert L; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic., Burgetova A; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic. |
| Source: | Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2024 May 01; Vol. 14 (5), pp. 3534-3543. Date of Electronic Publication: 2024 Apr 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2223-4292 (Print) Linking ISSN: 22234306 NLM ISO Abbreviation: Quant Imaging Med Surg Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38720867 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jurka+M%22">Jurka M</searchLink>; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Macova+I%22">Macova I</searchLink>; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Wagnerova+M%22">Wagnerova M</searchLink>; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Capoun+O%22">Capoun O</searchLink>; Department of Urology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Jakubicek+R%22">Jakubicek R</searchLink>; Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Ourednicek+P%22">Ourednicek P</searchLink>; Department of Medical Imaging, St. Anna University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Lambert+L%22">Lambert L</searchLink>; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Burgetova+A%22">Burgetova A</searchLink>; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101577942%22">Quantitative imaging in medicine and surgery</searchLink> [Quant Imaging Med Surg] 2024 May 01; Vol. 14 (5), pp. 3534-3543. <i>Date of Electronic Publication: </i>2024 Apr 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22AME+Pub%22">AME Pub </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101577942 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2223-4292 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222234306%22">22234306 </searchLink><i>NLM ISO Abbreviation: </i>Quant Imaging Med Surg <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38720867 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21037/qims-23-1488 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3534 Titles: – TitleFull: Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jurka M – PersonEntity: Name: NameFull: Macova I – PersonEntity: Name: NameFull: Wagnerova M – PersonEntity: Name: NameFull: Capoun O – PersonEntity: Name: NameFull: Jakubicek R – PersonEntity: Name: NameFull: Ourednicek P – PersonEntity: Name: NameFull: Lambert L – PersonEntity: Name: NameFull: Burgetova A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2024 May 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2223-4292 Numbering: – Type: volume Value: 14 – Type: issue Value: 5 Titles: – TitleFull: Quantitative imaging in medicine and surgery Type: main |
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