View in EDS HTML Full Text PDF Full Text

Deep learning–based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.

Saved in:
Bibliographic Details
Title: Deep learning–based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.
Authors: Shiraishi, Kaori1 (AUTHOR), Nakaura, Takeshi1 (AUTHOR) kff00712@nifty.com, Uetani, Hiroyuki1 (AUTHOR), Nagayama, Yasunori1 (AUTHOR), Kidoh, Masafumi1 (AUTHOR), Kobayashi, Naoki1 (AUTHOR), Morita, Kosuke2 (AUTHOR), Yamahita, Yuichi3 (AUTHOR), Tanaka, Yasuhito4 (AUTHOR), Baba, Hideo5 (AUTHOR), Hirai, Toshinori1 (AUTHOR)
Source: European Radiology. Nov2023, Vol. 33 Issue 11, p7585-7594. 10p.
Subjects: Magnetic resonance imaging, Magnetic resonance, Signal-to-noise ratio, Bile ducts, Three-dimensional imaging
Abstract: Objectives: To evaluate the image quality of the 3D hybrid profile order technique and deep-learning-based reconstruction (DLR) for 3D magnetic resonance cholangiopancreatography (MRCP) within a single breath-hold (BH) at 3 T magnetic resonance imaging (MRI). Methods: This retrospective study included 32 patients with biliary and pancreatic disorders. BH images were reconstructed with and without DLR. The signal-to-noise ratio (SNR), contrast, contrast-to-noise ratio (CNR) between the common bile duct (CBD) and periductal tissues, and full width at half maximum (FWHM) of CBD on 3D-MRCP were evaluated quantitatively. Two radiologists scored image noise, contrast, artifacts, blur, and overall image quality of the three image types using a 4-point scale. Quantitative and qualitative scores were compared using the Friedman test and post hoc Nemenyi test. Results: The SNR and CNR were not significantly different when under respiratory gating- and BH-MRCP without DLR. However, they were significantly higher under BH with DLR than under respiratory gating (SNR, p = 0.013; CNR, p = 0.027). The contrast and FWHM of MRCP under BH with and without DLR were lower than those under respiratory gating (contrast, p < 0.001; FWHM, p = 0.015). Qualitative scores for noise, blur, and overall image quality were higher under BH with DLR than those under respiratory gating (blur, p = 0.003; overall, p = 0.008). Conclusions: The combination of the 3D hybrid profile order technique and DLR is useful for MRCP within a single BH and does not lead to the deterioration of image quality and space resolution at 3 T MRI. Clinical relevance statement: Considering its advantages, this sequence might become the standard protocol for MRCP in clinical practice, at least at 3.0 T. Key Points: • The 3D hybrid profile order can achieve MRCP within a single breath-hold without a decrease in spatial resolution. • The DLR significantly improved the CNR and SNR of BH-MRCP. • The 3D hybrid profile order technique with DLR reduces the deterioration of image quality in MRCP within a single breath-hold. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 173151699
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep learning–based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Shiraishi%2C+Kaori%22&quot;&gt;Shiraishi, Kaori&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Nakaura%2C+Takeshi%22&quot;&gt;Nakaura, Takeshi&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; kff00712@nifty.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Uetani%2C+Hiroyuki%22&quot;&gt;Uetani, Hiroyuki&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Nagayama%2C+Yasunori%22&quot;&gt;Nagayama, Yasunori&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kidoh%2C+Masafumi%22&quot;&gt;Kidoh, Masafumi&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kobayashi%2C+Naoki%22&quot;&gt;Kobayashi, Naoki&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Morita%2C+Kosuke%22&quot;&gt;Morita, Kosuke&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yamahita%2C+Yuichi%22&quot;&gt;Yamahita, Yuichi&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tanaka%2C+Yasuhito%22&quot;&gt;Tanaka, Yasuhito&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Baba%2C+Hideo%22&quot;&gt;Baba, Hideo&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Hirai%2C+Toshinori%22&quot;&gt;Hirai, Toshinori&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22European+Radiology%22&quot;&gt;European Radiology&lt;/searchLink&gt;. Nov2023, Vol. 33 Issue 11, p7585-7594. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Magnetic+resonance+imaging%22&quot;&gt;Magnetic resonance imaging&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Magnetic+resonance%22&quot;&gt;Magnetic resonance&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Signal-to-noise+ratio%22&quot;&gt;Signal-to-noise ratio&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Bile+ducts%22&quot;&gt;Bile ducts&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Three-dimensional+imaging%22&quot;&gt;Three-dimensional imaging&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: To evaluate the image quality of the 3D hybrid profile order technique and deep-learning-based reconstruction (DLR) for 3D magnetic resonance cholangiopancreatography (MRCP) within a single breath-hold (BH) at 3 T magnetic resonance imaging (MRI). Methods: This retrospective study included 32 patients with biliary and pancreatic disorders. BH images were reconstructed with and without DLR. The signal-to-noise ratio (SNR), contrast, contrast-to-noise ratio (CNR) between the common bile duct (CBD) and periductal tissues, and full width at half maximum (FWHM) of CBD on 3D-MRCP were evaluated quantitatively. Two radiologists scored image noise, contrast, artifacts, blur, and overall image quality of the three image types using a 4-point scale. Quantitative and qualitative scores were compared using the Friedman test and post hoc Nemenyi test. Results: The SNR and CNR were not significantly different when under respiratory gating- and BH-MRCP without DLR. However, they were significantly higher under BH with DLR than under respiratory gating (SNR, p = 0.013; CNR, p = 0.027). The contrast and FWHM of MRCP under BH with and without DLR were lower than those under respiratory gating (contrast, p &lt; 0.001; FWHM, p = 0.015). Qualitative scores for noise, blur, and overall image quality were higher under BH with DLR than those under respiratory gating (blur, p = 0.003; overall, p = 0.008). Conclusions: The combination of the 3D hybrid profile order technique and DLR is useful for MRCP within a single BH and does not lead to the deterioration of image quality and space resolution at 3 T MRI. Clinical relevance statement: Considering its advantages, this sequence might become the standard protocol for MRCP in clinical practice, at least at 3.0 T. Key Points: • The 3D hybrid profile order can achieve MRCP within a single breath-hold without a decrease in spatial resolution. • The DLR significantly improved the CNR and SNR of BH-MRCP. • The 3D hybrid profile order technique with DLR reduces the deterioration of image quality in MRCP within a single breath-hold. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=173151699
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00330-023-09703-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 7585
    Subjects:
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Magnetic resonance
        Type: general
      – SubjectFull: Signal-to-noise ratio
        Type: general
      – SubjectFull: Bile ducts
        Type: general
      – SubjectFull: Three-dimensional imaging
        Type: general
    Titles:
      – TitleFull: Deep learning–based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shiraishi, Kaori
      – PersonEntity:
          Name:
            NameFull: Nakaura, Takeshi
      – PersonEntity:
          Name:
            NameFull: Uetani, Hiroyuki
      – PersonEntity:
          Name:
            NameFull: Nagayama, Yasunori
      – PersonEntity:
          Name:
            NameFull: Kidoh, Masafumi
      – PersonEntity:
          Name:
            NameFull: Kobayashi, Naoki
      – PersonEntity:
          Name:
            NameFull: Morita, Kosuke
      – PersonEntity:
          Name:
            NameFull: Yamahita, Yuichi
      – PersonEntity:
          Name:
            NameFull: Tanaka, Yasuhito
      – PersonEntity:
          Name:
            NameFull: Baba, Hideo
      – PersonEntity:
          Name:
            NameFull: Hirai, Toshinori
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 09387994
          Numbering:
            – Type: volume
              Value: 33
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: European Radiology
              Type: main
ResultId 1