Optimizing pseudo‐spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom.

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Title: Optimizing pseudo‐spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom.
Authors: Wassenaar, Nienke P. M.1,2 (AUTHOR) n.p.wassenaar@amsterdamumc.nl, Gurney‐Champion, Oliver J.1,2 (AUTHOR), van Schelt, Anne‐Sophie1,2 (AUTHOR), Bruijnen, Tom3,4 (AUTHOR), van Laarhoven, Hanneke W. M.2,5 (AUTHOR), Stoker, Jaap1,2,6 (AUTHOR), Nederveen, Aart J.1 (AUTHOR), Runge, Jurgen H.1,7 (AUTHOR), Schrauben, Eric M.1 (AUTHOR)
Source: Magnetic Resonance in Medicine. Nov2024, Vol. 92 Issue 5, p2051-2064. 14p.
Subjects: Pancreatic duct, Contrast media, Parameter estimation, Pancreatic cancer, Magnetic resonance imaging
Abstract: Purpose: For reliable DCE MRI parameter estimation, k‐space undersampling is essential to meet resolution, coverage, and signal‐to‐noise requirements. Pseudo‐spiral (PS) sampling achieves this by sampling k‐space on a Cartesian grid following a spiral trajectory. The goal was to optimize PS k‐space sampling patterns for abdomin al DCE MRI. Methods: The optimal PS k‐space sampling pattern was determined using an anthropomorphic digital phantom. Contrast agent inflow was simulated in the liver, spleen, pancreas, and pancreatic ductal adenocarcinoma (PDAC). A total of 704 variable sampling and reconstruction approaches were created using three algorithms using different parametrizations to control sampling density, halfscan and compressed sensing regularization. The sampling patterns were evaluated based on image quality scores and the accuracy and precision of the DCE pharmacokinetic parameters. The best and worst strategies were assessed in vivo in five healthy volunteers without contrast agent administration. The best strategy was tested in a DCE scan of a PDAC patient. Results: The best PS reconstruction was found to be PS‐diffuse based, with quadratic distribution of readouts on a spiral, without random shuffling, halfscan factor of 0.8, and total variation regularization of 0.05 in the spatial and temporal domains. The best scoring strategy showed sharper images with less prominent artifacts in healthy volunteers compared to the worst strategy. Our suggested DCE sampling strategy also showed high quality DCE images in the PDAC patient. Conclusion: Using an anthropomorphic digital phantom, we identified an optimal PS sampling strategy for abdominal DCE MRI, and demonstrated feasibility in a PDAC patient. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell 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.)
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  Data: Optimizing pseudo‐spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom.
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  Data: <searchLink fieldCode="AR" term="%22Wassenaar%2C+Nienke+P%2E+M%2E%22">Wassenaar, Nienke P. M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> n.p.wassenaar@amsterdamumc.nl</i><br /><searchLink fieldCode="AR" term="%22Gurney‐Champion%2C+Oliver+J%2E%22">Gurney‐Champion, Oliver J.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Schelt%2C+Anne‐Sophie%22">van Schelt, Anne‐Sophie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bruijnen%2C+Tom%22">Bruijnen, Tom</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Laarhoven%2C+Hanneke+W%2E+M%2E%22">van Laarhoven, Hanneke W. M.</searchLink><relatesTo>2,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stoker%2C+Jaap%22">Stoker, Jaap</searchLink><relatesTo>1,2,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nederveen%2C+Aart+J%2E%22">Nederveen, Aart J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Runge%2C+Jurgen+H%2E%22">Runge, Jurgen H.</searchLink><relatesTo>1,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schrauben%2C+Eric+M%2E%22">Schrauben, Eric M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Nov2024, Vol. 92 Issue 5, p2051-2064. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Pancreatic+duct%22">Pancreatic duct</searchLink><br /><searchLink fieldCode="DE" term="%22Contrast+media%22">Contrast media</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Pancreatic+cancer%22">Pancreatic cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: For reliable DCE MRI parameter estimation, k‐space undersampling is essential to meet resolution, coverage, and signal‐to‐noise requirements. Pseudo‐spiral (PS) sampling achieves this by sampling k‐space on a Cartesian grid following a spiral trajectory. The goal was to optimize PS k‐space sampling patterns for abdomin al DCE MRI. Methods: The optimal PS k‐space sampling pattern was determined using an anthropomorphic digital phantom. Contrast agent inflow was simulated in the liver, spleen, pancreas, and pancreatic ductal adenocarcinoma (PDAC). A total of 704 variable sampling and reconstruction approaches were created using three algorithms using different parametrizations to control sampling density, halfscan and compressed sensing regularization. The sampling patterns were evaluated based on image quality scores and the accuracy and precision of the DCE pharmacokinetic parameters. The best and worst strategies were assessed in vivo in five healthy volunteers without contrast agent administration. The best strategy was tested in a DCE scan of a PDAC patient. Results: The best PS reconstruction was found to be PS‐diffuse based, with quadratic distribution of readouts on a spiral, without random shuffling, halfscan factor of 0.8, and total variation regularization of 0.05 in the spatial and temporal domains. The best scoring strategy showed sharper images with less prominent artifacts in healthy volunteers compared to the worst strategy. Our suggested DCE sampling strategy also showed high quality DCE images in the PDAC patient. Conclusion: Using an anthropomorphic digital phantom, we identified an optimal PS sampling strategy for abdominal DCE MRI, and demonstrated feasibility in a PDAC patient. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell 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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.30213
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        Text: English
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        PageCount: 14
        StartPage: 2051
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      – SubjectFull: Pancreatic duct
        Type: general
      – SubjectFull: Contrast media
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      – SubjectFull: Parameter estimation
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      – SubjectFull: Pancreatic cancer
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      – SubjectFull: Magnetic resonance imaging
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      – TitleFull: Optimizing pseudo‐spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom.
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              M: 11
              Text: Nov2024
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              Y: 2024
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