Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion‐weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods-Reference-Cited by-同舟云学术

Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion‐weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods

Published:2019-05-09 Issue:5 Volume:50 Page:1478-1488
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Vidić Igor¹,Jerome Neil P.²³^ORCID,Bathen Tone F.²³^ORCID,Goa Pål E.¹³,While Peter T.³

Affiliation:

1. Department of PhysicsNTNU, Norwegian University of Science and Technology Trondheim Norway

2. Department of Circulation and Medical ImagingNTNU, Norwegian University of Science and Technology Trondheim Norway

3. Department of Radiology and Nuclear MedicineSt. Olav's University Hospital Trondheim Norway

Funder

Helse Midt-Norge

Norges Teknisk-Naturvitenskapelige Universitet

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26772

Reference37 articles.

1. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

2. Impact of the calculation algorithm on biexponential fitting of diffusion-weighted MRI in upper abdominal organs

3. Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer at 3.0 tesla: Comparison of different curve-fitting methods

4. IVIM in the Body: A General Overview

5. Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohort

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