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Impact of Non-Contrast Enhanced Imaging Input Sequences on the Generation of Virtual Contrast-Enhanced Breast MRI Scans using Neural Networks

2024-05-06

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Virtual contrast-enhanced (vCE) imaging techniques are an emerging topic of research in breast MRI. <h4>Purpose</h4> To investigate how different combinations of T1-weighted (T1w), T2-weighted (T2w), and diffusion-weighted imaging (DWI) impact the performance of vCE breast MRI. <h4>Materials and Methods</h4> The IRB-approved, retrospective study included 1064 multiparametric b...

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Literature Corpus work
327855d5-ca24-56c8-9757-89f30d77fdae
DOI
10.1101/2024.05.03.24306067
Open publication

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Impact of Non-Contrast Enhanced Imaging Input Sequences on the Generation of Virtual Contrast-Enhanced Breast MRI Scans using Neural NetworksDOI 10.1101/2024.05.03.24306067
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