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Abstract #2130

Comparative Analysis of Image Quality in Breast DWI at 3.0T: DL- RESOLVE vs. Standard RESOLVE

Zoia Laraib1, Marialena Tsarouchi2, Zeycan Kubra Cevval3, Marnix Maas2, Elisabeth Weiland4, Gregor Thoermer4, and Ritse Mann2
1Radboudumc, Nijmegen, Netherlands, 2Radboudumc, NIJMEGEN, Netherlands, 3Kastamonu Training and Research Hospital, Ankara, Turkey, 4Siemens Healthcare GmbH, Erlangen, Germany

Synopsis

Keywords: Breast, Acquisition Methods, Reconstruction

Motivation: Conventional breast DWI suffers from limitations in image quality, hindering accurate diagnosis. Advances in deep learning-enhanced DWI techniques offer potential improvements, enabling higher-quality imaging for more reliable diagnosis.

Goal(s): To evaluate effectiveness of DL-enhanced RESOLVE (DL-RESOLVE) compared to standard RESOLVE in clinical breast imaging.

Approach: DL-RESOLVE and RESOLVE breast images from 9 participants were acquired. Two independent radiologists, blinded to the sequence type, evaluated the image quality. Quantitative metrics— SNR, CNR, and ADC—were measured.

Results: DL-RESOLVE demonstrated higher SNR, reduced artifacts, improved lesion visibility and shorter acquisition time compared to RESOLVE, highlighting its potential to enhance diagnostic accuracy in breast MRI.

Impact: DL-RESOLVE leverages advanced deep learning techniques to provide contrast-free breast MRI with better image quality, reduced artifacts, and shorter acquisition time. This innovative approach enhances diagnostic accuracy and efficiency, making it a promising tool for clinical breast imaging.

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