Evaluation of AI Based Reconstruction to Improve image Quality of T2w Images of the Breast

Motivation: Breast MRI has exceptional sensitivity but is limited by image quality and several artifacts. Advancements in AI-based reconstruction hold promise for improved image quality and efficiency. Goal(s): This study assesses the impact of applying a vendor AI-based reconstruction on breast MRI at 3T. Approach: This study retroactively reconstructed 45 series using a commercially available AI-based reconstruction. Three board-certified radiologists scored traditional and reconstructed sequences for quality and improvement. Results: AI reconstruction showed more conspicuous margins as well as an enhanced noise texture. 54 cases showed improvement, 63 showed no change, and 15 exhibited degraded quality. Higher-quality exams were associated with the greatest improvement. Impact: A retrospective analysis of a recent FDA approved AI based reconstruction method to improve MRI image quality for breast studies.