Abstract #4688

AI-based reconstruction of diffusion weighted images to improve image quality and shorten acquisition time in prostate MRI

Elene Iordanishvili¹, Teresa Lemainque², Christiane Kuhl², Shuo Zhang^2,3, Johannes Martinus Peeters⁴, and Alexandra Barabasch⁵

¹diagnostic and interventional Radiology, University hospital Aachen, Germany, Aachen, Germany, ²Diagnostic and interventional Radiology, University hospital aachen, Aachen, Germany, ³Philips GmbH Market DACH, Hamburg, Germany, ⁴Philips GmbH Market Dach, Hamburg, Germany, ⁵University hospital aachen, Aachen, Germany

Synopsis

Keywords: AI/ML Image Reconstruction, Prostate, AI, DWI

Motivation: While DWI is crucial for prostate MRI, it suffers from low SNR and CNR.

Goal(s): To use AI-based image reconstruction for DWI and compare image quality, TA and diagnostic certainty with the standard DWI.

Approach: Patients underwent standard prostate MRI protocol and received an extra DWI sequence with less averages and AI-based reconstruction. Image quality and PI-RADS were assessed by two blinded radiologists. ROI-based SNR, CNR and ADC values in lesions were calculated.

Results: TA of AI-DWI was reduced by 57 %, while image quality improved. Lesion ADC values and PIRADS assessment remained the same regardless of reconstruction. AI-DWI outperforms the standard DWI.

Impact: AI-based reconstruction of DWI shows promising results for further improving the accessibility and quality of prostate MRI while reducing scan time.

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