AI-based reconstruction of diffusion weighted images to improve image quality and shorten acquisition time in prostate MRI
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.
Authors
- Teresa Lemainque (ORCID: https://orcid.org/0000-0003-3167-7121)
- Johannes Peeters (ORCID: https://orcid.org/0000-0001-6639-0863)
- Alexandra Barabasch (ORCID: https://orcid.org/0000-0002-1744-6987)
- Christiane Katharina Kuhl (ORCID: https://orcid.org/0000-0001-8696-2363)
- Elene Iordanishvili (ORCID: https://orcid.org/0000-0001-5937-3790)
- Shuo Zhang (ORCID: https://orcid.org/0000-0002-1057-7255)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/4688
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00