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

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
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article

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

Teresa Lemainque, Johannes Peeters, Alexandra Barabasch, Christiane Katharina Kuhl et al.
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
Prostate Cancer Diagnosis and Treatment
article

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

Teresa Lemainque, Johannes Peeters, Alexandra Barabasch, Christiane Katharina Kuhl, Elene Iordanishvili, Shuo Zhang
article en

Abstract

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.

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
Openalex Percentile: Top 60%
Prostate Cancer Diagnosis and Treatment
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