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Updated: Jul 10, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
Recent Developments in Speeding up Prostate MRI
Nida Mir1, Stefan J Fransen2, Jelmer M Wolterink3
1Magnetic Detection and Imaging, Technical Medical Centre, University of Twente, Enschede, Netherlands.
Abstract:
The increasing incidence of prostate cancer cases worldwide has led to a tremendous demand for multiparametric MRI (mpMRI). In order to relieve the pressure on healthcare, reducing mpMRI scan time is necessary. This review focuses on recent techniques proposed for faster mpMRI acquisition, specifically shortening T2W and DWI sequences while adhering to the PI-RADS (Prostate Imaging Reporting and Data System) guidelines. Speeding up techniques in the reviewed studies rely on more efficient sampling of data, ranging from the acquisition of fewer averages or b-values to adjustment of the pulse sequence. Novel acquisition methods based on undersampling techniques are often followed by suitable reconstruction methods typically incorporating synthetic priori information. These reconstruction methods often use artificial intelligence for various tasks such as denoising, artifact correction, improvement of image quality, and in the case of DWI, for the generation of synthetic high b-value images or apparent diffusion coefficient maps. Reduction of mpMRI scan time is possible, but it is crucial to maintain diagnostic quality, confirmed through radiological evaluation, to integrate the proposed methods into the standard mpMRI protocol. Additionally, before clinical integration, prospective studies are recommended to validate undersampling techniques to avoid potentially inaccurate results demonstrated by retrospective analysis. This review provides an overview of recently proposed techniques, discussing their implementation, advantages, disadvantages, and diagnostic performance according to PI-RADS guidelines compared to conventional methods. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 3.
Insights
Faster prostate cancer MRI scans are achievable by reducing sequence times while maintaining diagnostic quality. Techniques like undersampling and AI reconstruction show promise for quicker multiparametric MRI (mpMRI) acquisition.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
- Oncology Imaging
Background:
- Rising global prostate cancer incidence necessitates efficient diagnostic tools.
- Multiparametric MRI (mpMRI) is crucial for prostate cancer diagnosis, but lengthy scan times strain healthcare resources.
- Reducing mpMRI scan duration is essential for improving patient throughput and accessibility.
Purpose of the Study:
- To review and analyze recent techniques for accelerating prostate cancer mpMRI acquisition.
- To evaluate methods for shortening T2W and DWI sequences while adhering to PI-RADS guidelines.
- To discuss the implementation, benefits, drawbacks, and diagnostic performance of faster mpMRI techniques.
Main Methods:
- Review of novel acquisition techniques focusing on efficient data sampling (fewer averages, b-values).
- Analysis of undersampling strategies combined with AI-powered reconstruction methods (denoising, artifact correction, synthetic image generation).
- Evaluation of pulse sequence adjustments and novel acquisition sequences.
Main Results:
- Various techniques can reduce mpMRI scan time by optimizing data acquisition and reconstruction.
- AI plays a key role in enhancing image quality and generating essential diffusion-weighted imaging (DWI) data.
- Diagnostic performance, assessed via PI-RADS guidelines, is maintained in reviewed studies.
Conclusions:
- Reducing mpMRI scan time is feasible through advanced acquisition and AI-driven reconstruction.
- Maintaining diagnostic quality is paramount for clinical integration of accelerated techniques.
- Prospective validation is recommended before widespread clinical adoption to ensure accuracy and reliability.

