Work

Advances in MRI: From Diffusion and Quantitative Imaging to AI-Driven Motion Correction

Year: 2025

Type: article

Abstract: This work reviews motion correction and artificial intelligence (AI) applications in quantitative MRI (qMRI). It examines hardware- and software-based strategies for reducing motion artifacts and highlights how AI enhances reconstruction, segmentation, and multiparametric analysis. Applications in oncology, neurology, and cardiometabolic imaging are discussed, along with challenges in generalization, interpretability, and dataset requirements. The review emphasizes the integration of motion correction and AI to improve accuracy, reproducibility, and clinical translation of qMRI.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17136165

Author: Ramesh, Divya

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7081925065

FWCI:

Cites:

Cited by:

Related to: