Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification.

ABSTRACT:

Background

Magnetic Resonance Fingerprinting (MRF) is a technique that can provide rapid quantification of multiple tissue properties. Deep learning may potentially contribute to an accelerated acquisition of MRF.

Purpose

(1) To develop a deep learning method to accelerate the acquisition for kidney MRF; (2) to evaluate its performance in healthy subjects and patients with renal masses.

Study type

Retrospective and based on internal reference data.

Subjects

Development set was 36 healthy subjects and 20 patients with renal masses. The testing set: 4 healthy subjects and 16 patients.

Field strength/sequence

3T, Steady-State Free Precession (FISP)-based MRF.

Assessment

Quantification accuracy was evaluated in healthy kidneys and renal masses using q

SUBMITTER: Yin Z 

PROVIDER: S-EPMC12810997 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature