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Data and Implementation Materials for “Dynamic Frequency Selection for Adaptive and Accelerated CEST MRI”

Year: 2026

Type: dataset

Abstract: This project will provide resources for a dynamic reconstruction-guided adaptive frequency-offset selection framework for accelerated CEST MRI. The method begins with a small set of informative sparse frequency offsets, reconstructs a dense Z-spectrum using deep learning, and then iteratively selects the next frequency offset based on predicted information gain from the evolving reconstruction. The framework supports variable sparse inputs without retraining and can terminate acquisition using inter-iteration reconstruction convergence.

Source: Figshare

DOI: 10.6084/m9.figshare.33311811

Authors: Chathumi Samaraweera, Mariano Uberti, Adarsha Bhattarai, Carter Richardson, Anand Thiraviyam, Afshin Salehi, Aditya Bade, Yutong Liu, Dongming Peng

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7203972846

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