Frequency-Sensitive MRF (FS-MRF) for improved multi-tissue compartment modelling: a glimpse to tissue frequency from RF frequency

Motivation: Can we encode the tissue's frequency by using RF's frequency?Goal(s): To distinguish tissue components based on their unique frequencies. Approach: Based on 3D MRF technique, we introduced frequency-sensitive module by varying the RF's frequency TR-to-TR. Results: We are able to simultaneously obtain T1, T2 and frequency maps, which help improve the image fedelity and quantitative accuracy. Furthermore, it could provide a tool to differentiate the tissue components based on their frequency. Impact: If one is interested in quantifying tissues with a frequency shift compared to water, such as fat, myelin water and some amino acids, this paper can offer a brand new angle with its noval mechanism.

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/10.58530/2024/4336
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frequency-Sensitive MRF (FS-MRF) for improved multi-tissue compartment modelling: a glimpse to tissue frequency from RF frequency

Zheren Zhu, Congyu Liao, Rupsa Bhattacharjee, Adam B. Kerr 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
Electrical and Bioimpedance Tomography
article

Frequency-Sensitive MRF (FS-MRF) for improved multi-tissue compartment modelling: a glimpse to tissue frequency from RF frequency

Zheren Zhu, Congyu Liao, Rupsa Bhattacharjee, Adam B. Kerr, Kawin Setsompop, Yang Yang, Xiaozhi Cao, Zhixing Wang
article en

Abstract

Motivation: Can we encode the tissue's frequency by using RF's frequency?Goal(s): To distinguish tissue components based on their unique frequencies. Approach: Based on 3D MRF technique, we introduced frequency-sensitive module by varying the RF's frequency TR-to-TR. Results: We are able to simultaneously obtain T1, T2 and frequency maps, which help improve the image fedelity and quantitative accuracy. Furthermore, it could provide a tool to differentiate the tissue components based on their frequency. Impact: If one is interested in quantifying tissues with a frequency shift compared to water, such as fat, myelin water and some amino acids, this paper can offer a brand new angle with its noval mechanism.

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
Clean water and sanitation
Openalex Percentile: Top 81%
Electrical and Bioimpedance Tomography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Frequency-Sensitive MRF (FS-MRF) for improved multi-tissue compartment modelling: a glimpse to tissue frequency from RF frequency — Zheren Zhu, Congyu Liao, 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 (2024) | TGRS Research Map | TGRS