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  4. Fast Quantification of Creatine Kinase Activity by Phosphorus Magnetic Resonance Fingerprinting
 
doctoral thesis

Fast Quantification of Creatine Kinase Activity by Phosphorus Magnetic Resonance Fingerprinting

Widmaier, Mark Stephan  
2025

A novel fast 3D-31P-B+1 mapping method called the frequency-selective Double-AngleMethod (fDAM) has been developed. This method integrates a 3D weighted stack of spiral gradient echo acquisitions with a frequency-selective pulse to efficiently map B+1 fields based on the phosphocreatine (PCr) signal at 7 T. The protocol has been optimized using simulations and validated through both phantom experiments and skeletal muscle applications. Results showed that fDAMnot only achieves a high correlation (r = 0.94) with the classical DAM (cDAM) but also provides faster and more extensive coverage. 3D-31P-B+1 mapping of the human calf muscle was completed in just 11min using fDAM compared to 24 minutes using cDAM. Furthermore, the first full-brain 31P 3D B+1 mapping was achieved in 13 minutes using a 1 Tx/32 Rx coil. These findings show that fDAM is able to provide B+1 mapping for accurate transmit field correction within the same scanning session of other 31P-MRS/I applications. A new magnetization transfer (MT)-31P-Magnetic resonance fingerprinting (MRF) approach was developed to measure the creatine kinase (CK) metabolic reaction rate (kCK) between PCr and adenosine triphosphate (ATP) in the human brain. This method extends the MRF framework to overcome conventional challenges in 31P-Measurement, such as long scan times and high specific absorption rates. A novel nested iteration interpolation method (NIIM) was introduced to efficiently handle the growing complexity of the multiparametric dictionary matching process. The combination ofMT-31P-MRF with NIIM allows for accurate estimations of the longitudinal relaxation times T1PCr and T1ATP, ATP/PCr concentration ratios Cr, B1, off resonance foff and kCK, showing excellent agreement with existing techniques like the exchange kinetics by band inversion transfer (EBIT) method and values reported in literature. This method demonstrated a significant reduction in scan time, from 17 minutes 4 seconds using EBIT to just 4 minutes 15 seconds with MT-31P-MRF, while maintaining similar or better reproducibility (with coefficients of variation less than 12%). Further advancing this approach, the MT-31P-MRF was extended to perform 3D CreatineKinase Imaging (CKI), delivering the first whole-brain kCK maps. Whole-brain CKI were acquired on a clinical 7T MRI scanner, generating high-resolution CK ratemaps in 49minutes 30 seconds. Further, within-session reproducibility assessment showed amean coefficient of variation below 11% and suggested that scans could be completed within 25minutes. In addition to kCK mapping, CKI provided simultaneous mapping of Cr, T1PCr values, and phosphorus-based B0 maps with a spatial resolution of 7.2 × 7.2 × 20mm3. In a proof-of-concept functional study, functional CKI (fCKI) was used to demonstrate CK activation in the brain's visual cortex in response to visual stimulation, revealing a mean 17% increase in CK reaction rates in the visual cortex. This represents the first 3D CK activation map in the human brain, providing a novel functional imaging methodology to gain insights into brain functional bioenergetics

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Type
doctoral thesis
DOI
10.5075/epfl-thesis-10650
Author(s)
Widmaier, Mark Stephan  

EPFL

Advisors
Gruetter, Rolf  
•
Xin, Lijing  
Jury

Prof. Dimitri Nestor Alice Van De Ville (président) ; Prof. Rolf Gruetter, Prof. Lijing Xin (directeurs) ; Prof. Lyndon Emsley, Prof. Xin Yu, Prof. Uzay Emir (rapporteurs)

Date Issued

2025

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2025-01-24

Thesis number

10650

Total of pages

138

Subjects

31P MRS

•

Phosphorus Imaging

•

Creatine Kinase

•

MRF

•

brain energy metabolism

•

MT-31P-MRF

•

fDAM

•

functional Creatine Kinase Imaging

•

Longitudinal Relaxation

EPFL units
LIFMET  
Faculty
SB  
School
IPHYS  
Doctoral School
EDEE  
Available on Infoscience
January 15, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/242773
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