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Quantitative three‐dimensional ultrashort echo time cones imaging of the knee joint with motion correction.
- Source :
- NMR in Biomedicine; Jan2020, Vol. 33 Issue 1, pN.PAG-N.PAG, 1p
- Publication Year :
- 2020
-
Abstract
- Knee degeneration involves all the major tissues in the joint. However, conventional MRI sequences can only detect signals from long T2 tissues such as the superficial cartilage, with little signal from the deep cartilage, menisci, ligaments, tendons and bone. It is highly desirable to develop new sequences that can detect signal from all major tissues in the knee. We aimed to develop a comprehensive quantitative three‐dimensional ultrashort echo time (3D UTE) cones imaging protocol for a truly "whole joint" evaluation of knee degeneration. The protocol included 3D UTE cones actual flip angle imaging (3D UTE‐Cones‐AFI) for T1 mapping, multiecho UTE‐Cones with fat suppression for T2* mapping, UTE‐Cones with adiabatic T1ρ (AdiabT1ρ) preparation for AdiabT1ρ mapping, and UTE‐Cones magnetization transfer (UTE‐Cones‐MT) for MT ratio (MTR) and modeling of macromolecular proton fraction (f). An elastix registration technique was used to compensate for motion during scans. Quantitative data analyses were performed on the registered data. Three knee specimens and 15 volunteers were evaluated at 3 T. The elastix motion correction algorithm worked well in correcting motion artifacts associated with relatively long scan times. Much improved curve fitting was achieved for all UTE‐Cones biomarkers with greatly reduced root mean square errors. The averaged T1, T2*, AdiabT1ρ, MTR and f for knee joint tissues of 15 healthy volunteers were reported. The 3D UTE‐Cones quantitative imaging techniques (ie, T1, T2*, AdiabT1ρ, MTR and MT modeling) together with elastix motion correction provide robust volumetric measurement of relaxation times, MTR and f of both short and long T2 tissues in the knee joint. [ABSTRACT FROM AUTHOR]
- Subjects :
- KNEE
STANDARD deviations
MAGNETIZATION transfer
CONES
MOTION
Subjects
Details
- Language :
- English
- ISSN :
- 09523480
- Volume :
- 33
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- NMR in Biomedicine
- Publication Type :
- Academic Journal
- Accession number :
- 140462190
- Full Text :
- https://doi.org/10.1002/nbm.4214