Magnetization‐prepared spoiled gradient‐echo snapshot imaging for efficient measurement of R 2 ‐R 1ρ in knee cartilage
| Autor: | Emma Bahroos, Sharmila Majumdar, Valentina Pedoia, Misung Han, Radhika Tibrewala |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Cartilage
Articular Scanner Materials science Knee Joint R2-R1ρ knee cartilage Biomedical Engineering Bioengineering Osteoarthritis quantitative MRI Article Phantoms R-2-R-1 rho Imaging phantom Imaging Magnetization relaxation Clinical Research In vivo medicine Humans Knee Radiology Nuclear Medicine and imaging screening and diagnosis Phantoms Imaging Arthritis Cartilage Relaxation (NMR) Osteoarthritis Knee medicine.disease Magnetic Resonance Imaging Detection Nuclear Medicine & Medical Imaging medicine.anatomical_structure Bloch equations Musculoskeletal Biomedical Imaging Articular 4.2 Evaluation of markers and technologies Biomedical engineering |
| Zdroj: | Magnetic resonance in medicine, vol 87, iss 2 Magn Reson Med |
| ISSN: | 1522-2594 0740-3194 |
| DOI: | 10.1002/mrm.29024 |
| Popis: | PURPOSE: To validate the potential of quantifying R(2)-R(1ρ) using one pair of signals with T(1ρ) preparation and T(2) preparation incorporated to magnetization-prepared angle-modulated partitioned k-space spoiled gradient-echo snapshots (MAPSS) acquisition and to find an optimal preparation time (T(prep)) for in vivo knee MRI. METHODS: Bloch equation simulations were first performed to assess the accuracy of quantifying R(2)-R(1ρ) using T(1ρ)- and T(2)-prepared signals with an equivalent T(prep). For validation of this technique in comparison to the conventional approach that calculates R(2)-R(1ρ) after fitting both T(2) and T(1ρ), phantom experiments and in vivo validation with five healthy subjects and five osteoarthritis patients were performed at a clinical 3T scanner. RESULTS: Bloch equation simulations demonstrated that the accuracy of this efficient R(2)-R(1ρ) quantification method and the optimal T(prep) can be affected by image SNR and tissue relaxation times, but quantification can be closest to the reference with an around 25 ms T(prep) for knee cartilage. Phantom experiments demonstrated that the proposed method can depict R(2)-R(1ρ) changes with agarose gel concentration. With in vivo data, significant correlation was observed between cartilage R(2)-R(1ρ) measured from the conventional and the proposed methods, and a T(prep) of 25.6 ms provided the most agreement by Bland-Altman analysis. R(2)-R(1ρ) was significantly lower in patients than in healthy subjects for most cartilage compartments. CONCLUSION: As a potential biomarker to indicate cartilage degeneration, R(2)-R(1ρ) can be efficiently measured using one pair of T(1ρ)-prepared and T(2)-prepared signals with an optimal T(prep) considering cartilage relaxation times and image SNR. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text