title: Fast diffusion-weighted steady state free precession imaging of in vivo knee cartilage.
abstract: Quantification of molecular diffusion with steady state free precession (SSFP) is complicated by the fact that diffusion effects accumulate over several repetition times (TR) leading to complex signal dependencies on transverse and longitudinal magnetization paths. This issue is commonly addressed by setting TR > T(2), yielding strong attenuation of all higher modes, except of the shortest ones. As a result, signal attenuation from diffusion becomes T(2) independent but signal-to-noise ratio (SNR) and sequence efficiency are remarkably poor. In this work, we present a new approach for fast in vivo steady state free precession diffusion-weighted imaging of cartilage with TR << T(2) offering a considerable increase in signal-to-noise ratio and sequence efficiency. At a first glance, prominent coupling between magnetization paths seems to complicate quantification issues in this limit, however, it is observed that diffusion effects become rather T(2) (ΔD ≈ 1/10 ΔT(2)) but not T(1) independent (ΔD ≈ 1/2 ΔT(1)) for low flip angles α ≈ 10 - 15°. As a result, fast high-resolution (0.35 × 0.35 - 0.50 × 0.50 mm(2) in-plane resolution) quantitative diffusion-weighted imaging of human articular cartilage is demonstrated at 3.0 T in a clinical setup using estimated T(1) and T(2) or a combination of measured T(1) and estimated T(2) values.
authors.affiliation: Division of Radiological Physics, Department of Medical Radiology, University of Basel Hospital, Basel, Switzerland. oliver.bieri@unibas.ch
authors.forename: O
authors.initials: O
authors.lastname: Bieri
authors.forename: C
authors.initials: C
authors.lastname: Ganter
authors.forename: G H
authors.initials: GH
authors.lastname: Welsch
authors.forename: S
authors.initials: S
authors.lastname: Trattnig
authors.forename: T C
authors.initials: TC
authors.lastname: Mamisch
authors.forename: K
authors.initials: K
authors.lastname: Scheffler
mesh_terms: D002358:Cartilage, Articular / Q000033:anatomy & histology*; D003198:Computer Simulation; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional; D007719:Knee Joint / Q000033:anatomy & histology*; D008962:Models, Theoretical; D012680:Sensitivity and Specificity