Ultra–High-Field MRI of Knee Joint at 7.0T: Preliminary Experience

Pakin, S. Kubilay; Cavalcanti, Conrado Furtado de Albuquerque; Rocca, Renata La; Schweitzer, Mark E.; Regatte, Ravinder R.

doi:10.1016/j.acra.2006.06.007

Cited by 42 publications

(36 citation statements)

References 9 publications

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“…This may lead to a significantly more accurate diagnosis of pathologies within the musculoskeletal system. A comparison of 3-T and 7-T scans in our study demonstrated significant SNR and CNR increases, in agreement with previous studies [1][2][3]. This study examined the reproducibility of quantitative measurements of cartilage morphology and trabecular bone structure, and indicated comparable reproducibility with those reported at lower field strengths [13,16] for both measurements.…”

Section: Discussionsupporting

confidence: 91%

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Reproducibility of the quantitative assessment of cartilage morphology and trabecular bone structure with magnetic resonance imaging at 7 T

Zuo¹,

Bolbos²,

Hammond³

et al. 2008

Magnetic Resonance Imaging

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To assess the reproducibility of quantitative measurements of cartilage morphology and trabecular bone structure of the knee at 7 T, high-resolution sagittal spoiled gradient-echo images and highresolution axial fully refocused steady-state free-precession (SSFP) images from six healthy volunteers were acquired with a 7-T scanner. The subjects were repositioned between repeated scans to test the reproducibility of the measurements. The reproducibility of each measurement was evaluated using the coefficient(s) of variation (CV). The computed CV were 1.13% and 1.55% for cartilage thickness and cartilage volume, respectively, and were 2.86%, 1.07%, 2.27% and 3.30% for apparent bone volume over total volume fraction (app.BV/TV), apparent trabecular number (app.Tb.N), apparent trabecular separation (app.Tb.Sp) and apparent trabecular thickness (app.Tb.Th), respectively. The results demonstrate that quantitative assessment of cartilage morphology and trabecular bone structure is reproducible at 7 T and motivates future musculoskeletal applications seeking the high-field strength's superior signal-to-noise ratio.

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Section: Discussionsupporting

confidence: 91%

“…Some preliminary studies have examined SNR, contrast-to-noise ratio (CNR) and relaxation times in knee joints at ultra-high fields [1][2][3]. However, to our knowledge, no studies of quantitative musculoskeletal imaging have been published.…”

Section: Introductionmentioning

confidence: 99%

Reproducibility of the quantitative assessment of cartilage morphology and trabecular bone structure with magnetic resonance imaging at 7 T

Zuo¹,

Bolbos²,

Hammond³

et al. 2008

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…High-field strength MR scanners can now acquire sub-millimeter images of clinical quality [Pakin et al 2006]. Parallel imaging methods can be used to dramatically reduce scan times [Blaimer et al 2004].…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Visualization in Image-Guided Interventions

Holmes

Rettmann

Robb

2008

Image-Guided Interventions

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Visualization is one of the primary interfaces between an interventionalist and his patient. This interface is the final integration of several disparate data streams. To develop an appropriate image-guided interface, it is important to understand several aspects of the data acquisition, data processing, and visualization methodologies in the context of the interventional procedure. This chapter introduces the basics of data acquisition and processing for image guidance, including the benefits of both preoperative and intraoperative data streams. 2D and 3D visualization methodologies are described with examples. Several different systems for visualization are introduced, ranging from low-level hardware to software-only render engines. Several clinical examples of visualization for image guidance are described.

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“…Being non-invasive and sensitive to the molecular motions, magnetic resonance imaging (MRI) has undisputable potential to become the leading diagnostic tool for cartilage health (11)(12)(13)(14)(15)(16)(17)(18)(19). Several MRI protocols can in principle detect the early changes in OA cartilage, for example, T2 and T2 anisotropy, T1ρ, T1 with the use of contrast agent, and diffusion (20)(21)(22)(23)(24)(25).…”

Section: Original Articlementioning

confidence: 99%

Image interpolation improves the zonal analysis of cartilage T2 relaxation in MRI

Badar

Xia

2017

Quant. Imaging Med. Surg.

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Background: This project aimed to investigate the improvement in the detection of osteoarthritis (OA) in cartilage by the interpolation of T2 images, in the situation when the native MRI resolution is insufficient to resolve the depth-dependent T2 characteristics in articular cartilage (AC).Methods: Eighteen intact canine knee joints that were healthy or had mild (contralateral) or severe OA were T2-imaged in a 7T/20 cm MRI system at 200 µm/pixel resolution (macro-MRI). Two image analysis methods were used to interpolate the images to 100 µm/pixel, i.e., by Fourier-transforming the time-domain FID (Free Induction Decay) signal using the Varian NMR software and by interpolating the 2D T2 image using the ImageJ software. and the interpolated 100 µm resolutions were subdivided into two equal-thickness regions and three-equal thickness regions based on clinical MRI protocols. A new method divided the T2 profiles into three-unequal thickness zones according to the T2 profiles at 17.6 µm/pixel from the same cartilage imaged in a 7 Tesla/9 cm µMRI system. Both interpolation methods improved the depth-dependent T2 images/profiles in macro-MRI. The unequal zone division in T2 had better OA sensitivity than the equal zone division. The threeequal zone division of T2 profiles had better OA sensitivity than the two-equal zone division. The statistical significant difference between the healthy and mild OA cartilage is detected (P=0.0018) only by the unequal zone division method at 100 µm resolution.Conclusions: Data interpolation improves the T2 sensitivity in MRI of cartilage OA. Unequal division of tissue thickness enables better early stage of OA detection than the equal division.

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Ultra–High-Field MRI of Knee Joint at 7.0T: Preliminary Experience

Cited by 42 publications

References 9 publications

Reproducibility of the quantitative assessment of cartilage morphology and trabecular bone structure with magnetic resonance imaging at 7 T

Reproducibility of the quantitative assessment of cartilage morphology and trabecular bone structure with magnetic resonance imaging at 7 T

Visualization in Image-Guided Interventions

Image interpolation improves the zonal analysis of cartilage T2 relaxation in MRI

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