scholarly journals Anatomically Adaptive Coils for MRI—A 6-Channel Array for Knee Imaging at 1.5 Tesla

2020 ◽  
Vol 8 ◽  
Author(s):  
Bernhard Gruber ◽  
Robert Rehner ◽  
Elmar Laistler ◽  
Stephan Zink
Keyword(s):  
Knee Imaging

scholarly journals 3D adiabatic T1ρ prepared ultrashort echo time cones sequence for whole knee imaging

2018 ◽  
Vol 80 (4) ◽  
pp. 1429-1439 ◽  
Author(s):  
Ya-Jun Ma ◽  
Michael Carl ◽  
Adam Searleman ◽  
Xing Lu ◽  
Eric Y. Chang ◽  
...  
Keyword(s):  
Ultrashort Echo Time ◽  
Echo Time ◽  
Knee Imaging

Knee Imaging Techniques and Normal Anatomy

2012 ◽  
pp. 64-85
Author(s):  
Samuel D. Madoff ◽  
Jarett S. Burak ◽  
Kevin R. Math ◽  
Daniel M. Walz
Keyword(s):  
Imaging Techniques ◽  
Normal Anatomy ◽  
Knee Imaging

scholarly journals Knee imaging: Rapid three-dimensional fast spin-echo using compressed sensing

2016 ◽  
Vol 45 (6) ◽  
pp. 1712-1722 ◽  
Author(s):  
Richard Kijowski ◽  
Humberto Rosas ◽  
Alexey Samsonov ◽  
Kevin King ◽  
Rob Peters ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Spin Echo ◽  
Three Dimensional ◽  
Fast Spin Echo ◽  
Knee Imaging ◽  
Fast Spin

scholarly journals Corrigendum to “OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis” [Osteoarthritis Cartilage (2015) 698–715]

2015 ◽  
Vol 23 (8) ◽  
pp. 1434-1435
Author(s):  
D.J. Hunter ◽  
R.D. Altman ◽  
F. Cicuttini ◽  
M.D. Crema ◽  
J. Duryea ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Osteoarthritis Cartilage ◽  
Knee Imaging

Design and verification of 5-channel 1.5T knee joint receiving coil based on wearable technology

2020 ◽  
Vol 28 (5) ◽  
pp. 495-505
Author(s):  
Gui Hao Li ◽  
Ye Li ◽  
Gai Yan Zhu ◽  
Tai Yu Yan ◽  
Xia Fei Hu ◽  
...  
Keyword(s):  
Knee Joint ◽  
Deep Layer ◽  
Signal To Noise Ratio ◽  
Knee Joints ◽  
Mechanical Structure ◽  
The Past ◽  
Shallow Layer ◽  
Receiving Coil ◽  
Knee Imaging ◽  
Filling Coefficient

BACKGROUND: Over the past 20 years, magnetic resonance receiving coil technology has developed rapidly. The traditional, commercial knee joint coil has a fixed mechanical structure. To meet the imaging needs of most patients, it is necessary to ensure that the mechanical geometry of the coil is as large as possible. Therefore, different quality images can be obtained by filling coefficients under loads of knees of different sizes. Lufkin et al. [1] have demonstrated that the signal-to-noise ratio (SNR) of coil imaging is directly proportional to its filling coefficient, which is S/N≈QL*η. Thus, the pursuit of an optimal coil filling coefficient is an important way to improve the coil imaging quality. OBJECTIVE: This study combines wearable concepts and coil development techniques and applies flexible and elastic materials to coil designs. METHODS: We used an elastic material instead of the traditional fixed mechanical structure to develop a 1.5T 5-channel knee joint receiving coil that can be attached to knee joints of different sizes within a certain range, allowing the coil to achieve a maximum filling coefficient under the loads of knees of different sizes. RESULTS: Compared to commercial 8-channel knee coils, the phantom test and clinical knee joint imaging demonstrated that the SNR of the developed coil increased by four times in the shallow layer and two times in the deep layer, under different load conditions. CONCLUSION: This high SNR performance demonstrates potential for the realization of high resolution and fast imaging sequences in knee imaging.

scholarly journals Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Johannes Rausch ◽  
Andreas Maier ◽  
Rebecca Fahrig ◽  
Jang-Hwan Choi ◽  
Waldo Hinshaw ◽  
...  
Keyword(s):  
Weight Bearing ◽  
Calibration Procedure ◽  
Correction Method ◽  
Projection Data ◽  
Near Surface ◽  
Depth Cameras ◽  
Kinect Camera ◽  
Novel Approach ◽  
Knee Imaging ◽  
Cross Calibration

Objective.To demonstrate a novel approach of compensating overexposure artifacts in CT scans of the knees without attaching any supporting appliances to the patient. C-Arm CT systems offer the opportunity to perform weight-bearing knee scans on standing patients to diagnose diseases like osteoarthritis. However, one serious issue is overexposure of the detector in regions close to the patella, which can not be tackled with common techniques.Methods.A Kinect camera is used to algorithmically remove overexposure artifacts close to the knee surface. Overexposed near-surface knee regions are corrected by extrapolating the absorption values from more reliable projection data. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates.Results.Artifacts at both knee phantoms are reduced significantly in the reconstructed data and a major part of the truncated regions is restored.Conclusion.The results emphasize the feasibility of the proposed approach. The accuracy of the cross-calibration procedure can be increased to further improve correction results.Significance.The correction method can be extended to a multi-Kinect setup for use in real-world scenarios. Using depth cameras does not require prior scans and offers the possibility of a temporally synchronized correction of overexposure artifacts. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates.

scholarly journals Feasibility of synthetic MRI in knee imaging in routine practice

2018 ◽  
Vol 7 (5) ◽  
pp. 205846011876968 ◽  
Author(s):  
Sana Boudabbous ◽  
Angeliki Neroladaki ◽  
Ilias Bagetakos ◽  
Marion Hamard ◽  
Bénédicte MA Delattre ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Cruciate Ligament ◽  
Quantitative Imaging ◽  
Proton Density ◽  
Routine Practice ◽  
Synthetic Sequence ◽  
Magnetic Resonance Imaging Mri ◽  
Anterior Cruciate ◽  
Knee Imaging ◽  
Synthetic Mri

Background Synthetic magnetic resonance (MR) is a method allowing reduction of examination time and access to quantitative imaging. Purpose This study sought to assess the image quality and diagnostic accuracy of synthetic magnetic resonance imaging (MRI) compared to standard MRI in patients with knee pain. Material and Methods In total, 22 patients underwent standard 1.5 knee MRI with an added synthetic sequence. Quantitative T1, T2, and proton density (PD) images were generated synthetically; T1, PD, and short tau inversion recovery (STIR) weighted images were created with chosen echo time (TE), repetition time (TR), and inversion time (TI). Two blinded musculoskeletal radiologists evaluated the overall sequence quality, visualization of anatomic structures, and presence of artifacts using a 3-point score. Results The synthetic sequence was acquired in 39% less time than the conventional MRI. Synthetic PD, T1, and STIR images were rated fair (2%, 5%, and 2%, respectively) or good quality (98%, 95%, and 98%, respectively), despite the presence of popliteal artery artifacts. Cartilage and meniscus were well visualized in all cases. Anterior cruciate ligament visualization was rated poor in 7%, 14%, and 30% of PD, STIR, and T1 images, respectively. Conclusion Our pilot study confirmed the feasibility of synthetic MRI in knee examinations, proving faster and achieving appropriate quality and good diagnostic confidence.

Portable Electromagnetic Knee Imaging System

2021 ◽  
pp. 1-1
Author(s):  
Kamel S. Sultan ◽  
Beadaa Mohamed ◽  
Mohamed Manoufali ◽  
Amin Abbosh
Keyword(s):  
Imaging System ◽  
Knee Imaging

Snapping Knee: Imaging Findings With an Emphasis on Dynamic Sonography

2012 ◽  
Vol 199 (1) ◽  
pp. 142-150 ◽  
Author(s):  
Antoine J. Marchand ◽  
Maïa Proisy ◽  
Mickaël Ropars ◽  
Michel Cohen ◽  
Régis Duvauferrier ◽  
...  
Keyword(s):  
Imaging Findings ◽  
Snapping Knee ◽  
Knee Imaging
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