Variation in the use of MRI for cervical spine clearance: an opportunity to simultaneously improve clinical care and decrease costblunt traumacervical spinemagnetic resonance imagingvariationBackground For years, controversy has existed about the ideal approach for cervical spine clearance in obtunded, ...
This is, however, at cost of the SNR, which is a profitable tradeoff at UHF given the increase in signal. 2.2. Physiological noise Increasing spatial resolution causes images to become more prone to motion artifacts. Besides movement by the patient self, there are also physiological sources of...
we have been satisfied with the nearly 20,000 MRI exams performed using the device,’ says Xiaoguang Cheng, a radiologist and head of the department of radiology at the hospital. The device has provided medical institutions with a reliable and cost-effective alternative to conventional MRI technolo...
Maureen M.Spine MRI Patient Being a rheumatologist, I greatly rely on Dr. David's expertise and his radiology reports. N. Ahmed, MDRheumatologist My experience today was great, just like the last time I was here. M. StrongCervical MRI Patient ...
We are now using the breakthrough Spinal Kinetics M6 artificial disc replacement for the Lumbar and Cervical spine. The Spinal Kinetics M6 is the first artificial disc replacement product to truly deserve the title "Artificial Disc Replacement". This implant achieves the ultimate goal of replicating...
(a) Proof of concept, prototype of printed flexible four-channel receive array. (b) Sagittal cervical spine MRI image showing excellent penetration due to the conformity of the array. (c) Single-element MRI image of a knee. (d) Scan showing the expected improved penetration using a four-cha...
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The focus is on which test will provide the most accurate and cost effective diagnostic information for each particular clinical situation. Computed tomographic scan, CT myelography, MRI and plain radiography all have their place in the diagnostic work-up of problems related to the spine....
In order to segment continuous spine edge, Kolařík et al. [10] proposed a supervised deep learning approach to segment 3D spine and to obtain segmented results at the original resolution. However, 3D CNN suffered from high computation cost, storage cost and the risk of over fitting for ...
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