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New imaging method could lead to diagnosis of early stage Parkinson`s disease
The usual method of visualizing brain structure utilizes a technique most of us are familiar with, called MRI. However, it is not sensitive enough to reveal the biological changes that take place in the brain of Parkinson patients, and at present is primarily only used to eliminate other possible diagnoses.
Differentiation of rickets and classic metaphyseal lesions on radiographs
According to ARRS' American Journal of Roentgenology (AJR), rickets and classic metaphyseal lesions (CMLs) exhibit distinct radiographic signs, and radiologists can reliably differentiate these two entities.
Researchers create a QIBA profile for cartilage compositional imaging
New recommendations will help provide more reliable, reproducible results for MRI-based measurements of cartilage degeneration in the knee, helping to slow down disease and prevent progression to irreversible osteoarthritis, according to a special report published in the journal Radiology.
New deep learning method boosts MRI results without requiring new data
When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize artifacts and other noise in MRI images that come from movement and a short image-acquisition time.
A new quantitative imaging biomarkers alliance profile for knee cartilage MRI
New recommendations will help provide more reliable, reproducible results for MRI-based measurements of cartilage degeneration in the knee, helping to slow down disease and prevent progression to irreversible osteoarthritis, according to a special report published in the journal Radiology.