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Functional magnetic resonance imaging (fMRI) is a medical imaging modality that indirectly measures neural activity by observing the local hemodynamics, or blood oxygen level dependent signal (BOLD). fMRI data offers a range of insights, and can be roughly divided into two categories:
Imaging of the cardiovascular system is usually performed with cardiac gating using an adaptation of conventional ECG techniques. [19] Cine sequences of the heart are acquired using balanced steady state free precession (bSSFP) which has good temporal resolution and intrinsic image contrast. T1-weighted sequences are used to visualize anatomy ...
A tagged MRI showing motion of a human heart is shown in the image (a). The effect of tagging can be described as a multiplication of the underlying image by a sinusoid tag pattern having a certain fundamental frequency, causing an amplitude modulation of the underlying image and replicating its Fourier transform into the pattern shown in (b).
Diabetic cardiomyopathy is a disorder of the heart muscle in people with diabetes.It can lead to inability of the heart to circulate blood through the body effectively, a state known as heart failure(HF), [2] with accumulation of fluid in the lungs (pulmonary edema) or legs (peripheral edema).
Strain rate imaging during stress has been shown to give incremental value over ordinary echocardiography, both diagnostic [28] [29] and prognostic. [30] In stress echo, the increased heart rate has speckle tracking at a disadvantage, due to the limited frame rate that affects tracking at higher heart rates.
A physician may recommend cardiac imaging to support a diagnosis of a heart condition. Medical specialty professional organizations discourage the use of routine cardiac imaging during pre-operative assessment for patients about to undergo low or mid-risk non-cardiac surgery because the procedure carries risks and is unlikely to result in the change of a patient's management. [1]
Researchers are saying that a simple cheek swab sample could hold key information about how a person is aging. Image credit: Courtney Hale/Getty Images.
Imaging informatics within Cardiology aids in the molecular phenotyping of CV(Cardiovascular) diseases and unification of CV knowledge. [19] This means that through data extraction, imaging, and machine learning analysis of these data and images allow researchers to categorize diseases based on the characteristics or features discovered.