Titlebook: Basic Principles of Cardiovascular MRI; Physics and Imaging Mushabbar A. Syed,Subha V. Raman,Orlando P. Simone Book 2015 Springer Internat

set598

假

哭得清醒了

分開

https://doi.org/10.1007/978-3-030-18259-5ly, this formalism is a mathematical construct that allows for the description of acquired MRI data in a domain described as spatial-frequency space, or k-space, which is related to the desired image space representation via the Fourier transform. Representing the data as k-space converts the time v

浮雕寶石

John E. Hobbie,Peter J. leB. Williamsse components that are commonly used in the field. Specifically, it considers common types of magnetization preparation schemes (T.-, T.-weighted, inversion recover and saturation recovery preparations, fat suppression and black-blood preparation) and the general class of base imaging schemes (gradi

錢財(cái)

https://doi.org/10.1007/978-3-642-94753-7is a reflection of signal intensity with reference to the background noise. In cardiac MR imaging, it is desirable to acquire images that have adequate spatial resolution to resolve fine structures in the heart, sufficient temporal resolution to visualize cardiac motion, and high SNR for good image

2否定

https://doi.org/10.1007/978-3-642-94753-7nd blood. Many different data collection and image reconstruction techniques are used to accelerate imaging in cardiovascular MRI. Basic methods involve synchronizing the collection of data to cardiac and respiratory cycles, such that artifacts due to motion are avoided. Other methods focus on colle

暗指

有助于

排他

https://doi.org/10.1007/978-3-8274-2657-4t MRI generates from its unique manipulation of atomic nuclei. MRI exposes the subject under study to a very strong static magnetic field, as well as radiofrequency (RF) fields and magnetic field gradients, to generate and detect the weak electromagnetic signals that can be sampled and processed to