W. Hsu. Model-based reconstruction of undersampled diffusion tensor k-space data. Magn. Reson. Med. 70(2):429–440, 2013. CentralWelsh, C.L., Dibella, E.V.R., Adluru, G., Hsu, E.W.: Model-based reconstruction of under- sampled diffusion tensor k-space data. Magn. Reson. Med...
답변:Supraja2024년 12월 9일 I have raw (k-space) data from Siemens MRI scanner. I want to reconstruct MRI images from the raw (k-space) data. Does anyone have experience with this? Thakn you. 댓글 수: 0 댓글을 달려면 로그인하십...
Model-based reconstruction of undersampled diffusion tensor k-space data. Magn Reson Med. 2013; 70(2): 429–40. Epub 2012/10/02. :10.1002/mrm.2448... CL Welsh,EVR Dibella,G Adluru,... - 《Magnetic Resonance in Medicine Official Journal of the Society of Magnetic Resonance in Medicine...
The k-space location (kx and ky coordinates) of data is governed by the accumulated effect of gradient events and excitation pulses. Here are the rules for moving in k-space: The initial RF excitation pulse (with the slice-selection gradient) is the beginning of the sequence: location is ...
Let yt be the k-space data for the tth frame. The problem is to recover all xt’s (t = 1…T) from the collected k-space data yt’s. The MR imaging equation for each frame is as follows,yt=RFxt+η where F is the 2D/3D Fourier operator which maps the image space to the k-...
Method for k-space data acquisition and MRI devicedoi:US7180290A magnetic resonance imaging method acquires interleaved k-space data from a common 2D region in two or more k-spaces. The k-spaces have a first coordinate axis and a second coordinate axis. The method comprises: a) sampling ...
going from a patient inside an mri scanner to using mri pulse sequences to generate raw data which is stored in k-space and then taking that k-space based data and using an image reconstruction algo…
k-space data. However, the development of deep learning methods requires large training datasets, which have so far not been made publicly available for CMR. To address this gap, we released a dataset that includes multi-contrast, multi-view, multi-slice and multi-coil CMR imaging data from ...
In parallel imaging, reduced k-space data are acquired using an array of receiver coils, and then un-acquired data are recovered us- ing well-designed reconstruction methods. The reconstruction ap- proaches can be categorized into two main genres: Image domain methods, such as sensitivity...
However, the lack of publicly available cardiac MRI k-space dataset in terms of both quantity and diversity has severely hindered substantial technological progress, particularly for data-driven artificial intelligence. Here, we provide a standardized, diverse, and high-quality CMRxRecon2024 dataset to...