Advanced Diffusion Acquisition
نویسنده
چکیده
Target Audience: Methodologically oriented scientists interested in accelerating the acquisition of diffusionweighted data using multiband/simultaneous multi-slice techniques. Outcome/Objectives: The presentation will explain how to acquire and reconstruct multiband images with diffusion weighting. The audience should understand the additional constraints imposed by performing diffusion-weighting as compared to the application of multiband acquisition for T ∗ 2 -weighted EPI, in particular with respect to limited total echo time and the effects of eddy currents and motion. Current applications of multiband DWI in the human connectome project and elsewhere will be explained. The audience should also gain insight into how to perform high resolution DWI with multiband techniques, and the possibility of reducing power deposition using PINS radio-frequency pulses. Purpose: Multiband imaging techniques offer significant reductions in acquisition time for DWI imaging. In the standard application of DW-EPI TR values in excess of 10s are often reported in applications such as DWI of the human head at high spatial resolution. Methods: Multiband imaging is implemented by modifying the RF pulses used in the DWI sequence. This is generally done by adding RF pulses, each of which has a an additional linear phase gradient corresponding to the desired frequency offset [12]. The SAR of the resultant multiband pulse is proportional to the number of superposed pulses. The peak voltage can be reduced by optimising the phase of the pulses [10], or by shifting them in time [7]. Total SAR can be reduced by the application of PINS RF pulses that periodically excite a potentially infinite number of slices [13]. The blipped version [16] of the CAIPIRINHA technique [2] makes
منابع مشابه
Recent advancements in diffusion MRI for investigating cortical development after preterm birth—potential and pitfalls
Preterm infants are born during a critical period of brain maturation, in which even subtle events can result in substantial behavioral, motor and cognitive deficits, as well as psychiatric diseases. Recent evidence shows that the main source for these devastating disabilities is not necessarily white matter (WM) damage but could also be disruptions of cortical microstructure. Animal studies sh...
متن کاملTowards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
Diffusion-weighted MRI is an important tool for in vivo and non-invasive axon morphometry. The ActiveAx technique utilises an optimised acquisition protocol to infer orientationally invariant indices of axon diameter and density by fitting a model of white matter to the acquired data. In this study, we investigated the factors that influence the sensitivity to small-diameter axons, namely the g...
متن کاملNon-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients
We assessed parameters of advanced diffusion weighted imaging (DWI) models for the prediction of the tumor growth rate in 55 head and neck squamous cell carcinoma (HNSCC) patients. The DWI acquisition used single-shot spin-echo echo-planar imaging with 12 b-values (0-2000). We calculated 14 DWI parameters using mono-exponential, bi-exponential, tri-exponential, stretched exponential and diffusi...
متن کاملq-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
Diffusion MRI uses a multi-step data processing pipeline. With certain steps being prone to instabilities, the pipeline relies on considerable amounts of partly redundant input data, which requires long acquisition time. This leads to high scan costs and makes advanced diffusion models such as diffusion kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) inappl...
متن کاملHolistic Image Reconstruction for Diffusion MRI
Diffusion MRI provides unique information on the microarchitecture of biological tissues. One of the major challenges is finding a balance between image resolution, acquisition duration, noise level and image artifacts. Recent methods tackle this challenge by performing super-resolution reconstruction in image space or in diffusion space, regularization of the image data or of postprocessed dat...
متن کامل