Paper
20 April 2000 Parallel imaging strategies for high-speed magnetic resonance diffusion imaging
Roland Bammer, Rudolf Stollberger, Manfred J. Augustin, Thomas Seifert, S. Strasser-Fuchs, Paul Wach, H. P. Hartung, F. Fazekas
Author Affiliations +
Abstract
By using multiple receiver coils in conjunction with parallel MR signal reception, the speed of image acquisition can be dramatically increased. In this work the feasibility of such parallel imaging (PI) methods for fast brain imaging was studied along with their potential application for diffusion- weighted imaging (DWI). All measurements were performed by using a four-element prototype-surface coil. Parallel image reconstruction in the image domain was performed off-line on a dedicated MR image processing workstation. For appropriate image quality, coil sensitivity maps must be of sufficient quality or must be properly filtered. Thus, a novel filtering method was employed. By means of diffusion-weighted single- shot PI, the advantage of motion insensitivity of single shot echo-planar imaging (EPI) and the increased k-space velocity of multi-shot EPI can be combined; hence, they need not be phase navigated. Therefore, the images are free from ghostings, and artifacts arising from resonance offsets (e.g., B0, susceptibility artifacts, and chemical shift) are less prominent than in conventional single-shot EPI. Furthermore, image blurring was markedly reduced. Preliminary results in neuroimaging promise that PI can become a helpful tool for rapid imaging in the CNS, although further improvement of coil sensitivity is required for sufficient SNR in parallel DWI.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roland Bammer, Rudolf Stollberger, Manfred J. Augustin, Thomas Seifert, S. Strasser-Fuchs, Paul Wach, H. P. Hartung, and F. Fazekas "Parallel imaging strategies for high-speed magnetic resonance diffusion imaging", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383397
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming

Image quality

Magnetic resonance imaging

Signal to noise ratio

Phased arrays

Digital filtering

Image restoration

Back to Top