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High-resolution intracranial MRA at 7T using autocalibrating parallel imaging: initial experience in vascular disease patients by Cornelius von Morze; Derk D. Purcell; Suchandrima Banerjee; Duan Xu; Pratik Mukherjee; Douglas A. Kelley; Sharmila Majumdar; Daniel B. Vigneron is a Medicine article available to read on EtoBox.
What is High-resolution intracranial MRA at 7T using autocalibrating parallel imaging: initial experience in vascular disease patients about?
## Purpose: Greater spatial resolution in intracranial three-dimensional time-of-flight (tof) magnetic resonance angiography (mra) is possible at higher field strengths, due to the increased contrast-to-noise ratio (cnr) from the higher signal-to-noise ratio and the improved background suppression. however, at very high fields, spatial resolution is limited in practice by the acquisition time required for sequential phase encoding. in this study, we applied parallel imaging to 7t tof mra studies of normal volunteers and patients with vascular disease, in order to obtain very high resolution (0.12 mm(3)) images within a reasonable scan time. ## Materials and methods: Custom parallel imaging acquisition and reconstruction methods were developed for 7t mra, based on generalized autocalibrating partially parallel acquisition (grappa). the techniques were compared and applied to studies of seven normal volunteers and three patients with cerebrovascular disease. ## Results: The technique produced high resolution studies free from discernible reconstruction artifacts in all subjects and provided excellent depiction of vascular pathology in patients. ## Conclusions: 7t tof mra with paralle
Who reads High-resolution intracranial MRA at 7T using autocalibrating parallel imaging: initial experience in vascular disease patients?
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- Author
- Cornelius von Morze; Derk D. Purcell; Suchandrima Banerjee; Duan Xu; Pratik Mukherjee; Douglas A. Kelley; Sharmila Majumdar; Daniel B. Vigneron
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0730-725X)
- Published
- 2008
- Language
- EN
- Field
- Medicine (Health Sciences)