𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Spiral K-space MR imaging of cortical activation

✍ Scribed by Douglas C. Noll; Jonathan D. Cohen; Craig H. Meyer; Walter Schneider


Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
969 KB
Volume
5
Category
Article
ISSN
1053-1807

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Brain function can be mapped with magnetic resonance (MR) imaging sensitized to regional changes in blood oxygenation due to cortical activation. Several MR imaging methods, including conventional imaging and echo‐planar imaging, have been successfully used for this purpose. The authors investigated spiral k‐space MR imaging, implemented with an unmodified 1.5‐T clinical imager, for imaging of cortical activation. A gradient‐echo, spiral k‐space imaging method was used to measure activation in the primary visual cortex (number sequence task), primary motor cortex (fist‐clenching task), and prefrontal cortex (verbal fluency task). Comparison of conventional and spiral k‐space imaging in the visual and motor cortex, in which signal‐to‐noise ratio, voxel size, and imaging time were matched, showed that artifacts were reduced with the spiral k‐space method, while the area and degree of activation were similar. The number of sections that could be imaged in a fixed time interval was increased by a factor of four with this implementation of spiral k‐space imaging compared with conventional imaging.


📜 SIMILAR VOLUMES


MR coronary vessel wall imaging: Compari
✍ Marcus Katoh; Elmar Spuentrup; Arno Buecker; Warren J. Manning; Rolf W. Günther; 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 413 KB

## Abstract ## Purpose To compare radial and spiral k‐space sampling in navigator‐gated ECG‐triggered three‐dimensional (3D) coronary vessel wall imaging. ## Materials and Methods The right coronary artery (RCA) vessel walls of eight healthy subjects were imaged using a modified double‐inversion

K-space description for MR imaging of dy
✍ Qing-San Xiang; R. Mark Henkelman 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 966 KB

## Abstract The spatial frequency (__k__) space concept is extended to describe the imaging of time‐dependent objects. This work builds on the existing __k__‐space description of MRI and is useful for simplifying the analysis of explanations of motion artifacts, algorithms for the correction of mot

Functional mapping of human motor cortic
✍ Yue Cao; Vernon L. Towle; David N. Levin; James M. Balter 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 786 KB

## Abstract A conventional 1.5‐T magnetic resonance (MR) imager was used to detect signal intensity changes on T2\*‐weighted images of human motor and sensory cortices during performance of hand and tongue movements. Narrow receiver bandwidths were used to improve the signal‐to‐noise ratio. Protoco

Comparison of k-space sampling schemes f
✍ James W. Hugg; Andrew A. Maudsley; Michael W. Weiner; Gerald B. Matson 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 495 KB

## Abstract For clinical ^31^P MR spectroscopic imaging (MRSI) studies, where signal averaging is necessary, some improvement of sensitivity and spatial response function may be achieved by acquiring data over a spherical __k__‐space volume and varying the number of averages acquired in proportion

Generalized K-space analysis and correct
✍ M. Louis Lauzon; Brian K. Rutt 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 935 KB

## Abstract A new approach to understanding and reducing motion artifacts in magnetic resonance imaging (MRI) is introduced. This paper presents a novel technique for correcting generalized motion artifacts arising from translation, rotation, dilation, and compression, or any combination thereof. W

Frequency resolved single-shot MR imagin
✍ Klaus Scheffler; Jürgen Hennig 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 839 KB

## Abstract A new single‐shot stochastic imaging technique with a random __k__‐space path that provides very selective filtering with respect to chemical shift or off‐resonance signals of the investigated tissue is proposed. It is demonstrated that in stochastic imaging only on‐resonance compartmen