k-space
Updates to Article Attributes
k-space is an abstract concept and refers to a data matrix containing the raw MRI data. This data is subjected to mathematical function or formula called a transform to generate the final image. A discrete Fourier or fast Fourier transform 1-3 is generally used, though other transforms such as the Hartley 4 can also work.
Discussion
A single slice corresponds to a k-space plane acquired in real-time. Each point on the k-space contains specific frequency, phase (x,y coordinates) and signal intensity information (brightness). Inverse FT is applied after k-space acquisition to derive the final image. Each pixel in the resultant image is the weighted sum of all the individual points in the k-space. Hence, disruption of any point in the k-space translates into some form of final image distortion, determined by the frequency- and phase-related data stored in that particular point. InIn general:
central regions of the k-space encode contrast information
peripheral regions of the k-space encode spatial resolution
Relevance
Knowledge of the k-space is essential as it relates to different techniques of image acquisition and explains several MRI artifacts.
-<p><strong>k-space </strong>is an abstract concept and refers to a data matrix containing the raw MRI data. This data is subjected to mathematical function or formula called a transform to generate the final image. A discrete Fourier or fast <a href="/articles/fourier-transform">Fourier transform</a> <sup>1-3</sup> is generally used, though other transforms such as the Hartley <sup>4</sup> can also work.</p><h4>Discussion</h4><p>A single slice corresponds to a k-space plane acquired in real-time. Each point on the k-space contains specific frequency, phase (x,y coordinates) and signal intensity information (brightness). Inverse FT is applied after k-space acquisition to derive the final image. Each pixel in the resultant image is the weighted sum of all the individual points in the k-space. Hence, disruption of any point in the k-space translates into some form of final image distortion, determined by the frequency- and phase-related data stored in that particular point. In general:</p><ul>- +<p><strong>k-space </strong>is an abstract concept and refers to a data matrix containing the raw MRI data. This data is subjected to mathematical function or formula called a transform to generate the final image. A discrete Fourier or fast <a href="/articles/fourier-transform">Fourier transform</a> <sup>1-3</sup> is generally used, though other transforms such as the Hartley <sup>4</sup> can also work.</p><h4>Discussion</h4><p>A single slice corresponds to a k-space plane acquired in real-time. Each point on the k-space contains specific frequency, phase (x,y coordinates) and signal intensity information (brightness). Inverse FT is applied after k-space acquisition to derive the final image. Each pixel in the resultant image is the weighted sum of all the individual points in the k-space. Hence, disruption of any point in the k-space translates into some form of final image distortion, determined by the frequency- and phase-related data stored in that particular point. In general:</p><ul>
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