An array processor in MRI is best described as which of the following?

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Multiple Choice

An array processor in MRI is best described as which of the following?

An array processor is a parallel computing system used to speed up the heavy math involved in MR image reconstruction. It consists of many processing elements that work on different parts of the data at the same time, so tasks like Fourier transforms, filtering, and back-projection can be performed in parallel rather than on a single processor. This parallelism dramatically reduces reconstruction time, which is why such hardware was favored in MRI history for speeding up images. The processor may also pipeline or sequence certain steps when needed, but the core advantage is the data-parallel computation across many processors. This is different from a graphics unit, which is built for rendering images to a display; a fixed-architecture memory bank, which stores data without performing substantial computations; or a programmable RF transmitter, which is involved in issuing radio frequency pulses rather than processing image data.

An array processor is a parallel computing system used to speed up the heavy math involved in MR image reconstruction. It consists of many processing elements that work on different parts of the data at the same time, so tasks like Fourier transforms, filtering, and back-projection can be performed in parallel rather than on a single processor. This parallelism dramatically reduces reconstruction time, which is why such hardware was favored in MRI history for speeding up images. The processor may also pipeline or sequence certain steps when needed, but the core advantage is the data-parallel computation across many processors.

This is different from a graphics unit, which is built for rendering images to a display; a fixed-architecture memory bank, which stores data without performing substantial computations; or a programmable RF transmitter, which is involved in issuing radio frequency pulses rather than processing image data.

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