Workstation capabilities on an MRI system

James D. Hale; Andrew Li; Ilya Simovsky

doi:10.1117/12.59440

1 June 1992 Workstation capabilities on an MRI system

James D. Hale, Andrew Li, Ilya Simovsky

Proceedings Volume 1652, Medical Imaging VI: Image Processing; (1992) https://doi.org/10.1117/12.59440
Event: Medical Imaging VI, 1992, Newport Beach, CA, United States

Abstract

In order to add more powerful image processing and graphics features to an MRI system, manufacturers usually contract a third party to connect the system to a graphics workstation. The MRI user must learn a new operating system, user interface, and graphics package; the workstation may not be able to generate the hardcopy (films); and it adds significantly to the cost. We have developed software to run on an MRI system so that users can enhance and manipulate image data without adding a workstation. We have tailored the package specifically for magnetic resonance images, maximizing quality of output and convenience of operation. The Interactive Image Processor (IIP) uses an adaptive filtering scheme that displays images with improved signal-to-noise without blurring edges. The IIP zooms images with a high resolution Fourier interpolation technique. It also can display an interpolated or extrapolated echo from any dual-echo data set. A second part of this software, the Advanced Performance Package (APP) gives the MRI operator the ability to manipulate images in three dimensions to create oblique views or images that conform to curved surfaces. Like the IIP, the APP uses Fourier interpolation to achieve the best possible image quality, giving the radiologist a way to get multiple views of a patient without having to run many different acquisitions.

Citation Download Citation

James D. Hale, Andrew Li, and Ilya Simovsky "Workstation capabilities on an MRI system", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); https://doi.org/10.1117/12.59440

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KEYWORDS

Magnetic resonance imaging

Visualization

Image processing

Image enhancement

Image quality

Signal to noise ratio

Digital filtering

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