Prior-information-driven multiple contrast projection of T<sub>2</sub> weighted magnetic resonance images

Srinivasan Rajagopalan; Richard A. Robb

doi:10.1117/12.653956

20 March 2006 Prior-information-driven multiple contrast projection of T₂ weighted magnetic resonance images

Srinivasan Rajagopalan, Richard A. Robb

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Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61446K (2006) https://doi.org/10.1117/12.653956
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Despite the tremendous improvements in MR imaging, the optimization of fast imaging techniques for display of T₂ contrast has not yet been accomplished. Existing methods that make use of prior-information (feature-recognizing MRI, constrained reconstruction techniques, dynamic imaging etc) are sub-optimal. In this paper, we present a fast, robust method to enhance the T₂ related contrast in an MRI image acquired at, but not restricted to, "just-enough-to-highlight-T₂" repetition time so as to produce a computed mosaic of the same image at different repetition (TR) and echo (TE) times. This leads to substantial reduction in scan time and simultaneous provision of multiple snapshots of the same image at different TR and TE time settings. The enhanced mapping is performed using a feature-guided, non-linear equalization technique based on prior knowledge. The proposed methodology could be synergistically cascaded with other fast imaging techniques to further improve the acquisition rate. The clinical applications of the proposed contrast enhancement technique include: a pre-scan application in which projected images assist in prescribing a subsequent image acquisition; a real-time application in which images are acquired quickly with a short TR from which projected images at long TR are produced in near real-time; and post processing applications where enhanced images are produce to assist in diagnosis.

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Srinivasan Rajagopalan and Richard A. Robb "Prior-information-driven multiple contrast projection of T₂ weighted magnetic resonance images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61446K (20 March 2006); https://doi.org/10.1117/12.653956

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KEYWORDS

Magnetic resonance imaging

Tissues

Image processing

Brain

Neuroimaging

Image enhancement

Scanners

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