A Super-Resolution Framework for 3-D High-Resolution and High-Contrast Imaging Using 2-D Multislice MRI

A novel super-resolution reconstruction (SRR) framework in magnetic resonance imaging (MRI) is proposed. Its purpose is to produce images of both high resolution and high contrast desirable for image-guided minimally invasive brain surgery. The input data are multiple 2-D multislice inversion recove...

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Veröffentlicht in:	IEEE transactions on medical imaging 2009-05, Vol.28 (5), p.633-644
Hauptverfasser:	Shilling, R.Z., Robbie, T.Q., Bailloeul, T., Mewes, K., Mersereau, R.M., Brummer, M.E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brain - anatomy & histology Brain imaging Brain modeling Encoding Frequency High-resolution imaging Humans Image Processing, Computer-Assisted - methods Image reconstruction Image resolution Imaging phantoms Iterative algorithms Magnetic resonance imaging Magnetic Resonance Imaging - methods Minimally invasive surgery multislice magnetic resonance imaging (MRI) Phantoms, Imaging projection onto convex sets (POCS) Software super-resolution
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