Title :
Quantization improvement in MRI using dual quantizers
Author :
Hamilton, Craig A. ; Santago, Peter
Author_Institution :
Dept. of Radiol., Wake Forest Univ., Winston-Salem, NC, USA
fDate :
9/1/1991 12:00:00 AM
Abstract :
The quantization of magnetic resonance imaging (MRI) data can cause information loss due to quantizer/data mismatch. The authors address a method for improved quantization as well as techniques for measuring the improvement in such methods. A dual quantizer scheme is described and simulated which is fast and more accurately quantizes MRI data than conventional methods. The approach is to use two quantizers, one for the high-level data and one for the low-level data. This adaptive, dual quantization scheme is simple and provides significant improvements in image quality, especially for three-dimensional (3-D) acquisition. Results are given which show how well the low frequencies are represented and indicate the increased fidelity of the high-frequency components. These results show a significant improvement in signal-to-noise ratio as well as in detection tasks for both noiseless data and data which include varying amounts of system noise
Keywords :
biomedical NMR; data quantization; detection tasks; dual quantizers; high-level data; low-level data; magnetic resonance imaging; medical diagnostic imaging; noiseless data; signal-to-noise ratio; system noise; Dynamic range; Image quality; Imaging phantoms; Liver; Low-frequency noise; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Quantization; Signal to noise ratio;
Journal_Title :
Medical Imaging, IEEE Transactions on