Title :
Adapted waveform encoding for magnetic resonance imaging
Author :
Healy, Dennis M., Jr. ; Weaver, John B.
Author_Institution :
Dept. of Math. & Comput. Sci., Dartmouth Coll., Hanover, NH, USA
Abstract :
Magnetic resonance imaging is a very flexible modality; the images produced depend critically on the values of many parameters. We have presented adapted waveform encoding as a tool for the intelligent utilization of this flexibility in several specific imaging tasks. We have seen that waveform encoding can be implemented with existing scanners, and have analyzed performance with regard to several figures of merit. We noted several performance advantages which may be attributed to the edge localization properties of the wavelet bases that can be employed in this encoding technique. Finally, a particular instance of the technique was presented in which the encoding basis was chosen to reflect statistical regularities in a particular class of standard diagnostic studies. This basis captures most of the variability of the class in the first basis elements. This can be exploited for reduction of imaging times and for progressive imaging
Keywords :
adaptive codes; biomedical NMR; image coding; medical image processing; waveform analysis; wavelet transforms; adapted waveform encoding; edge localization; figures of merit; flexibility; imaging times; magnetic resonance imaging; performance advantages; scanners; standard diagnostic studies; statistical regularities; wavelet bases; Application software; Biological tissues; Computed tomography; Electrons; Encoding; High-resolution imaging; Magnetic resonance imaging; Optical imaging; Ultrasonic imaging; X-ray imaging;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE