Title :
Using Kriging to interpolate MRI data
Author :
Matechik, Stephen M. ; Stytz, Martin K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wright-Patterson AFB, OH, USA
Abstract :
Volumetric medical MRI data is statistically analyzed to justify representing the data as regionalized variables (REVs) that may be optimal interpolated using kriging in conjunction with a volumetric structural analysis of the modality space (MS) data. With kriging, the interpolation estimation error may be determined and subsequently projected in the final rendition of the patient space (PS) volume
Keywords :
biomedical NMR; estimation theory; image segmentation; interpolation; medical image processing; statistical analysis; Kriging; MRI data interpolation; interpolation estimation error; modality space; patient space volume; regionalized variables; statistical analysis; volumetric medical MRI data; volumetric structural analysis; Biomedical imaging; Data analysis; Estimation error; Interpolation; Magnetic analysis; Magnetic resonance imaging; Medical diagnostic imaging; Rendering (computer graphics); Space technology; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411895
