The accuracy (proximity to the true value) and precision (reproducibility) of relaxation times derived from nuclear magnetic resonance images were investigated. Two methods of deriving relaxation times were considered. A patient scanning protocol in which the minimum number of scans necessary for the calculation (three) were performed. Calculated T1 and T2… (More)
The accuracy of area measurements made on magnetic resonance (MR) and CT images with clinical general purpose scanners was compared using automatic boundary detection. Both backprojection and two-dimensional Fourier transform reconstruction were used with several pulse sequences for the MR images. Several phantoms were scanned with different receiver coils… (More)
A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current "cosinor" approach. Developments include estimation of the linear trend and fitting secondary wave forms.
An analysis of the bulging of the annulus fibrosus as a function of the height of the intervertebral disc during compression is presented. The theory was compared with the results of experimental tests on rabbit lumbar discs. When viewed in profile the ventral bulge closely resembled an arc of a circle; at each stage of compression it appeared to extend… (More)
One possible means of capturing word meanings in a computer program for processing human languages is to use a form of distributed representation in which each such meaning is converted into a point in an n-dimensional space (Sutcliie, 1992a). This type of representation is interesting because while it does not provide exhaustive information about any… (More)
Pattern recognition software was developed and applied together with statistical techniques to articular cartilage data from the knee joint of the baboon. The standard statistical method used for comparison was ANOVA which indicates linear discrimination. In addition a Karhunen-Loève expansion was performed to reduce the dimensionality of the data and… (More)