Electricity: measuring and testing – Particle precession resonance – Using a nuclear resonance spectrometer system
Patent
1992-05-15
1994-05-10
Tokar, Michael J.
Electricity: measuring and testing
Particle precession resonance
Using a nuclear resonance spectrometer system
G01V 300
Patent
active
053111311
ABSTRACT:
An MRI technique in which the similarity of samples from different portions of a body is determined and displayed. In one embodiment, the method can be used to track the spread of a known primary tumor to other portions of a patient's body. The MRI apparatus is used to produce a training set comprising one or more training samples. The training set is formed from a plurality of congruent first images of a training region of the body. Each first image is produced using an MRI pulse sequence different from the pulse sequences used to produce the other first images. Each first image comprise an array of pixels, and each training sample comprises a spatially aligned set of pixels from each first image. The same technique is used to produce a plurality of test samples corresponding to a test region of the same body. The test samples are produced using the same pulse sequences as the training samples. The training and test samples are then compared, to produce similarity data indicating, for each test sample, the degree of similarity between the test sample and the training samples. A display is then generated based upon the similarity data.
REFERENCES:
patent: 4642778 (1987-02-01), Hieftje et al.
patent: 4734646 (1988-03-01), Shendy et al.
patent: 4736751 (1988-04-01), Gevins et al.
patent: 5003979 (1991-04-01), Merickel et al.
patent: 5218529 (1993-06-01), Meyer et al.
Tien, R. D., "Fat-Suppression MR Imaging in Neuroradiology: Techniques and Clinical Application," American Journal of Roentgenology 158:369-379 (Feb. 1992).
Wang, Y., Veltkamp, D. J., Kowalski, B. R., "Multivariate Instrument Standardization," Analytical Chemistry 63:2750-2756 (Dec. 1991).
Tzalmona, A., Armstrong, R. L., Menzinger, M., Cross, A., Lemaire, C., "Detection of chemical waves by magnetic resonance imaging," Chemical Physics Letters 174:199-202 (Nov. 1990).
Jungke, M., von Seelen, W., Bielke, G., Meindl, S., Krone, G., Grigat M., Higer, P., Pfannenstiel, P., "Information Processing in Nuclear Magnetic Resonance Imaging", Magnetic Resonance Imaging 6:683-693 (May 1988).
Pearce, R. B., "Expert systems enable computers to share in imaging decisions," Diagnostic Imaging pp. 146-152 (May 1987).
Hylton, N. M., Ortendahl, D. D., "Information Processing in Magnetic Resonance Imaging," Critical Reviews in Diagnostic Imaging 26(4):325 (1986).
Nyman, R., Rhen S., Ericson, A., Glimelius, B., Hagberg, H., Hemmingsson, A., Sundstrom, C., "An Attempt to Characterize Malignant Lymphoma in Spleen, Liver and Lymph Nodes with Magnetic Resonance Imaging," Yearbook of Diagnostic Radiology pp. 294-295 (1989).
Geladi, P., Isaksson, H., Lindqvist, L., Wold, S., Esbensen K., "Principal Component Analysis on Multivariate Images."
DeLaPaz, R. L., Bernstein, R., "Computerized Analysis and Information Extraction of Medical Magnetic Resonance Images (MRI)" SPIE 902:151-154 (1988).
Grahn, H., Szeverenyi, N. M., Roggenbuck, M. W., DeLaglio, F., Geladi, P., "Data analysis of Multivariate Magnetic Resonance Images" pp. 1-37.
Vannier, M. W., Butterfield, R. L., Rickman, D. L., Jordan, D. M., Murphy, W. A., Biondetti, P. R., "Multispectral Magnetic Resonance Image Analysis," CRC Critical Reviews in Biomedical Engineering 15:117-144 (1987).
Grahn, H., Szeverenyi, N. M., Roggenbuck, M. W., Geladi, P., "Tissue Discrimination in Magnetic Resonance Imaging: A Predictive Multivariate Approach," Chemometrics and Intelligent Laboratory Systems 7:87-93 (1989).
Sharaf, M. A., Illman, D. L. Kowalski, B. R., "Chemical Analysis: A Series of Monographs on Analytical Chemistry and Its Applications," Wiley-Interscience Publications 82:281-295.
Resonance NewsLetter, No. 25, pp. 1-22, Oct. 1991.
Meeting Abstract, Radiology 1989 173CP:227-228.
Oppelt, A., "Entwicklung und Erprobung von Funktionsmustern fur die Kernspintographie," Siemens Forschungs Und Entwicklungsberichte, vol. 15, No. 2, pp. 78-85, 1986.
Hyman, et al., "Characterization of Normal Brain Tissue Using Seven Calculated MRI Parameters and a Statistical Analysis System," Magnetic Resonance in Medicine, vol. 11, No. 1, pp. 22-34, Jul., 1989.
Kapouleas, T., "Segmentation and Feature Extraction for Magnetic Resonance Brain Image Analysis," 10th International Conference on Pattern Recognition, pp. 583-590, Jun. 16, 1990.
Merickel, et al., "Diseased Tissue Identification and Quantification Utilizing MRI," Proc. of the 12th Annual Int'l Conf. of the IEEE Engineering ini Medicine and Biological Society, vol. 12, pp. 394-395, Nov., 1990.
Bydder, G. M., "Interpretation and Clinical Application of Magnetic Resonance Imaging," IEEE Transactions on Magnetics, vol. 26, No. 5, pp. 2089-2091, Sep., 1990.
Madsen, et al., "Low-Contrast Focal Lesion Detectability Phantom for 1H MR Imaging," Medical Physics, vol. 18, No. 3, pp. 549-554, May, 1991.
Board of Regents of the University of Washington
Tokar Michael J.
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