Electricity: measuring and testing – Particle precession resonance – Using a nuclear resonance spectrometer system
Reexamination Certificate
2011-01-04
2011-01-04
Arana, Louis M (Department: 2831)
Electricity: measuring and testing
Particle precession resonance
Using a nuclear resonance spectrometer system
C324S317000
Reexamination Certificate
active
07863896
ABSTRACT:
Embodiments of the present invention relate to systems and methods for calibrating functional magnetic resonance imaging of living tissue. For example, a calibration method includes providing a contrast signal simulation device configured for generating one or more pre-determined contrast simulation signals selected from a group consisting of BOLD and BOSS contrast simulation signals that simulate at least one contrast signal generated by living tissue of a subject and positioning the contrast signal simulation device adjacent to the subject. The method includes using an imaging instrument to take first and second data sets from the subject's tissue while the contrast signal simulation device is disposed adjacent to the subject and while generating and not generating the one or more pre-determined contrast simulation signals, respectively. The method also includes using the first and second data sets to determine at least one figure of merit of the imaging instrument, the contrast simulation device, and/or the living tissue.
REFERENCES:
patent: 6370416 (2002-04-01), Rosenfeld
patent: 6539246 (2003-03-01), Heid
patent: 6618607 (2003-09-01), Song
patent: 6704593 (2004-03-01), Stainsby et al.
patent: 6708051 (2004-03-01), Durousseau
patent: 6845261 (2005-01-01), Pettersson et al.
patent: 6915152 (2005-07-01), Zhu
patent: 7215122 (2007-05-01), Zhao et al.
patent: 2002/0045814 (2002-04-01), Heid
patent: 2002/0193684 (2002-12-01), Anderson et al.
patent: 2003/0078491 (2003-04-01), Mueller et al.
patent: 2005/0110490 (2005-05-01), Zhao et al.
patent: 2007/0088211 (2007-04-01), Cheng et al.
patent: 2007/0287904 (2007-12-01), Li et al.
patent: 2004-248823 (2004-09-01), None
patent: WO 2004/104617 (2004-12-01), None
patent: WO 2005/031282 (2005-04-01), None
patent: WO 2005/033725 (2005-04-01), None
Backfrieder et al., “Quantification of Intensity Variations in Functional MR Images Using Rotated Principal Components,”Physics in Medicine and Biology, vol. 41, 1996, pp. 1425-1438.
Buxton et al., “Modeling the Hemodynamic Response to Brain Activation,”NeuroImage, vol. 23, 2004, pp. S220-S233.
Cheng et al., “SmartPhantom—an fMRI Simulator,”Magnetic Resonance Imaging, vol. 24, 2006, pp. 301-313.
The International Search Report and Written Opinion for International Appl. No. PCT/US2007/066869, mailed Oct. 16, 2007.
Fujita et al., “Quantitative Mapping of Cerebral Deoxyhemoglobin Content Using MR Imaging,”NeuroImage, vol. 20, 2003, pp. 2071-2083.
Hyder et al., “Quantitative fMRI of Rat Brain by Multi-Modal MRI and MRS Measurements,”International Congress Series, vol. 1235, 2002, pp. 57-71.
Hyder et al., “Quantitative Functional Imaging of the Brain: Towards Mapping Neuronal Activity by BOLD fMRI,”NMR in Biomedicine, vol. 14, 2001, pp. 413-431.
Koopmans et al., “Development of a Reference Phantom for fMRI Studies,”Proceedings of the International Society for Magnetic Resonance in Medicine 11thScientific Meeting and Exhibition, Jul. 10-16, 2003, Toronto, p. 1039.
Kruger et al., “Physiological Noise in Oxygenation-Sensitive Magnetic Resonance Imaging,”Magnetic Resonance in Medicine, vol. 46, 2001, pp. 631-637.
Lee et al., “fMRI Quality Assurance Using Phase Space Reconstruction of SmartPhantom Simulations of BOLD Contrast,”Proceedings of the International Society for Magnetic Resonance in Medicine 14Scientific Meeting and Exhibition, May 6-12, 2006, Seattle, p. 3266.
Li et al., “Characterization and Suppression of System Noise Due to Scanner Instability in fMRI Using a Smart Phantom Bold Simulator,”Proceedings of the International Society for Magnetic Resonance in Medicine 14thScientific Meeting and Exhibition, May 6-12, 2006, Seattle, p. 2802.
Morgan et al., “Comparison of Functional MRI Image Realignment Tools Using a Computer-Generated Phantom,”Magnetic Resonance in Medicine, vol. 46, 2001, pp. 510-514.
Nilsson et al., “Evaluation of a Two Compartment Gel Phantom for fMRI,”Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 14, 2006, p. 2805.
Ogawa et al., “Functional Brain Mapping by Blood Oxygenation Level-Dependent Contrast Magnetic Resonance Imaging,”Biophysics Journal, vol. 64, Mar. 1993, pp. 803-812.
Pickens et al., “Development of Computer-Generated Phantoms for FMRI Software Evaluation,”Magnetic Resonance Imaging, vol. 23, pp. 653-663.
Price et al., “Practical Aspects of Functional MRTI (NMR Task Group #8)”,Medical Physics, vol. 29, No. 8, Aug. 2002, pp. 1892-1912.
Renvall et al., “Functional Phantom for fMRI: a Feasibility Study,”Magnetic Resonance Imaging, vol. 24, 2006, pp. 315-320.
Seiyama et al., “Circulatory Basis of fMRI Signals: Relationship Between Changes in the Hemodynamic Parameters and BOLD Signal Intensity,”NeuroImage, vol. 21, 2004, pp. 1204-1214.
Triantafyllou et al., “Comparison of Physiological Noise at 1.5 T, 3 T and 7 T and Optimization of fMRI Acquisition Parameters,”NeuroImage, vol. 26, 2005, pp. 243-250.
Windischberger et al., “Fuzzy Cluster Analysis of High-Field Functional MRI Data,”Artificial Intelligence in Medicine, vol. 29, 2003, pp. 203-223.
Wise et al., “Resting Fluctuations in Arterial Carbon Dioxide Induce Significant Low Frequency Variations in BOLD Signal,”NeuroImage, vol. 21, 2004, pp. 1652-1664.
Yacoub et al., “Signal and Noise Characteristics of Hahn SE and GE BOLD fMRI at 7 T in Humans,”NeuroImage, vol. 24, 2005, pp. 738-750.
Zarahn et al., “Some Limit Results for Efficiency in Stochastic fMRI Designs,”Biometrical Journal, vol. 44, 2002, p. 496-509.
Zhao et al., “Calibration of fMRI by Simulating BOLD Contrast in the Living Human Brain,”Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 14, 2006, p. 2832.
Zhao et al., “Development of Smart Phantom for Characterizing fMRI Informatics Tools,”Proceedings of the International Society for Magnetic Resonance in Medicine 11thScientific Meeting and Exhibition, Jul. 10-16, 2003, Toronto, p. 1834.
Zhao et al., “Test-Retest Reliability of fMRI Using SmartPhantom,”Proceedings of the International Society for Magnetic Resonance in Medicine 14thScientific Meeting and Exhibition, May 6-12, 2006, Seattle, p. 2835.
Kim et al., “Determination of Relative CMRO2From CBF and BOLD Changes: Significant Increase of Oxygen Consumption Rate During Visual Stimulation,”Magnetic Resonance in Medicine,vol. 41, 1999, pp. 1152-1161.
Klaiman et al., “Blind Separation of Sources in Functional MRI Sequences,” Jul. 2002, <http://visl.technion.ac.il/projects/PSPL/2002s01/fmri—book.pdf>.
Stenger et al., “3D Spiral Cardiac/Respiratory Ordered fMRI Data Acquisition at 3 Tesla,”Magnetic Resonance in Medicine,vol. 41, 1999, pp. 983-991.
Yoo et al., “Multiresolution Data Acquisition and Detection in Functional MRI,”NeuroImage,vol. 14, pp. 1476-1485. (2001).
Alston & Bird LLP
Arana Louis M
University of Florida Research Foundation Inc.
LandOfFree
Systems and methods for calibrating functional magnetic... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Systems and methods for calibrating functional magnetic..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for calibrating functional magnetic... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2678203