Abstract: Automated classification of sensitive data in a database, which includes: Retrieving a catalog of a database. Sampling record values from at least some of the columns. Generating a map of probable associations between different columns of tables of the database. Applying a machine learning classifier to the sampled record values, to classify the columns of the sampled records into multiple data classes, some being sensitive data classes. Classifying columns of non-sampled record values according to the classification of the sampled record values, based on the map. Searching all objects of the database for existence of record values of the classified columns, to output value and field name pairs. Scoring the pairs according to a measure of their repetitiveness in the output. Increasing the score of the pairs whose field names are similar. Based on the scores, indicating which fields of the database are likely to include sensitive data.

Abstract: Method, system and non-transitory computer-accessible medium can be provided for performing magnetic resonance spectroscopy for at least one structure. For example, with such method and/or computer-accessible medium, it is possible to receive information related to a substantially simultaneous acquisition of a stimulated echo pathway and a double spin echo associated with at least one portion of the at least one structure.

Abstract: Method, system and non-transitory computer-accessible medium can be provided for performing magnetic resonance spectroscopy for at least one structure. For example, with such method and/or computer-accessible medium, it is possible to receive information related to a substantially simultaneous acquisition of a stimulated echo pathway and a double spin echo associated with at least one portion of the at least one structure.

Abstract: An exemplary embodiment of system, method, and computer accessible medium for magnetic resonance spectroscopic imaging for improving signal-to-noise ratio per unit time and optimizing duty cycle in MRSI and/or for reducing chemical-shift artifacts can be provided. In one exemplary embodiment, an excitation pulse can be forwarded to the target and acquiring a signal from the target by multiplexing in time and space. The multiplexing procedure in time can involve (i) a segmentation of a field of view of the at least one portion of the target into a predetermined number of slabs that are acquired sequentially during each repetition time, and/or (ii) an acquisition of multiple voxels. Data can be generated based on the acquired signal. According to another exemplary embodiment, an excitation pulse can be provided to the target, and a signal can be acquired from the target. The excitation pulse can be a series of cascaded Hadamard pulse components. Data can be generated based on the acquired signal.

Abstract: An exemplary embodiment of system, computer-accessible medium and method for determining exemplary values for acquisition parameters for a given time (e.g., imaging time) is provided, e.g., with the exemplary values being selectable to increase the signal-to-noise ratio. According to certain exemplary embodiments of the present disclosure, data (e.g., image data) associated with at least one portion of a target can be generated. For example, a first signal from the target resulting from at least one first excitation pulse forwarded toward the target can be acquired using a plurality of acquisition parameters having first values. Further, a second signal from the target resulting from at least one second excitation pulse forwarded toward the target can be acquired using a plurality of acquisition parameters having second values, with the second values being different from the first values. The data (e.g., image data) may be generated based on the first and second signals.

Abstract: An exemplary embodiment of system, method, and computer accessible medium for magnetic resonance spectroscopic imaging for improving signal-to-noise ratio per unit time and optimizing duty cycle in MRSI and/or for reducing chemical-shift artifacts can be provided. One exemplary embodiment includes forwarding an excitation pulse to the target and acquiring a signal from the target by multiplexing in time and space. Multiplexing in time may involve segmenting a field of view of the at least one portion of the target into a predetermined number of slabs that are acquired sequentially during each repetition time. Multiplexing in space may involve acquiring multiple voxels. Data may be generated based on the acquired signal. A further exemplary embodiment includes providing an excitation pulse to the target and acquiring a signal from the target. The excitation pulse can be a series of cascaded Hadamard pulse components. Data may be generated based on the acquires signal.

Abstract: An exemplary embodiment of system, computer-accessible medium and method for determining exemplary values for acquisition parameters for a given time (e.g., imaging time) can be provided, e.g., with the exemplary values being selectable to increase the signal-to-noise ratio. In accordance with one exemplary embodiment, method, system and computer accessible medium can be provided for generating data (e.g., image data) associated with at least one portion of a target. For example, at least one first excitation pulse can be forwarded toward the target. A first signal from the target resulting from the at least one first excitation pulse may be acquired using a plurality of acquisition parameters having first values. Further, at least one second excitation pulse can be forwarded toward the target.

Abstract: Acquisition of three-dimensional image-guided localized proton spectroscopy (.sup.1 H-MRS) in the human brain is achieved on a standard clinical imager with a hybrid of chemical shift imaging (CSI) and transverse Hadamard spectroscopic imaging (HSI). 16.times.16.times.4 arrays of 3.5 and 1 ml voxels were obtained in 27 minutes. The spatially-selective HSI 90.degree. pulses were incorporated naturally into a PRESS double spin-echo sequence to subdivide the VOI into 4 partitions along its short axis. Two-dimensional CSI is performed along the other long axes. Because the hybrid excites the spins in the entire VOI, a .sqroot.N signal-to-noise-ratio (SNR) gain per given examination time is realized compared to sequentially interleaving N two-dimensional slices. A twofold gain in sensitivity is demonstrated in the brain for N=4.

Abstract: For use in nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI), a method and apparatus for signal acquisition are disclosed. Preferred processing involves elimination of an unwanted signal by subtraction, in the time domain, of a cancellation signal from a free-induction-decay actual signal. A cancellation signal may be obtained, e.g., by smoothing a free-induction-decay signal, by curve fitting, or by computer simulation.