Abstract: A magnetic resonance imaging (MRI) system, comprising: a magnetic resonance imaging scanner configured to generate a plurality of signals for forming at least one magnetic resonance image of a soft tissue region from a subject under observation, wherein the at least one magnetic resonance image provides at least one integrating feature to facilitate automatic segmentation; a signal processing system in communication with the magnetic resonance imaging scanner to receive the plurality of signals; and a data storage unit in communication with the signal processing system, wherein the data storage unit contains at least one template corresponding to the soft tissue region, wherein the signal processing system is adapted to process the plurality of signals received from the magnetic resonance imaging scanner to automatically perform segmentation for the soft tissue region of the subject under observation by utilizing the at least one template and the at least one integrating feature.

Abstract: A magnetic resonance imaging (MRI) system, comprising: a magnetic resonance imaging scanner configured to generate a plurality of signals for forming at least one magnetic resonance image of a soft tissue region from a subject under observation, wherein the at least one magnetic resonance image provides at least one integrating feature to facilitate automatic segmentation; a signal processing system in communication with the magnetic resonance imaging scanner to receive the plurality of signals; and a data storage unit in communication with the signal processing system, wherein the data storage unit contains at least one template corresponding to the soft tissue region, wherein the signal processing system is adapted to process the plurality of signals received from the magnetic resonance imaging scanner to automatically perform segmentation for the soft tissue region of the subject under observation by utilizing the at least one template and the at least one integrating feature.

Abstract: Provided are methods for synchronizing multiple video recordings of the same event using audio signals of the recordings. An algorithm is designed to generate candidate time offsets for pairwise matches of video recordings based on audio signals corresponding to the recordings, and combine the candidate time offsets to obtain the most accurate actual time offset between each pair of recordings. Each candidate time offset for each pairwise match of recordings is assigned a confidence measure indicating how likely it is that the particular time offset is correct for the given pair of recordings. The confidence measure assigned to a particular time offset is based on various components and characteristics of the audio signal pair corresponding to the video recordings.

Abstract: Provided are methods for synchronizing multiple video recordings of the same event using audio signals of the recordings. An algorithm is designed to generate candidate time offsets for pairwise matches of video recordings based on audio signals corresponding to the recordings, and combine the candidate time offsets to obtain the most accurate actual time offset between each pair of recordings. Each candidate time offset for each pairwise match of recordings is assigned a confidence measure indicating how likely it is that the particular time offset is correct for the given pair of recordings. The confidence measure assigned to a particular time offset is based on various components and characteristics of the audio signal pair corresponding to the video recordings.

Abstract: A non-invasive imaging system, comprising: an imaging scanner; a signal processing system in communication with the imaging scanner to receive an imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores template data corresponding to a tissue region of a subject under observation, wherein the signal processing system is adapted to compute, using the imaging signal and the template data, refined template data corresponding to the tissue region, and wherein the refined template data incorporates subpopulation variability information associated with the tissue region such that the signal processing system provides an image of the tissue region in which a substructure is automatically identified taking into account the subpopulation variability information.

Abstract: A magnetic resonance imaging (MRI) system, comprising: a MRI scanner; a signal processing system in communication with the magnetic resonance imaging scanner to receive magnetic resonance (MR) signals for forming magnetic resonance images of a subject under observations; a data storage unit in communication with the signal processing system, wherein the data storage unit contains database data corresponding to a soft tissue region of the subject under observation. The database data includes information identifying at least one soft tissue substructure encompassed by the soft tissue region of the subject under observation. The signal processing system is adapted to process MR signals received from the MRI scanner to automatically identify at least one soft tissue substructure encompassed by the soft tissue region of the subject under observation.

Abstract: A non-invasive imaging system, comprising: an imaging scanner; a signal processing system in communication with the imaging scanner to receive an imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores template data corresponding to a tissue region of a subject under observation, wherein the signal processing system is adapted to compute, using the imaging signal and the template data, refined template data corresponding to the tissue region, and wherein the refined template data incorporates subpopulation variability information associated with the tissue region such that the signal processing system provides an image of the tissue region in which a substructure is automatically identified taking into account the subpopulation variability information.

Abstract: A magnetic resonance imaging (MRI) system, comprising: a magnetic resonance imaging scanner configured to generate a plurality of signals for forming at least one magnetic resonance image of a soft tissue region from a subject under observation, wherein the at least one magnetic resonance image provides at least one integrating feature to facilitate automatic segmentation; a signal processing system in communication with the magnetic resonance imaging scanner to receive the plurality of signals; and a data storage unit in communication with the signal processing system, wherein the data storage unit contains at least one template corresponding to the soft tissue region, wherein the signal processing system is adapted to process the plurality of signals received from the magnetic resonance imaging scanner to automatically perform segmentation for the soft tissue region of the subject under observation by utilizing the at least one template and the at least one integrating feature.

Abstract: A magnetic resonance imaging (MRI) system, comprising: a MRI scanner; a signal processing system in communication with the magnetic resonance imaging scanner to receive magnetic resonance (MR) signals for forming magnetic resonance images of a subject under observations; a data storage unit in communication with the signal processing system, wherein the data storage unit contains database data corresponding to a soft tissue region of the subject under observation. The database data includes information identifying at least one soft tissue substructure encompassed by the soft tissue region of the subject under observation. The signal processing system is adapted to process MR signals received from the MRI scanner to automatically identify at least one soft tissue substructure encompassed by the soft tissue region of the subject under observation.