Abstract: A method includes decomposing, for each of a plurality of orthogonal slices, a set of PRF baseline images for the orthogonal slice into a set of baseline image features for the orthogonal slice; acquiring, using a magnetic imaging resonance (MRI) scanner of a MRI system based on a RF excitation pulse sequence for each of the plurality of orthogonal slices, a combined multi-encoded PRF treatment image; subtracting a weighted sum of the sets of baseline image features from the combined multi-encoded PRF treatment image to obtain a combined treatment-specific temperature information of the imaging region that provides multi-orthogonal slice temperature information associated with or resulting from treatment or thermal ablation of the imaging region of the patient after subtraction or removal of the baseline image features; and processing the combined treatment-specific temperature information to obtain slice-specific treatment-specific temperature information for each of the plurality of orthogonal slices.

Abstract: A system for isolating signals from individual vehicles. An array of sensors generates a plurality of time records. The time records are transformed into spectrogram structures, and for each time-frequency point in the spectrogram structures, a bearing is calculated, to form a movement structure. A Hough transform is used to fit a movement model to the movement structure, to form a Hough transform structure. Peaks in the Hough transform structure correspond to vehicles and their position in the Hough transform structure correspond to motion parameters, such as the velocity of the vehicle, and the time of closest approach of the vehicle to the array of acoustic sensors. A model of the motion of a vehicle is then used to associate, with the vehicle, points (e.g., structure elements in the spectrogram structures) from the data.

Abstract: A system for isolating signals from individual vehicles. An array of sensors generates a plurality of time records. The time records are transformed into spectrogram structures, and for each time-frequency point in the spectrogram structures, a bearing is calculated, to form a movement structure. A Hough transform is used to fit a movement model to the movement structure, to form a Hough transform structure. Peaks in the Hough transform structure correspond to vehicles and their position in the Hough transform structure correspond to motion parameters, such as the velocity of the vehicle, and the time of closest approach of the vehicle to the array of acoustic sensors. A model of the motion of a vehicle is then used to associate, with the vehicle, points (e.g., structure elements in the spectrogram structures) from the data.