Abstract: A method of determining the presence of a pneumothorax includes obtaining a series of frames of image data relating to a region of interest including a pleural interface of a lung. The image data includes at least a first frame and a second frame. The method further includes identifying, via processing circuitry, the pleural interface in at least the first frame and the second frame, determining, based on computing optical flow between the first and second frames, a pleural sliding classification of the image data at the pleural interface, and determining whether a pneumothorax is present in the pleural interface based on the pleural sliding classification.

Abstract: A method of determining the presence of a pneumothorax includes obtaining a series of frames of image data relating to a region of interest including a pleural interface of a lung. The image data includes at least a first frame and a second frame. The method further includes identifying, via processing circuitry, the pleural interface in at least the first frame and the second frame, determining, based on computing optical flow between the first and second frames, a pleural sliding classification of the image data at the pleural interface, and determining whether a pneumothorax is present in the pleural interface based on the pleural sliding classification.

Abstract: A method of determining the presence of a pneumothorax includes obtaining a series of frames of image data relating to a region of interest including a pleural interface of a lung. The image data includes at least a first frame and a second frame. The method further includes identifying, via processing circuitry, the pleural interface in at least the first frame and the second frame, determining, based on computing optical flow between the first and second frames, a pleural sliding classification of the image data at the pleural interface, and determining whether a pneumothorax is present in the pleural interface based on the pleural sliding classification.

Abstract: Methods and systems to analyze and predict patient-specific physiological behavior of a human organ or anatomical entity such as the heart complex and the heart subcomponents from 3-dimensional volumetric ultrasound (3D) or time-sequential volumetric (4D) ultrasound image data, to assist physicians in performing diagnostics and cardiac preoperative planning. Also disclosed herein are methods and systems to segment patient-specific anatomical features from 3D/4D ultrasound. Also disclosed herein are methods and systems to compute patient-specific tissue motion and blood flow from 3D/4D ultrasound and contrast-enhanced 3D/4D ultrasound image data. Also disclosed herein are methods and systems to simulate the patient-specific mechanical behavior of the organ and anatomical entity using both 3D/4D ultrasound and mechanical models. Also disclosed herein are methods and systems to estimate tissue stress and strain and physiological parameters of the tissues from 3D/4D ultrasound.