Abstract: A machine implemented method includes acquiring at a processor a first image of a patent by performing a computed tomography (CT) scan of a patient and applying at the processor a generative neural network model to the first image of the patient to generate a second image of the patient. The method may further include performing, at the processor, an analysis using the first image and the second image. The first image may be a first pulmonary image and the second image may be a second pulmonary image. The first pulmonary image may show lungs at a first volume and the second pulmonary image may show the lungs at a second volume, the first volume different from the second volume. The first pulmonary image may be a scan of the lungs at expiration and the second pulmonary image may be an inspiratory image of the lungs.

Abstract: A machine implemented method includes acquiring at a processor a first image of a patent by performing a computed tomography (CT) scan of a patient and applying at the processor a generative neural network model to the first image of the patient to generate a second image of the patient. The method may further include performing, at the processor, an analysis using the first image and the second image. The first image may be a first pulmonary image and the second image may be a second pulmonary image. The first pulmonary image may show lungs at a first volume and the second pulmonary image may show the lungs at a second volume, the first volume different from the second volume. The first pulmonary image may be a scan of the lungs at expiration and the second pulmonary image may be an inspiratory image of the lungs.

Abstract: Embodiments of the present systems and methods may provide fissure detection in CT images, with improved performance, accuracy, and specificity. For example, in an embodiment, a method may comprise imaging, using a computed tomography system, at least one lung, to generate, at a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, at least one computed tomography image of the at least one lung, determining, at the computer system, at least one approximate fissure region of interest in the at least one lung image, determining, at the computer system, a more precise fissure location within the at least one region of interest, and generating an image of the lung including indication of the determined fissure location.

Abstract: Embodiments of the present systems and methods may provide fissure detection in CT images, with improved performance, accuracy, and specificity. For example, in an embodiment, a method may comprise imaging, using a computed tomography system, at least one lung, to generate, at a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, at least one computed tomography image of the at least one lung, determining, at the computer system, at least one approximate fissure region-of-interest in the at least one lung image, determining, at the computer system, a more precise fissure location within the at least one region of interest, and generating an image of the lung including indication of the determined fissure location.