Abstract:
The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.
Abstract:
Computer-implemented methods for use in improving the diagnostic quality of images, including intravascular ultrasound (IVUS) images, are disclosed. The methods include using a non-linear, probabilistic classifier algorithm to analyze a plurality of spatiotemporal features of RF backscatter and to produce a blood likelihood map or blood probability map that corresponds to the original IVUS image. The methods disclosed herein allow for visualizing both static and dynamic characteristic of a vessel either by producing a transparency modulated color overlay of the blood likelihood map without altering the underlying IVUS image or by processing the IVUS image based upon the blood likelihood map to better distinguish between static and dynamic components of the vessel.
Abstract:
The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.
Abstract:
The invention provides methods for detecting features of interest in cardiovascular images by receiving information from a first modality and transforming information from the first modality into a first coordinate space, receiving information from a second modality and transforming information from the second modality into a second coordinate space. The first coordinate space is aligned to the second coordinate space to combine information from the first modality and the second modality into a combined data set. The method can also involve detecting the feature of interest in a vascular image based on the combined data set.
Abstract:
Computer-implemented methods for use in improving the diagnostic quality of images, including intravascular ultrasound (IVUS) images, are disclosed. The methods include using a non-linear, probabilistic classifier algorithm to analyze a plurality of spatiotemporal features of RF backscatter and to produce a blood likelihood map or blood probability map that corresponds to the original IVUS image. The methods disclosed herein allow for visualizing both static and dynamic characteristic of a vessel either by producing a transparency modulated color overlay of the blood likelihood map without altering the underlying IVUS image or by processing the IVUS image based upon the blood likelihood map to better distinguish between static and dynamic components of the vessel.
Abstract:
The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.
Abstract:
The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.
Abstract:
The invention provides systems and methods for assessing the vasculature of a subject. In certain aspects, systems and methods of the invention involve receiving functional flow data of a subject via a data collector co-located with a radiopaque label, receiving imaging data of the vasculature including the radiopaque label, generating a vasculature map corresponding to the functional flow data, and displaying the vasculature map image on a monitor.
Abstract:
The invention provides methods for detecting features of interest in cardiovascular images by receiving information from a first modality and transforming information from the first modality into a first coordinate space, receiving information from a second modality and transforming information from the second modality into a second coordinate space. The first coordinate space is aligned to the second coordinate space to combine information from the first modality and the second modality into a combined data set. The method can also involve detecting the feature of interest in a vascular image based on the combined data set.