Burlina
Philippe M. Burlina, North Bethesda, MD US
Patent application number | Description | Published |
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20130114868 | Hyperspectral Imaging for Detection of Skin Related Conditions - A method of detecting a skin condition may include employing a multiband hyperspectral sensor to obtain multi-spectral data, employing the multi-spectral data to map constitutive skin parameters to corresponding spectral signatures via a forward model that enables generation of a set of samples including a plurality of parameters mapped to a plurality of spectral signatures, utilizing the set of samples to employ machine learning to generate an inverse model to enable mapping of a spectral signature of skin of a patient to corresponding skin parameters, estimatingconstitutive skin parameters of the skin of the patient based on the inverse model, and determining a distribution of the constitutive parameters for one or more skin locations. | 05-09-2013 |
Philippe M. Burlina, N. Bethesda, MD US
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20130197370 | Automated Pneumothorax Detection - 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. | 08-01-2013 |
20140071125 | Patient-Specific Segmentation, Analysis, and Modeling from 3-Dimensional Ultrasound Image Data - 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. | 03-13-2014 |
20150065849 | Automated Pneumothorax Detection - 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. | 03-05-2015 |
Philippe Martin Burlina, North Bethesda, MD US
Patent application number | Description | Published |
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20110242306 | SYSTEM AND METHOD FOR AUTOMATED DETECTION OF AGE RELATED MACULAR DEGENERATION AND OTHER RETINAL ABNORMALITIES - A system and method for automated detection of age related macular degeneration and other retinal abnormalities which may have a retinal scanner capable of obtaining retinal data from a subject. The retinal scanner may be coupled to a central processing unit (CPU) which may have memory storing CPU-executable instructions which may detect retinal abnormalities. When the CPU receives retinal data from the retinal scanner, the system may perform CPU-executable instructions for detecting retinal abnormalities. The system may analyze the retinal data to determine one or more healthy areas and, based on the analyzed healthy area, the system may detect abnormalities in the retinal data. | 10-06-2011 |
Phillippe M. Burlina, Rockville N. Bethesda, MD US
Patent application number | Description | Published |
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20100322480 | Systems and Methods for Remote Tagging and Tracking of Objects Using Hyperspectral Video Sensors - Detection and tracking of an object by exploiting its unique reflectance signature. This is done by examining every image pixel and computing how closely that pixel's spectrum matches a known object spectral signature. The measured radiance spectra of the object can be used to estimate its intrinsic reflectance properties that are invariant to a wide range of illumination effects. This is achieved by incorporating radiative transfer theory to compute the mapping between the observed radiance spectra to the object's reflectance spectra. The consistency of the reflectance spectra allows for object tracking through spatial and temporal gaps in coverage. Tracking an object then uses a prediction process followed by a correction process. | 12-23-2010 |