Nordic Bioscience Imaging A/s

University of Copenhagen

Synarc Inc

Nordio Bioscience A/s

Marleen De Bruijne

Mads Nielsen

Claus Christiansen

Lauge Sørensen

Erik B Dam

Lars A Conrad-Hansen

Francois Bernard Lauze

Paola Pettersen

Michael Lund

François Lauze

Lars Arne Conrad-Hansen

Francois B Lauze

The invention provides methods for automated classification of a medical diagnostic image of a lung according to its deduced probability of relating to a lung of a patient who is suffering from a diffuse parenchymal lung disease such as chronic obstructive pulmonary disease (COPD), cystic fibrosis, or severe asthma, or to a class of patients characterized by the severity of such a condition, or to a class of patients characterized by a prognostic likelihood of developing such a condition or severity of condition.

Classification of medical diagnostic images

A method of deriving an estimate of the extent of fracture in a vertebra shown in an image of part of A spine is provided. The images of at least two vertebrae are segmented to obtain data representative of the shape and size of each of the vertebrae. An approximation of the shape of a first of the vertebrae is reconstructed by comparing the data obtained for a second of the two vertebrae with a mathematical model of at least the same two vertebrae of an unfractured spine. The unfractured shape of the first vertebra is predicted to enable a comparison of the shape and size of the first vertebra as imaged with the predicted unfractured shape and size. The difference between the respective images is subsequently computed to obtain a result representative of the extent of fracture in the first vertebra.

Vertebral fracture quantification

A method of deriving a quantitative measure of a degree of calcification of a blood vessel such as an aorta by processing an image such as an X-ray image of at least a part of the blood vessel containing said calcification comprises: taking a starting set of digital data representative of an image of at least part of a blood vessel containing a calcification set against a background; estimating the boundary of the calcification; using inpainting to replace digital data in said starting set representing the calcification with data extrapolating the boundary of the background to extend over the area of calcification, and so generating an inpainted set of digital data; and computing the difference between the starting set of digital data and the inpainted set of digital data to obtain a quantitative measure of the degree of calcification of the blood vessel.

Method of deriving a quantitative measure of a degree of calcification of an aorta

A method of deriving a quantitative measure of a degree of calcification of a blood vessel such as an aorta by processing an image such as an X-ray image of at least a part of the blood vessel containing said calcification comprises:

A method of deriving a quantitative measure of a degree of calcification of a blood vessel such as an aorta by processing an image such as an X-ray image of at least a part of the blood vessel containing said calcification comprises: taking a starting set of digital data representative of an image of at least part of a blood vessel containing a calcification set against a background;

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Copenhagen, Denmark

Marleen De Bruijne