Algotec Systems Ltd.

Philips Medical Systems Technologies Ltd.

Guy E Engelhard

Tiferet T Gazit

Reuven R Shreiber

Ohad Silbert

Hadar Porat

Oranit Dror

Uri U Einav

Menashe Benjamin

Hadas H Padan

Tiferet Gazit

Meir Cohen

David Altal

Guy Gelles

Ron Kimchi

Erez Bibi

Kiran Krishnamurthy

Amir A Yaakobi

Yosef Y Markov

A method for automated segmentation of a blood vessel of a head and neck of a subject in a medical image, the method comprising: identifying the location of anatomical landmarks in the medical image; identifying regions of interest in the medical image based on the landmarks; segmenting segments of blood vessels in the medical image; classifying at least one of the segments as defining the blood vessel based on its position relative to the landmarks within the regions of interest to create a classified blood vessel; identifying a starting seed for the blood vessel from the classified blood vessel; identifying an ending seed for the blood vessel from the classified blood vessel; segmenting the blood vessel between the starting seed and the ending seed; and defining a path between the starting seed and the ending seed.

Method for segmentation of the head-neck arteries, brain and skull in medical images

A method of sending a medical data file from an external device to a computer system and storing the data file associated with a patient's identity, comprising: a) the computer system receiving information that a data file to be sent to the computer system from the external device (or from one of a set of external devices) is to be associated with the patient's identity; b) sending the data file from the external device to the computer system, with the data file identified as coming from the external device; c) the computer system finding the patient's identity from the identification of the image file as coming from the external device, and from the information that a data file to be associated with the patient's identity was to be sent from that external device; and d) the computer system storing the data file, associating the data file with the patient's identity.

Patient medical data acquisition system and method using an external device

Spatial segmentation of lymph nodes in a 3-D medical image is automatically determined, based on a set of inputs provided by a user which define a low number of initial conditions for segmentation. In some embodiments, the automation comprises producing a lymph node segmentation from the 3-D image based on a 2-D image slice and a representative line segment on that slice. In some embodiments, segmentation comprises a two tiered approach (2-D segmentation, followed by 3-D segmentation) based on adaptation of the level set framework to the particular conditions of lymph node segmentation.

Method and system for spatial segmentation of anatomical structures

A system and method for performing DSA (digital subtraction angiography), which does not require a non-enhanced or 'mask' image to be obtained.

Method for efficient digital subtraction angiography

A system and method for automatic detection of an object feature, such as a lesion, across a plurality of sets of image data, taken from the same subject, which may optionally be a human patient but which may also optionally be any type of animal or a non-biological subject.

Image analysis for specific objects

A method for error correction for segmented three dimensional image data. The method includes receiving segmented three dimensional image data, the segmented three dimensional image data being divided into a plurality of slices; correcting at least one contour of the segmented three dimensional image data on at least one slice according to a command from a user to form a corrected contour; and automatically interpolating a correction represented by the corrected contour to a plurality of slices of the segmented three dimensional image data.

Method and systems for error correction for three-dimensional image segmentation

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Raanana, Israel

Guy E Engelhard