Sync-rx Ltd.

Synx-rx, Ltd.

Eldad Klaiman

Ran Cohen

Alexander Steinberg

David Tolkowsky

Sagiv Philipp

Zohar Barzelay

Nili Karmon

Sarit Semo

Yoav Stein

Alexander Steinbert

Jacob Blank

Apparatus and methods are described for use with an imaging device () configured to acquire a set of angiographic images of a lumen. At least one processor () includes blood-velocity-determination functionality () that determines blood velocity within the lumen, via image processing. Current-flow-related-parameter-determination functionality () determines a value of a flow-related parameter at the location based upon the determined blood velocity. Flow-related-parameter-receiving functionality () receives an indication of a value of a second flow-related parameter of the subject, and index-determination functionality () determines a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter. Other applications are also described.

Determining a characteristic of a lumen by measuring velocity of a contrast agent

Apparatus and methods are described including a processor () configured to receive first and second sets of extraluminal images of a lumen, the second set being acquired while an endoluminal device is being moved through the lumen. The processor designates at least one of the first set of images as a roadmap image, and designates, within the lumen in the roadmap image, a roadmap pathway (). A plurality of features () that are visible within at least some of the second set of extraluminal images are identified, and an arrangement of three or more of the features within the image are compared to a shape of at least a portion of the roadmap pathway. Based upon the comparing, the identified features are mapped to locations along the roadmap pathway within the roadmap image. Other applications are also described.

Apparatus and methods for mapping a sequence of images to a roadmap image

Apparatus and methods are described including, using a computer processor, automatically identifying whether a given pixel within an image corresponds to a portion of an object. A set of concentric circles that are disposed around the pixel are sampled, and a first function is applied to each of the circles such that the circles are defined by a first set of rotationally invariant descriptors. A second function is applied to the set of circles to generate a second set of descriptors, each of which represents a difference between respective pairs of the circles. A third function is applied such that the second set of descriptors becomes rotationally invariant. The processor identifies whether the given pixel corresponds to the portion of the object, based upon the first and second sets of rotationally invariant descriptors. Other applications are also described.

Object identification

Apparatus and methods are described for use with a tool that is inserted into a portion of a body of a subject that undergoes cyclic motion. The apparatus and methods include using an imaging device, acquiring a plurality of images of the tool inside the portion of the body, at respective phases of the cyclic motion. Using at least one computer processor, an extent of movement of the tool with respect to the portion of the body that is due to the cyclic motion of the portion of the body is determined. In response thereto, an output is generated that is indicative of the determined extent of the movement of the tool with respect to the portion of the body. Other applications are also described.

Identification and presentation of device-to-vessel relative motion

Apparatus and methods are described for imaging a tool inside a portion of a subject's body that undergoes motion. A plurality of image frames are acquired of the portion of the subject's body. The image frames are image tracked by (a) automatically identifying at least a feature of the tool in at least a portion of the image frames, and (b) aligning the tool in image frames of the portion of the image frames, based on the automatic identifying. The image-tracked image frames of the portion of the subject's body are displayed as an image stream. Other embodiments are also described.

Automatic stabilization of a frames of image stream of a moving organ having intracardiac or intravascular tool in the organ that is displayed in movie format

Apparatus and methods are described for use with a plurality of angiographic image frames of a moving lumen of a subject, including aligning the image frames with each other. Using the aligned image frames, a time it takes a contrast agent to travel a known distance through the lumen is determined. At least partially in response thereto, a characteristic of the lumen is determined, and, in response to the determined characteristic, an output is generated on a display. Other applications are also described.

Apparatus and methods are described for use with an imaging device () configured to acquire a set of angiographic images of a lumen. At least one processor () determines blood velocity within the lumen, via image processing. The processor determines a value of a flow-related parameter at the location based upon the determined blood velocity. The processor additionally receives an indication of a value of a second flow-related parameter of the subject, and determines a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter. Other applications are also described.

Determining a luminal-flow-related index using blood velocity determination

Apparatus and methods are described including, using a computer processor (), automatically identifying whether a given pixel () within an image corresponds to a portion of an object. A set of concentric circles (-) that are disposed around the pixel are sampled, and a first function is applied to each of the circles such that the circles are defined by a first set of rotationally invariant descriptors. A second function is applied to the set of circles to generate a second set of descriptors, each of which represents a difference between respective pairs of the circles. A third function is applied such that the second set of descriptors becomes rotationally invariant. The processor identifies whether the given pixel corresponds to the portion of the object, based upon the first and second sets of rotationally invariant descriptors. Other applications are also described.

Apparatus and methods are described for use with an endoluminal data-acquisition device configured to be moved through a lumen of a subject's body, and a two-dimensional angiographic image of the lumen. A value of a luminal-flow-related index of the subject is determined non-invasively at a plurality of locations along the lumen, at least partially by performing image processing on the angiographic image. While the endoluminal data-acquisition device is being moved through the lumen, a set of endoluminal data points of the lumen at a plurality of locations within the lumen is acquired, using the endoluminal data-acquisition device. It is determined that respective endoluminal data points correspond to respective locations along the lumen, and, in response thereto, it is determined that respective endoluminal data points correspond to respective values of the luminal flow-related index. Other applications are also described.

Coregistration of endoluminal data points with values of a luminal-flow-related index

Apparatus and methods are provided for use with an endoluminal data-acquisition device that acquires a set of endoluminal data-points of a lumen of a subject's body at respective locations inside the lumen, a second endoluminal device, and a display configured to display images. At least one processor includes location-association functionality that associates a given data point acquired by the endoluminal data-acquisition device with a given location within the lumen. Location-determination functionality determines, by means of image processing, in an extraluminal image of the second endoluminal device, a current location of at least a portion of the second endoluminal device. Display-driving functionality drives the display to display an indication of the endoluminal data point associated with the location, in response to determining that the portion of the second device is currently at the location. Other applications are also described.

Automatic display of previously-acquired endoluminal images

Apparatus and methods are described including, while an endoluminal data-acquisition device is being moved through a lumen of a subject, acquiring a plurality of endoluminal data points of the lumen using the endoluminal data-acquisition device. It is determined that, at least one location, no endoluminal data point was acquired. An output is generated using at least a portion of the plurality of endoluminal data points of the lumen acquired using the endoluminal data-acquisition device, the output including an indication that no endoluminal data point was acquired at the location. Other applications are also described.

Accounting for skipped imaging locations during movement of an endoluminal imaging probe

Apparatus and methods are described, including, using an imaging device, acquiring a plurality of images of a portion of a body of a subject. Using a processor, a first feature within each of the images is aligned. At least one enhanced image that is enhanced with respect to the first feature is generated, using the aligned images. Visibility of a second feature is reduced in the enhanced image, and the at least one image that is enhanced with respect to the first feature is displayed upon a display. Other applications are also described.

Automatic reduction of visibility of portions of an image

Apparatus and methods are described including designating within an image of blood vessels of a subject, a target portion of the blood vessels. In response to a first input from a user that designates a single point on the image, a first location within the blood vessels in a vicinity of the designated point is designated. In response to second and third inputs from the user, proximal and distal locations within the target portion are designated. The target portion is designated such that the target portion passes from the proximal location of the target portion to the distal location of the target portion, and such that the target portion includes the first location. Quantitative vessel analysis is performed on the target portion of the blood vessels, and an output is generated based upon the quantitative vessel analysis. Other applications are also described.

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Herzlia, Israel

Eldad Klaiman