Patent application number | Description | Published |
20100061611 | CO-REGISTRATION OF CORONARY ARTERY COMPUTED TOMOGRAPHY AND FLUOROSCOPIC SEQUENCE - A method for displaying real-time imagery of coronary arteries including a chronic total occlusion (CTO) includes acquiring three-dimensional image data of coronary arteries using a three-dimensional medical imaging device, wherein the three-dimensional image data includes imagery of the CTO. A radiocontrast agent is administered to a patient. Real-time image data of the coronary arteries are acquired using one or more fluoroscopes. The real-time image data does not include imagery of the CTO and down-stream vessel structure. The three-dimensional image data is co-registered with the real-time image data using an image processing device within a vicinity of the CTO. The co-registered image data are displayed in real-time using a display device to accurately illustrate the location of the CTO within the context of the real-time image data. | 03-11-2010 |
20100272315 | Automatic Measurement of Morphometric and Motion Parameters of the Coronary Tree From A Rotational X-Ray Sequence - Automatic measurement of morphometric and motion parameters of a coronary target includes extracting reference frames from input data of a coronary target at different phases of a cardiac cycle, extracting a three-dimensional centerline model for each phase of the cardiac cycle based on the references frames and projection matrices of the coronary target, tracking a motion of the coronary target through the phases based on the three-dimensional centerline models, and determining a measurement of morphologic and motion parameters of the coronary target based on the motion. | 10-28-2010 |
20100310140 | METHOD OF COMPENSATION OF RESPIRATORY MOTION IN CARDIAC IMAGING | 12-09-2010 |
20110026794 | Deformable 2D-3D Registration of Structure - A method for performing deformable non-rigid registration of 2D and 3D images of a vascular structure for assistance in surgical intervention includes acquiring 3D image data. An abdominal aorta is segmented from the 3D image data using graph-cut based segmentation to produce a segmentation mask. Centerlines are generated from the segmentation mask using a sequential topological thinning process. 3D graphs are generated from the centerlines. 2D image data is acquired. The 2D image data is segmented to produce a distance map. An energy function is defined based on the 3D graphs and the distance map. The energy function is minimized to perform non-rigid registration between the 3D image data and the 2D image data. The registration may be optimized. | 02-03-2011 |
20110052026 | Method and Apparatus for Determining Angulation of C-Arm Image Acquisition System for Aortic Valve Implantation - A method and system for determining an angulation of a C-arm image acquisition system for aortic valve implantation is disclosed. One or more landmarks of the aortic root is detected in a 3D image. A plane representing an aortic annulus direction is defined in the 3D image based on the detected anatomic landmarks. A viewing angle is determined that is perpendicular to the defined plane. | 03-03-2011 |
20110069063 | CATHETER RF ABLATION USING SEGMENTATION-BASED 2D-3D REGISTRATION - A method for registering a two-dimensional image of a cardiocirculatory structure and a three-dimensional image of the cardiocirculatory structure includes acquiring a three-dimensional image including the cardiocirculatory structure using a first imaging modality. The acquired three-dimensional image is projected into two-dimensions to produce a two-dimensional projection image of the cardiocirculatory structure. A structure of interest is segmented either from the three-dimensional image prior to projection or from the projection image subsequent to projection. A two-dimensional image of the cardiocirculatory structure is acquired using a second imaging modality. The structure of interest is segmented from the acquired two-dimensional image. A first distance map is generated based on the two-dimensional projection image and a second distance map is generated based on the acquired two-dimensional image. A registration of the three-dimensional image and the two-dimensional image is performed by minimizing a difference between the first and second distance maps. | 03-24-2011 |
20110164035 | METHOD OF MOTION COMPENSATION FOR TRANS-CATHETER AORTIC VALVE IMPLANTATION | 07-07-2011 |
20110222750 | SYSTEM AND METHOD FOR GUIDING TRANSCATHETER AORTIC VALVE IMPLANTATIONS BASED ON INTERVENTIONAL C-ARM CT IMAGING - A method for guiding transcatheter aortic valve implantations includes receiving an interventional 3D image of an aortic root reconstructed from a sequence of 2D images acquired from a C-arm computed tomography (CT) system being rotated about a patient through a predetermined number of degrees, segmenting the aortic root and detecting aortic root landmarks in the 3D image, where the aortic root landmarks include three lowest points of aortic root cusps, two coronary artery ostia, and three commissures points where the cusps meet, cropping an area inside the segmented aortic root out of the 3D volume for volume rendering, centering the 3D image on an intersection of two orthogonal planes, each containing the two detected coronary ostia, that are orthogonal to a plane spanned by three lowest points of the aortic root cusps, and volume rendering the 3D cropped aortic root image together with the detected landmarks onto a 2D image. | 09-15-2011 |
20120069017 | Method and System for Efficient Extraction of a Silhouette of a 3D Mesh - A method and system for extracting a silhouette of a 3D mesh representing an anatomical structure is disclosed. The 3D mesh is projected to two dimensions. Silhouette candidate edges are generated in the projected mesh by pruning edges and mesh points based on topology analysis of the projected mesh. Each silhouette candidate edge that intersects with another edge in the projected mesh is split into two silhouette candidate edges. The silhouette is extracted using an edge following process on the silhouette candidate edges. | 03-22-2012 |
20120128226 | AUTOMATIC DETECTION OF CONTRAST INJECTION - A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value. | 05-24-2012 |
20120134553 | Spatio-Temporal Analysis for Automatic Contrast Injection Detection on Angiography During Trans-Catheter Aortic Valve Implantation - A method that includes generating a contrast feature curve for a medical image sequence including a plurality of frames, where the contrast feature curve represents contrast feature values of the frames. The method further includes detecting a peak in the contrast feature curve, and determining whether the peak corresponds to at least one of contrast injection in an aortic root, contrast injection in a balloon, and a non-contrast injected region. | 05-31-2012 |
20120150025 | Image Registration Using Interventional Devices - A system receives an image volume of a patient. A catheter applied to the patient contains at least one sensor, which may be a microcoil and which is detectable in the image volume. A size and a shape of a region of interest are pre-defined. A processor determines a location of the at least one sensor in the image volume. The image volume is generated by a medical imaging device. The processor defines the shape and size of the region of interest relative to the location of the at least one sensor to determine the region of interest in the image volume. Image data of the region of interest in the image volume and of the region of interest in a previous image volume are registered. The region of interest is determined during an interventional procedure on the patient. | 06-14-2012 |
20120163686 | SYSTEM AND METHOD FOR 2-D/3-D REGISTRATION BETWEEN 3-D VOLUME AND 2-D ANGIOGRAPHY - A method for registering a 2-D DSA image to a 3-D image volume includes calculating a coarse similarity measure between a 2-D DRR of an aorta and a cardiac DSA image, and a 2-D DRR of a coronary artery and the cardiac DSA image, for a plurality of poses over a range of 2-D translations. Several DRR-pose combinations with largest similarity measures are selected as refinement candidates. The similarity measure is calculated between the refinement candidate DRRs and the DSA, for a plurality of poses over a range of 3-D translations and in-plane rotations. One or more DRR-pose combinations with largest similarity measures are selected as final candidates. The similarity measure between the final candidate DRRs the DSA are calculated for a plurality of poses over a range of 3D translations and 3D rotations, and a DRR-pose combination with a largest similarity measure is selected as a final registration result. | 06-28-2012 |
20120271162 | Constrained Registration for Motion Compensation in Atrial Fibrillation Ablation Procedures - A method for model based motion tracking of a catheter during an ablation procedure includes receiving a training series of biplanar fluoroscopic images of a catheter acquired under conditions that will be present during an ablation procedure, segmenting and processing the series of biplanar images to produce a distance transform image for each biplanar image at each acquisition time, minimizing, for each pair of biplanar images at each acquisition time, a cost function of the distance transform image for each pair of biplanar images to yield a translation parameter that provides a best fit for a model of the catheter to each pair of biplanar images at each acquisition time, and calculating an updated catheter model for each acquisition time from said translation parameter. | 10-25-2012 |
20130057569 | 2D-2D FUSION FOR INTERVENTIONAL GUIDANCE IN TRANS-CATHETER AORTIC VALVE IMPLANTATION - A method for fusing 2D fluoroscopic images with 2D angiographic images for real-time interventional procedure guidance includes using a 2-dimensional angiographic image to detect injection of a contrast agent into an anatomical structure, where the contrast agent first appears in a detected image frame, subtracting a background image from the detected image frame and binarizing the subtracted image frame to segment the anatomical structure from the subtracted image frame, registering the segmented anatomical structure with a predefined shape model of the anatomical structure to generate an anatomical mask, generating an anatomical probability map from the anatomical mask using intensity information from the subtracted image frame, where the anatomical probability map expresses a probability of a pixel in the subtracted image frame belonging to the anatomical structure, and fusing the angiographic image with one or more subsequently acquired 2-dimensional fluoroscopic images of the anatomical structure using the anatomical probability map. | 03-07-2013 |
20130058555 | AUTOMATIC POSE INITIALIZATION FOR ACCURATE 2-D/3-D REGISTRATION APPLIED TO ABDOMINAL AORTIC ANEURYSM ENDOVASCULAR REPAIR - A method for automatically initializing pose for registration of 2D fluoroscopic abdominal aortic images with a 3D model of an abdominal aorta includes detecting a 2D iliac bifurcation and a 2D renal artery bifurcation from a sequence of 2D fluoroscopic abdominal aortic images, detecting a spinal centerline in a 2D fluoroscopic spine image, providing a 3D iliac bifurcation and a 3D renal artery bifurcation from a 3D image volume of the patient's abdomen, and a 3D spinal centerline from the 3D image volume of the patient's abdomen, and determining pose parameters {x, y, z, θ}, where (x, y) denotes the translation on a table plane, z denotes a depth of the table, and θ is a rotation about the z axis, by minimizing a cost function of the 2D and 3D iliac bifurcations, the 2D and 3D renal artery bifurcation, and the 2D and 3D spinal centerlines. | 03-07-2013 |
20130060132 | AUTOMATIC DETECTION OF CONTRAST INJECTION - A method for automatically detecting the presence of a contrast agent in an x-ray image includes acquiring a preliminary x-ray image. A background image is estimated. The contrast agent is administered. A plurality of image frames is acquired. The background image is subtracted from each image frame. An image having a highest image intensity is selected. A predefined shape model is fitted to the selected image using a semi-global optimization strategy. The fitting of the shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value. | 03-07-2013 |
20130190602 | 2D3D REGISTRATION FOR MR-X RAY FUSION UTILIZING ONE ACQUISITION OF MR DATA - Systems and methods for 2D3D registration of apply MR volumes and X-ray images using DRR techniques. A bone classifier is trained from co-registered UTE1, UTE2 and CT prior images. Dual-echo MR UTE1 and UTE2 images are acquired from a patient. The bone structure of the patient is classified and a labeled segmentation is generated. A DRR image is generated from the labeled segmentation and is registered with an X-ray image of the patient. The registration methods are implemented on a processor based system. | 07-25-2013 |
20130279825 | MOTION COMPENSATED OVERLAY - A method for displaying a motion compensated overlay includes receiving a model of a structure of interest, capturing an image depicting a region of interest and an instrument, determining whether the structure of interest is visible in the image, registering the model of the structure of interest to the image upon determining that the structure of interest is visible, and combining the model of the structure of interest with the image according to a registration to determine an overlay image. | 10-24-2013 |
20130331687 | Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures - A method for compensating cardiac and respiratory motion in atrial fibrillation ablation procedures includes (a) simultaneously determining a position of a circumferential mapping (CFM) catheter and a coronary sinus (CS) catheter in two consecutive image frames of a series of first 2-D image frames; (b) determining a distance between a virtual electrode on the CS catheter and a center of the CFM catheter for a first image frame of the two consecutive image frames, and for a second image frame of the two consecutive image frames; and (c) if an absolute difference of the distance for the first image frame and the distance for the second image frame is greater than a predetermined threshold, compensating for motion of the CFM catheter in a second 2-D image. | 12-12-2013 |