Abstract: Various methods and systems are provided for medical imaging. In one embodiment, a method for an interventional imaging procedure comprises identifying a medical device during insertion of the medical device within a subject based on live images of the insertion, extrapolating a trajectory of the medical device during the insertion in real-time based on the live images of the insertion, and displaying the extrapolated trajectory of the medical device on the live images.

Abstract: Various methods and systems are provided for a medical imaging system. In one embodiment, a method for a projection imaging system includes acquiring a first image of a region of interest (ROI) with the projection imaging system in a first position, determining a three-dimensional (3D) location of an annotation on the first image via a geometric transformation using planes, acquiring a second image of the ROI with the projection imaging system in a second position, determining a location of the annotation on the second image based on the 3D location of the annotation in the first position and a geometry of the second position, and displaying the annotation on the second image in response to an accuracy check being satisfied.

Abstract: In the present invention, an imaging system and method is provided to obtain a fusion image of a patient anatomy used as a navigational 3D roadmap to guide an interventional device into the anatomy. The fusion image fuses in real-time, fluoroscopy images taken during the interventional procedure with pre-operative CTA images, so that the operator can see the anatomy in the fluoroscopy image without having to inject contrast agent. To correct for the deformation in the anatomy from the pre-op CTA images form the insertion of interventional devices during the procedure, a 3D ultrasound image is obtained after the insertion of the devices. The 3D ultrasound images are then utilized to correct the pre-op CTA images and provide the current vascular anatomy of the patient. This updated CTA image is fused with the intra-op fluoro images to provide an accurate 3D roadmap image that matches the deformed anatomy.

Abstract: In the present invention, an imaging system and method is provided to obtain a fusion image of a patient anatomy used as a navigational 3D roadmap to guide an interventional device into the anatomy. The fusion image fuses in real-time, fluoroscopy images taken during the interventional procedure with pre-operative CTA images, so that the operator can see the anatomy in the fluoroscopy image without having to inject contrast agent. To correct for the deformation in the anatomy from the pre-op CTA images form the insertion of interventional devices during the procedure, a 3D ultrasound image is obtained after the insertion of the devices. The 3D ultrasound images are then utilized to correct the pre-op CTA images and provide the current vascular anatomy of the patient. This updated CTA image is fused with the intra-op fluoro images to provide an accurate 3D roadmap image that matches the deformed anatomy.

Abstract: Systems and methods of object reconstruction from x-ray imaging include receiving an input of a first angulation for a first x-ray image. A first score representative of a quality of a reconstruction of an object from an x-ray image acquired at the first angulation is calculated. The first x-ray image is acquired at the first angulation. An input of a second angulation for a second x-ray image is received. A second score representative of the quality of the reconstruction of the object from the first x-ray image and an x-ray image acquired at the second angulation is calculated. The second x-ray image is acquired at the second angulation. The object is reconstructed from the first x-ray image and the second x-ray image.

Abstract: Systems and methods of object reconstruction from x-ray imaging include receiving an input of a first angulation for a first x-ray image. A first score representative of a quality of a reconstruction of an object from an x-ray image acquired at the first angulation is calculated. The first x-ray image is acquired at the first angulation. An input of a second angulation for a second x-ray image is received. A second score representative of the quality of the reconstruction of the object from the first x-ray image and an x-ray image acquired at the second angulation is calculated. The second x-ray image is acquired at the second angulation. The object is reconstructed from the first x-ray image and the second x-ray image.

Abstract: A method for segmenting an object of interest from an image of a patient having such object. Each one of a plurality of training shapes is distorted to overlay a reference shape with a parameter ?i being a measure of the amount of distortion required to effect the overlay. A vector of the parameters ?i is obtained for every one of the training shapes through the minimization of a cost function along with an estimate of uncertainty for every one of the obtained vectors of parameters ?i, such uncertainty being quantified as a covariance matrix ?i. A statistical model represented as {circumflex over (ƒ)}H (?,?) is generated with the sum of kernels having a mean ?i and covariance ?i . The desired object of interest in the image of the patient is identified by positioning of the reference shape on the image and distorting the reference shape to overlay the obtained image with a parameter ? being a measure of the amount of distortion required to effect the overlay.

Abstract: Certain exemplary embodiments comprise a method, which can comprise automatically determining a probability that an entity belongs to a representation set. The representation set can be associated with a set of vectors of parameters and associated covariance matrices. Each covariance matrix can be associated with uncertainties of values comprised in the vector of parameters.

Abstract: A method for segmenting a portion of a clip is provided. A first active-shape model of the portion is creating in a first state. A second active-shape model of the portion is created in a second state. A combined model for segmenting the portion is generated. The combined model is a linear combination of the first active-shape model and the second active-shape model. An apparatus for segmenting a portion of a clip is further provided. The apparatus includes a modeling means, a first linear combination means, a transformation means, a second linear combination means, and a segmentation means.