General Electric Company

Ge Medical Systems Global Technology Company, LLC

Mukta Chandrashekhar Joshi

Sandeep Dutta

Krishna Seetharam Shriram

Srikanth Suryanarayanan

Yogisha Mallya

Ajay Gopinath

Jiang Hsieh

Gopal Biligeri Avinash

Thomas L Toth

Saad Ahmed Sirohey

Robert F Senzig

James Vradenburg Miller

Paul Edgar Licato

Mark Vincent Profio

Xiaodong Tao

John Skinner

Patricia Le Nezet

Deann Marie Haas

Roy Arnulf Helge Nilsen

John Fusco

Sardar Gautham

Marcela Alejandra Gonzalez

Robert Wolfe

Ferry Tamtoro

John A Fusco

Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.

Methods and systems for optimizing high resolution image reconstruction

A method of imaging comprises performing a scout image of an object and aligning major regions of interest within the object by comparing the scout image with a pre-determined atlas image. In a further embodiment, a method of imaging using a computed tomography (CT) scanner is provided and comprises performing a scout image of a subject and aligning major anatomical regions of interest within the subject by comparing the scout image with a pre-determined atlas image. Further, an imaging system for us with a computed tomography (CT) imaging device is provided and comprises a processor configured to perform aligning major anatomical regions of interest within a subject by comparing a scout image with a pre-determined atlas image, and wherein the major anatomical regions are used for automated localization for Scan Range and/or Exam split.

System and method for automated patient anatomy localization

A method includes performing an automatic partitioning of Neuro-vessels into a plurality of anatomically relevant circulatory systems using a CT system.

Vasculature partitioning methods and apparatus

A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones. Based on their location in one of these zones, the voxels corresponding to the endpoints of the blood vessels are labeled. Starting from these endpoints, the artery segments are tracked back to their starting points using an algorithm that simultaneously labels all of the blood vessel voxels along the path with a corresponding anatomical label identifying the blood vessel to which it belongs.

Vascular image extraction and labeling system and method

A method includes scanning a patient without a BMD reference present to obtain data, and performing a BMD analysis on the obtained data.

Methods and apparatus for BMD measuring

A method includes predicting a contrast bolus arrival time, and performing at least one of the following: a) automatically switching from a monitor phase to a scan phase at the predicted arrival time; and b) prompting a user to began a scan at the predicted arrival time.

Prediction methods and apparatus

A method for reconstructing an image of an object includes generating a plurality of projection data, helically interpolating the projection data, rebinning the helically interpolated projection data from a fan-beam format to a parallel-beam format, and reconstructing an image of the object using the parallel-beam format projection data.

Methods and apparatus for reconstructing an image of an object

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Belmont, MA, United States of America

Mukta Chandrashekhar Joshi