General Electric Company

Tata Consultancy Services Limited

Ajay Narayanan

Arunchandar Vasan

Venkatesh Sarangan

Bipul Das

Vignesh Thirukazhukundram Subrahmaniam

Prasant Kumar Misra

Pratik Shah

Uday Damodar Patil

Ankush Ojha

Naga Venkata Kartheek Medathati

Harshit Sureka

Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.

Generation of monochromatic images

A method includes receiving a Computed Tomography (CT) image comprising a head of a subject from a CT scanner and detecting a first and a second petrous bone of the head in the CT image. The method further includes determining a nasion of the head in the CT image based on the first and the second petrous bone. The method also includes generating a reference plane of the head based on the nasion and the first and the second petrous bone.

System and method for generating a reference plane of a head

A method includes receiving a monochromatic image comprising a head of a subject from a Computed Tomography (CT) scanner and detecting a petrous bone of the head in the monochromatic image. The method further includes determining a linear attenuation coefficient of at least one petrous voxel representing the petrous bone and calculating a mass attenuation coefficient of the petrous voxel based on the linear attenuation coefficient and a density of the petrous bone. The method also includes computing a monochromatic energy level of the monochromatic image based on the mass attenuation coefficient of the petrous voxel and recalibrating the monochromatic image corresponding to the computed monochromatic energy level to the desired monochromatic energy level.

System and method for recalibrating a monochromatic image

The disclosed embodiments relate to determining an amount of a contrast agent in an image. For example, a computer-implemented method of image processing includes generating, from a first polychromatic contrast-enhanced X-ray image obtained at a first energy and a second polychromatic contrast-enhanced X-ray image obtained at a second energy, a simulated first monochromatic contrast-enhanced X-ray image and a simulated second monochromatic contrast-enhanced X-ray image. The simulated first monochromatic contrast-enhanced X-ray image includes first regions of enhanced contrast and the simulated second monochromatic contrast-enhanced includes second regions of enhanced contrast. The method also includes isolating the first and second regions of enhanced contrast from other regions of the image, and determining an amount of the contrast agent within the first and second regions of enhanced contrast based at least on a derived partial signal attributable to the contrast agent.

System and method for contrast agent estimation in X-ray imaging

A method, system and apparatus for filtering multi-energy images using spectral filtering technique is described. In one embodiment, the method includes obtaining a first image of an anatomical object corresponding to a first radiation energy. In addition, the method includes obtaining at least one additional image, herein called a second image of the anatomical object corresponding to at least one second radiation energy. The at least one second radiation energy is distinct from the first radiation energy. The method also includes determining joint attenuation characteristics of each tissue at the first radiation energy and at the second radiation energy or their derivatives. The method also includes selectively filtering attenuation value in a multi-energy space due to at least one tissue to generate a filtered image from a reference image. The reference image is one of the first image or the second image or their derivatives.

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Bengaluru, India

Ajay Narayanan