Koninklijke Philips Corporation N.V.

Daniela Muenzel

Roland Proksa

Thomas Koehler

Heiner Daerr

Peter Benjamin Theodor Noel

Peter Noel

Maximilian Von Teuffenbach

Franz Josef Pfeiffer

Konstantin Willer

Alexander André Fingerle

Julia Herzen

A method of a virtual X-ray colonoscopy includes scanning () a dark-field contrast () insufflated colon lumen () with an X-ray scanner () configured for dark-field-contrast, which generates dark-field-contrasted projection data and attenuation projection data. The dark-field-contrasted projection data and the attenuation projection data are reconstructed () into one or more dark-field-contrasted images ().

Dark-field enhanced virtual x-ray colonoscopy

The present invention relates to an apparatus for generating X-rays. It is described to produce () with a power supply () a voltage. A cathode () of an X-ray source () is positioned () relative to an anode () of the X-ray source. Electrons are emitted () from the cathode. Electrons emitted from the cathode interact () with the anode with energies corresponding to the voltage. X-rays are generated () from the anode, wherein the electrons interact with the anode to generate the X-rays. The X-ray source is controlled (), such that a plurality of first X-ray pulses is generated each having a first X-ray flux, wherein the first X-ray pulses are temporally separated from each other. The X-ray source is controlled (), such that a least one second X-ray pulse is generated having a second X-ray flux that is substantially less than the first X-ray flux, wherein the at least one second X-ray pulse is generated temporally between consecutive pulses of the first X-ray pulses.

Apparatus for generating X-rays

The invention relates to a method of Computed Tomography imaging comprising: a. Performing a single acquisition of image data from at least two contrast agents into a blood vessel network, a first contrast agent among said at least two contrast agents having been in said blood vessel network for a longer time than a second contrast agent among said at least two contrast agents, b. Processing said image data using K-Edge detection and/or iodine delineation to separate data associated with each contrast agents in order to obtain a concentration map of each contrast agent, c. Determining from said image data a first part of the blood vessel network comprising both the first contrast agent and the second contrast agent, and a second part of the blood vessel network comprising only the first contrast agent, d. Calculating a partial blood volume map of the first part of the blood vessel network based on the total amount of second contrast agent and on the concentration map of the second contrast agent, e. Calculating a partial blood volume map of the second part of the blood vessel network based on the total amount of first contrast agent, on the concentration map of the first contrast agent and on the partial blood volume map of the first part of the blood vessel network.

Method of computed tomography imaging

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Munich, Germany

Daniela Muenzel