Koninklijke Philips Corporation N.V.

Philips Gmbh

Philips Deutschland Gmbh

Peter Prinsen

Jens Wiegert

Cristian Lorenz

Bernd Menser

Heike Ruppertshofen

Roland Proksa

Dirk Schaefer

Guillaume Leopold Theodorus Frederik Hautvast

Willem Potze

Heidrun Steinhauser

Aditya Mehendale

Jacek Lukasz Kustra

Petrus Carolus Maria Frissen

Robbert Christiaan Van Ommering

Shiyu Xu

Ravindra Mohan Manjeshwar

Michael John Murdoch

Methods and systems for identifying anatomical phrases in medical text. Methods and systems described herein use a syntactic approach to generate lists of relevant terms and define a grammar on these terms. Methods and systems described then search for phrases in text that conform to the grammar.

Identifying anatomical phrases

An imaging system includes a computed tomography (CT) imaging device () (optionally a spectral CT), an electronic processor (), and a non-transitory storage medium () storing a neural network () trained on simulated imaging data () generated by Monte Carlo simulation () including simulation of at least one scattering mechanism () to convert CT imaging data to a scatter estimate in projection space or to convert an uncorrected reconstructed CT image to a scatter estimate in image space. The storage medium further stores instructions readable and executable by the electronic processor to reconstruct CT imaging data () acquired by the CT imaging device to generate a scatter-corrected reconstructed CT image (). This includes generating a scatter estimate () by applying the neural network to the acquired CT imaging data or to an uncorrected CT image () reconstructed from the acquired CT imaging data.

Deep learning based scatter correction

An image processing system (IPS) and related method. The system (IPS) comprises an input interface (IN) for receiving an image (IM) of an object (OB) acquired by an imaging apparatus (IA). A kernel provider (KP) of the system (IPS) is configured to provide respective scatter kernels for at least two scatter types. A scatter correction module (SCM) of the system (IPS) is configured to perform a correction in the image based on the provided at least two kernels.

Scatter correction for X-ray imaging

A device () configured to detect the presence of metal artifacts in a patient's eye includes a head mount () configured to receive at least a portion of the patient's head. At least one inductor coil () is disposed on or in the head mount and positioned to inductively couple with at least one eye of the patient's head received into the head mount. An inductance meter () is operably connected to the at least one inductor coil to measure an inductance as a change of frequency of the at least one inductor coil. A processor () is programmed to: determine whether the inductance is greater than an inductance threshold value; and generate an indication of at least one metal artifact when the inductance is greater than the inductance threshold value. A display component () is configured to display the indication.

Detection of metal artifacts in patients eyes prior to MRI examinations

Method for estimating radiation dose received by a tissue of interest during an imaging scan comprising: i, obtaining image data of a body region including the tissue of interest, ii. sub-dividing the image data into axial slices, comprising tissue axial slices and non-tissue axial slices, iii. determining a net amount of radiation dose emitted or received by each axial slice by combining scan parameters of each axial slice with pre-calculated amounts of radiation dose, iiii summing the net amounts of radiation dose of all the tissue axial slices to obtain a tissue dose.

Method for estimating the radiation dose received by an organ during a computed tomography scan

A method for extending initial image data of a subject for dose estimation includes obtaining first image data of the subject for dose calculation, wherein the first image data has a first field of view. The method further includes obtaining second image data for extending the field of view of the first image data. The second image data has a second field of view that is larger than the first field of view. The method further includes extending the first field of view based on the second image data, producing extended image data.

Image data Z-axis coverage extension for tissue dose estimation

System for live 3D x-ray viewing comprising an x-ray source, an x-ray detector, a processing unit, a monitor and means for detecting viewer's eyes, wherein the x-ray source and the x-ray detector are arranged at a movable C-arm. The x-ray source comprises two focal spots, wherein a separation of the two focal spots is adjustable so that the image acquisition angle between the two focal spots matches the viewing angle between the two eyes.

Live 3D X-ray viewing

The invention relates to an apparatus () for calculating an x-ray dose distribution within an object for a computed tomography examination. A primary flux determination unit () determines firstly a primary flux distribution within the object, wherein then this determined primary flux distribution is used as an initial total flux distribution by a total flux determination unit () while applying a six-flux model algorithm. This allows the determination of the total flux distribution to start with a relatively good first approximation of the total flux distribution such that the six-flux model algorithm can determine the total flux distribution very fast. The determined total flux distribution is finally used by a dose distribution determination unit () for determining a total dose distribution. The apparatus allows therefore for a very fast determination of x-ray dose distributions for computed tomography examinations.

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Eindhoven, Netherlands

Peter Prinsen