Provided is a simulation phantom including a simulated target volume and a simulated normal tissue encasing the simulated target volume, wherein the simulated target volume and a portion of the simulated normal tissue abutting the simulated target volume have a first characteristic to enable the simulation phantom to be imaged on a first imaging device, and the simulated target volume and the portion of the simulated normal tissue abutting the simulated target volume further have a second characteristic to enable the simulation phantom to be imaged on a second imaging device different from the first imaging device.

An improved x-ray cone-beam CT image reconstruction by end-to-end training of a multi-layered neural network is proposed, which employs cone-beam CT images of many patients as input training data, and precalculated scattering projection images of the same patients as output training data. After the training is completed, scattering projection images for a new patient are estimated by inputting a cone-beam CT image of the new patient into the trained multi-layered neural network. Subsequently, scatter-free projection images for the new patient are obtained by subtracting the estimated scattering projection images from measured projection images, beam angle by beam angle. A scatter-free cone-beam CT image is reconstructed from the scatter-free projection images.

A phantom, phantom system, and method of phantom identification include a first material that forms a phantom. A phantom identifier includes at least one unit marker. The at least one unit marker identifies a physical characteristic of the phantom. In a method of phantom identification, an image of the phantom is obtained that includes the phantom identifier. The at least one unit marker is identified, the at least one unit marker encodes a value representative of a physical characteristic of the phantom.

One or more example embodiments relates to a system for calibration and/or for quality control of an FFS X-ray system, a corresponding FFS X-ray system, a control facility suitable for it and to a method for calibration and/or for quality control of the FFS X-ray system.

A method is for computed tomography imaging. In an embodiment, the method includes provisioning a CT data set of an object, the CT data set being previously recorded via a multispectral recording method; suppressing a contrast, caused by a tissue type, and generating a contrast-suppressed data set from the CT data set provisioned; and analyzing at least the contrast-suppressed data set generated or a data set generated via a machine learning algorithm based on the contrast-suppressed data set, the analyzing being configured to identify at least one change in the tissue type. A corresponding device, a control device for a computed tomography system or a diagnosis system, and a diagnosis system and a computed tomography system are also disclosed.

A calibration phantom for radiometric characterization and/or radiotherapy dose calculation of a subject is provided, which includes an ellipsoid base having a primary volume defining a plurality of cylindrical voids, each of said cylindrical voids configured to receive a cylindrical insert having a diameter, wherein the ellipsoid base, the primary volume, and each of said inserts are formed from a tissue substitution material independently selected to approximate a radiological property of an anatomical feature of the subject to which the ellipsoid base, the primary volume, and each of said inserts corresponds, wherein the radiological property of the tissue substitution material, the diameter of each of said inserts, and a location of each of said inserts within the ellipsoid base are selected to mimic beam hardening upon exposure of the calibration phantom to a radiation beam. Optionally, one or more peripheral rings are disposed concentrically about the ellipsoid base. Methods of mitigating off-target radiation exposure improving certainty of a radiotherapeutic dose delivered to a human subject using the calibration phantom are also provided.

A dynamic imaging quality control device performs quality control of dynamic imaging in which a dynamic state of a subject is imaged by irradiating the subject with radiation. The device includes a hardware processor that: determines a target frame image as a target of quality control from among multiple frame images constituting a dynamic image obtained by the dynamic imaging; generates quality information regarding quality of the dynamic imaging by using the determined target frame image; and outputs the quality information

A dynamic imaging quality control device performs quality control of dynamic imaging in which a dynamic state of a subject is imaged by irradiating the subject with radiation. The device includes a hardware processor that generates quality information regarding a quality of the dynamic imaging by using at least two frame images among multiple frame images constituting a dynamic image obtained by the dynamic imaging and outputs the quality information.

A computed tomography (CT) image processing apparatus and a CT image processing method are provided. The CT image processing apparatus may generate a virtual monochromatic image (VMI) by applying a weight to each of first, second, and third images corresponding to three different energy ranges. The CT image processing apparatus may set a region of interest (ROI) on a CT image, determine a VMI at an energy level at which a CNR of the ROI is at a maximum among a plurality of VMIs, and display the determined VMI.

A detector sub-assembly for a CT system includes a detector module that includes a mount block having a top planar surface, a Y-axis planar surface that is parallel with the top planar surface, an X-axis planar surface that is orthogonal to the first Y-axis planar surface, and an aperture passing through the X-axis planar surface. The module includes a substrate having a pixelated photodiode positioned thereon, and a two-dimensional anti-scatter grid (ASG) positioned on the pixelated photodiode. The detector sub-assembly includes a support structure including a Y-axis mount surface and an X-axis mount surface, and a second aperture passing through the X-axis mount surface, a mounting screw having an outer diameter that is smaller than an inner diameter of the aperture and passing through the aperture and into the second aperture when the Y-axis planar surface is on the Y-axis mount surface.