The present application relates to a data processing method for determining the position of a soft tissue body part within a patient's body. The data processing method includes acquiring CT-image data including information about the position of the body part within a coordinate system assigned to a transportable CT-device, wherein the patient's body is positioned relative to the treatment device, and wherein the CT-device is configured to be positioned relative to the patient's body and/or relative to the treatment device, acquiring first transformation data including information about a first transformation between the coordinate system assigned to the CT-device and a coordinate system assigned to the treatment device, and determining, based on the CT-image data and the first transformation data, position data including information about the position of the body part within the coordinate system assigned to the treatment device.

Provided is a radiation phase-contrast imaging device capable of assuredly detecting a self-image and precisely imaging the internal structure of an object. According to the configuration of the present invention, the longitudinal direction of a detection surface of a flat panel detector is inclined with respect to the extending direction of an absorber in a phase grating. This causes variations in the position (phase) of a projected stripe pattern of a self-image at different positions on the detection surface. This is therefore expected to produce the same effects as those obtainable when a plurality of self-images are obtained by performing imaging a plurality of times in such a manner that the position of the projected self-images on the detection surface varies. This alone, however, results in a single self-image phase for a specific region of the object. Therefore, according to the present invention, it is configured such that imaging is performed while changing the relative position of the imaging system and the object.

Apparatus and methods are described including, using a computer processor, automatically identifying whether a given pixel within an image corresponds to a portion of an object. A set of concentric circles that are disposed around the pixel are sampled, and a first function is applied to each of the circles such that the circles are defined by a first set of rotationally invariant descriptors. A second function is applied to the set of circles to generate a second set of descriptors, each of which represents a difference between respective pairs of the circles. A third function is applied such that the second set of descriptors becomes rotationally invariant. The processor identifies whether the given pixel corresponds to the portion of the object, based upon the first and second sets of rotationally invariant descriptors. Other applications are also described.

The method may include obtaining a first set of imaging data affording a sagittal view relating to a subject and a first couch supporting the subject. The first couch may have a plurality of first positions reflected in the first set of imaging data as a first conformation. The method may also include determining a displacement field associated with a first set of imaging data with respect to the reference conformation based on the first conformation and a reference conformation. The method may further include adjusting the first set of imaging data with respect to the reference conformation based on the displacement field. In some embodiments, the method may include obtaining an image of the subject with respect to the reference conformation based on the adjusted first set of imaging data.

Validation of a therapeutic radiation treatment involves using an applicator balloon surrounding an X-ray radiation source to support a plurality of X-ray sensor elements (XRSE). The XRSE are supported on the applicator balloon at distributed locations to sense applied radiation from the radiation source. At least one parameter of the applied radiation which has been sensed by the XRSE is compared to a corresponding parameter of a predetermined radiation treatment plan. Based on the comparing, a determination is made as to whether one or more requirements of the predetermined radiation treatment plan have been satisfied.

The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.

This document describes methods and systems for training a machine learning model to segment digital breast images into key regions of interest, and also for using the model on a new digital breast image to assess whether the breast image exhibits adequate image quality, report the image quality, and/or to use these data to reconstruct or process the new breast image.

There is provided an image processing apparatus for reconstructing a tomographic image of a subject based on a plurality of projection images obtained by detecting radiation emitted from a plurality of different positions. The image processing apparatus reconstructs a first tomographic image from the plurality of projection images, extracts a fixed pattern occurring in the first tomographic image due to a radiation detector, and forms a second tomographic image by updating the first tomographic image using a value concerning intensity of the fixed pattern as a regularization term. The image processing apparatus outputs, as the tomographic image of the subject, the second tomographic image obtained by the update.

A radiographic imaging apparatus includes an imaging apparatus and a hardware processor. The imaging apparatus obtains moire fringe images for generating a reconstruction image of a subject by using a Talbot-Lau interferometer comprising a radiation source, a multiple slit, a first grating, a second grating and a radiation detector. The hardware processor performs a control to satisfy relations (i) φ≧(½)×(R.sub.S/R.sub.1)×d.sub.1>φ×0.7, (ii) 1≦φ≦10 (μm), and (iii) 0.5≦(R.sub.s/R.sub.1)≦1. φ is a particle size of a microbubble contrast agent to be used in imaging. d.sub.1 is a slit period of the first grating. R.sub.1 is a distance between the multiple slit and the first grating. R.sub.s is a distance between the multiple slit and the subject.

An apparatus for beta-emission two-dimensional imaging including: a beta ray detector configured to receive, from an imaging target containing a first nuclide and a second nuclide, a beta ray based on the first or second nuclide and thereby detect the beta ray, the beta ray detector outputting a beta ray detection signal including location information indicating a detection location of the beta ray on a two-dimensional basis; a gamma ray detector configured to detect a gamma ray, the gamma ray detector detecting the first and second peculiar gamma rays in a discriminable manner; and an imaging processor configured to be capable of generating a distribution image of the first nuclide and a distribution image of the second nuclide in a discriminable manner.