A radiographing control apparatus includes a hardware processor. A radiographic imaging apparatus is exposed to a radiation from an irradiating apparatus through the subject. The hardware processor retrieves pre-exposure image data which the radiographic imaging apparatus generates by performing a pre-exposure to the subject at a pre-exposure dose of less than a dose of a subsequent main exposure, and calculates a total dose required to obtain diagnostic image data to be used for diagnosis. The hardware processor outputs a main exposure dose based on the calculated total dose to the irradiating apparatus and the radiographic imaging apparatus. The hardware processor retrieves main exposure image data which the radiographic imaging apparatus generates by performing the main exposure to the subject at the main exposure dose, and combines the main exposure image data with the pre-exposure image data to generate the diagnostic image data.

A radiographing control apparatus includes a hardware processor. A radiographic imaging apparatus is exposed to a radiation from an irradiating apparatus through the subject. The hardware processor retrieves pre-exposure image data which the radiographic imaging apparatus generates by performing a pre-exposure to the subject at a pre-exposure dose of less than a dose of a subsequent main exposure, and calculates a total dose required to obtain diagnostic image data to be used for diagnosis. The hardware processor outputs a main exposure dose based on the calculated total dose to the irradiating apparatus and the radiographic imaging apparatus. The hardware processor retrieves main exposure image data which the radiographic imaging apparatus generates by performing the main exposure to the subject at the main exposure dose, and combines the main exposure image data with the pre-exposure image data to generate the diagnostic image data.

A method includes obtaining a first image of a patient procured during an X-ray, analyzing the first image for one or more unmasked anomalies, shifting the first image to provide a shifted image, obtaining a residual image comprising a combination of the first image and the shifted image, and analyzing the residual image for one or more masked anomalies, where the one or more masked anomalies include anomalies that went undetected in the analysis of the first image for the one or more unmasked anomalies due to a presence of one or more masking features in the first image.

Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.

An x-ray imaging apparatus includes a holdable housing; an x-ray source mounted within the housing and configured to output a fan beam of x-rays; and a hoop chopper wheel rotatably mounted within the housing and comprising an x-ray attenuating material configured to block x-rays of the fan beam. The hoop chopper wheel defines a set of beam apertures of which each aperture is configured to pass therethrough a corresponding angular portion of x-rays from the fan beam, so that rotation of the hoop chopper wheel causes scanning of the corresponding angular portion of x-rays. The x-ray source may be a transmission-type x-ray tube configured to output the fan beam centered in an x-ray extraction direction forming an angle greater than 0 degrees with respect to a longitudinal axis of the x-ray tube.

A method is disclosed for graphically depicting a marker which is applied to an examination object in an imaging system. In an embodiment, the position of the marker is ascertained by way of a first measuring method. An image of the examination object is provided on the basis of a second measuring method, in which image the position of a graphical object that represents the marker in the image is ascertained and depicted on the basis of the first measuring method.

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight. In this work, this need is addressed by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between them; and (2) demonstrating the potential of such an IMS-anatomical atlas link by applying it toward automated anatomical interpretation of ion distributions in tissue.

Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.

A radiographic imaging apparatus includes: a sensor panel that includes a scintillator that emits light by receiving radiation, and a plurality of radiation detection elements that detect the emitted light; a housing that stores the sensor panel; and a first detector that detects infiltration of a liquid into the housing.

An example of a method for time-resolved calculation of a deformation of a body comprises calculating (110) a model of the body during the deformation. The method further comprises calculating (120) a predicted X-ray image for the body for a plurality of time points during the deformation based on the model. The method further comprises obtaining (130) one measured X-ray image of the body each for the time points during the deformation. The method further comprises modifying (140) the model based on the predicted X-ray images and the measured X-ray images.