A radiographing control apparatus emits radiation to an object and obtains a plurality of frame images to control dynamic radiographing that radiographs dynamics of the object. The radiographing control apparatus includes a hardware processor. The hardware processor obtains first order information that includes at least one of information on presence or absence of dynamic analysis executed for a dynamic image obtained by the dynamic radiographing, and information on a dynamic analysis item, determines a first radiographing condition and a target image quality, based on the obtained first order information, and determines a second radiographing condition for achieving the determined target image quality.

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 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.

The disclosure provides a system for EGRT. The system may include a radiotherapy device for treating a subject. The radiotherapy device may include a scintillation camera that is directed at an ROI of the subject. The subject may be injected with a radioactive tracer or implanted with a radioactive marker before treatment. The ROI may undergo a physiological motion during the treatment. The system may deliver a treatment session to the subject by the radiotherapy device. During the treatment session, the system may acquire a target image of the ROI indicative of a distribution of the radioactive tracer or the radioactive maker in the ROI by the scintillation camera, and adapt a radiation beam to be delivered to the subject with respect to the physiological motion of the ROI by adjusting the radiation beam based on the target image.

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.

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.

Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, the systems and methods described herein offer improved interactive adjustment of intensity windowing for display of nuclear medicine images. The interactive intensity window selection tools described herein utilize a nonlinear scaling function that maps user adjustments to positions of displayed indicator widgets on a scale to intensity window thresholds. The form of the scaling function increasingly magnifies user adjustments at the upper range of the scale, but remains linear at the lower end. The intensity windowing tools presented herein allow the user to adjust intensity thresholds over a full range of intensities encountered in an image, up to the maximum value, while still preserving fidelity in an important range that includes lower intensities.

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.

The disclosure provides a system for EGRT. The system may include a radiotherapy device for treating a subject. The radiotherapy device may include a scintillation camera that is directed at an ROI of the subject. The subject may be injected with a radioactive tracer or implanted with a radioactive marker before treatment. The ROI may undergo a physiological motion during the treatment. The system may deliver a treatment session to the subject by the radiotherapy device. During the treatment session, the system may acquire a target image of the ROI indicative of a distribution of the radioactive tracer or the radioactive maker in the ROI by the scintillation camera, and adapt a radiation beam to be delivered to the subject with respect to the physiological motion of the ROI by adjusting the radiation beam based on the target image.

The disclosure provides a system for EGRT. The system may include a radiotherapy device for treating a subject. The radiotherapy device may include a scintillation camera that is directed at an ROI of the subject. The subject may be injected with a radioactive tracer or implanted with a radioactive marker before treatment. The ROI may undergo a physiological motion during the treatment. The system may deliver a treatment session to the subject by the radiotherapy device. During the treatment session, the system may acquire a target image of the ROI indicative of a distribution of the radioactive tracer or the radioactive maker in the ROI by the scintillation camera, and adapt a radiation beam to be delivered to the subject with respect to the physiological motion of the ROI by adjusting the radiation beam based on the target image.