A method for adapting a medical system to an object movement during medical examination of the object and a medical system configured for carrying out the method. The medical system has a device for detecting and quantifying a motion of the object before or during an acquisition of diagnostic data. The system for detecting and quantifying a motion of the object is able to directly identify and qualify the occurrence of object motion and to automatically suggest an adaptation of the diagnostic data acquisition strategy/technique as a function of the object motion.

According to an embodiment, there is provided that processing circuitry configured to determine a first radiation timing at which a subject is irradiated with an X-ray, based on information on motion of an object in X-ray image data, the information on motion being calculated by the X-ray image data, the X-ray image data being associated with an electrocardiographic waveform of the subject, and repeatedly irradiate the subject with an X-ray at the first radiation timing per cycle of the electrocardiographic waveform of the subject.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains X-ray images that are sequentially collected during a partial period of time in a cardiac phase of a subject who has a device inserted into the body. Then, the processing circuitry identifies a characteristic region of the device captured in a plurality of obtained X-ray images, and performs registration in which the position of the characteristic region identified in a reference image, which is one of the plurality of X-ray images, serves as the reference position, and in which the position of the characteristic region identified in the plurality of X-ray images collected after the reference image is adjusted based on the reference position.

A system for tracking tumors during radiotherapy by interleaving treatment pulses with imaging pulses is disclosed. The system includes a multisource scanning eBeam X-ray tube having a plurality of focal spots. The X-ray tube is configured to emit X-rays to a plurality of different locations on a target by sequentially emitting the X-rays to the focal spots in the plurality of focal spots. This is done such that the X-rays can be emitted to the plurality of different locations on the target without substantially moving the X-ray tube or the target. The system further includes an imager panel configured to act as the target and configured to receive the X-rays from the focal spots of the X-ray tube. The system further includes a tomosynthesis reconstruction module configured to process output from the imager panel to construct an image.

In an X-ray diagnostic apparatus of one embodiment, an image data generator sequentially generates X-ray images based on X-rays transmitted through a subject. An image processor executes: first processing where, in response to an instruction to start correction processing, a position of a target contained in a predetermined X-ray image is obtained as a reference position; and second processing where corrected images in which positions of the target are set at the reference position are sequentially generated from newly generated X-ray images. An image data storage unit stores therein information on a reference position with respect to each set of conditions of manipulation on the subject. Upon receiving the instruction to start correction processing, the image processor executes the second processing by using information on the reference position stored in the image data storage unit, in accordance with a set of the conditions of manipulation on the subject.

The present invention provides new methods for inflammation and infection imaging and related medical applications thereof. In some embodiments, the present invention provides a method for the diagnosis of inflammation and/or infection. In some embodiments, the present invention provides a method for the treatment or prevention of inflammation and/or infection. In some embodiments, the present invention provides methods for monitoring the effect of inflammation and/or infection treatment, and/or methods for monitoring an inflammation and/or infection treatment regimen. In some embodiments, the present invention provides a method for selecting subjects for an inflammation and/or infection treatment. In some embodiments, the present invention provides a method for determining the dosage of a drug for the treatment of inflammation and/or infection.

An X-ray irradiating apparatus according to an embodiment is an X-ray irradiating apparatus that can transmit a maintenance electric current for suppressing the motion of a diaphragm in a subject, and includes an electric current outputting unit, electrode units, an electric current output controlling unit and an operating unit. The electric current outputting unit outputs the maintenance electric current for maintaining the contraction of the muscle. The electrode units, which are disposed on a skin surface of the subject, transmit the maintenance electric current. The electric current output controlling unit controls the electric current outputting unit to switch between a state in which the maintenance electric current is output to the electrode units and a state in which the maintenance electric current is not output to the electrode units. The operating unit performs the operation of the electric current output controlling unit.

A method is for medical imaging of a patient using a medical imaging system with ECG triggering. In an embodiment, the method includes capturing a respiration signal of the patient including n respiration cycles; concurrently capturing an ECG signal of the patient including m heartbeat intervals; determining a respiration-dependent heartbeat model based upon the n respiration cycles and the m heartbeat intervals; specifying at least one trigger time-point based upon the respiration-dependent heartbeat model; and starting the medical imaging at the specified trigger time-point.

A dynamic CT imaging method is provided. With the method, projection measurement data for a region of an examination object to be imaged is captured, with simultaneous correlated capture of the respiratory movement of the examination object. A phase of the respiratory movement, for which image data is to be reconstructed, is selected. Phase projection measurement data assigned to the selected phase is also determined. Transition regions of partial images of the region to be imaged between successive respiratory cycles are then reconstructed on a trial basis based on a part of the phase projection measurement data, and a standard reconstruction is performed using parts of the phase projection measurement data for each of the successive respiratory cycles assigned to an optimum reconstruction.

Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities. In general, the trained model is generated based on medical images of ex vivo samples, in vitro samples, in vivo samples or combinations thereof, and is based on histological features extracted from those samples. A machine learning algorithm, or other suitable learning algorithm, is used to generate the trained model. The trained model is not patient-specific and thus, once generated, can be applied to any number of different individual subjects.