A radiation image display apparatus that constitutes a radiation imaging system includes a displayer and a hardware processor that acquires image data of a dynamic image constituted of a plurality of frame images, image data of an analysis dynamic image obtained by applying predetermined image processing to the image data of the dynamic image and image data of a related dynamic image which is related to the dynamic image or the analysis dynamic image respectively, and causes the displayer to display the related dynamic image together with the dynamic image and the analysis dynamic image.

An X-ray diagnosis apparatus according to an embodiment includes an imaging system and a processing circuitry. The imaging system is configured to perform an imaging process on an examined subject by emitting X-rays onto the examined subject. The processing circuitry is configured to execute the imaging process on the examined subject by controlling the imaging system in an imaging mode selected from between an X-ray fluoroscopy imaging mode for obtaining an X-ray projection fluoroscopic image of the examined subject and a Computed Tomography (CT) imaging mode for obtaining a CT image of the examined subject and is configured to perform a super resolution process corresponding to the imaging mode.

A radiographic imaging system includes a radiographic detector having a scanning device to obtain patient identifying information. The detector is programmed to display the patient identifying information in human readable form and to access additional information about the patient stored in networked databases.

To provide a technique with which dose indices can be managed for body parts in a range to be imaged on a body part-by-body part basis, an X-ray CT apparatus comprises: image producing unit (51) for producing a scout image (10) of a patient; defining unit (52) for defining a range (11) to be imaged in the scout image (10); segmenting unit (53) for segmenting the range (11) to be imaged into two body parts; identifying unit (54) for identifying which one of body parts (12) included in a human body each of the two body parts corresponds to; and calculating unit (55) for calculating a dose index for each of the two body parts.

Systems and methods are provided to plan a spinal correction surgery. The method includes measuring parameters of a spine in a two-dimensional (2D) spinal image including a thoracic Cobb angle and a thoracic kyphosis (TK) and transforming the 2D image to a three-dimensional (3D), spinal image representation. The transforming includes performing segmentation of spine elements in the 2D image, and applying a formula based on the thoracic Cobb angle and the TK to the spine elements. The method includes identifying a TK goal having a post-operative TK value to selected spine elements, transforming a gap of the spine elements representative of a difference between the pre-operative TK in 3D spinal image representation and the TK goal to create a 3D post-operative spinal image representation, and determining a first rod design based on the 3D post-operative spinal image representation to achieve the post-operative TK value in the spine elements.

A radiography control apparatus includes a storage; a communicator that obtains irradiation information from an irradiation apparatus; and a hardware processor that: upon determining that the communicator obtains the irradiation information before a specific timing, executes image processing based on the irradiation information obtained from the communicator; and upon determining that the communicator does not obtain the irradiation information before the specific timing, executes the image processing based on information stored in advance in the storage.

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 ultrasonic diagnosis system includes a reaction force detection sensor that detects a reaction force acting on an ultrasonic probe when the ultrasonic probe is pressed against a body surface of a subject. Then, the ultrasonic diagnosis system estimates the push-in amount of the ultrasonic probe with respect to the subject by using the reaction force detection sensor during the ultrasonic diagnosis to output a display or a warning of the estimated push-in amount of the ultrasonic probe to the output device.

A radiation imaging system includes a hardware processor. The hardware processor calculates an exposure index representative value of a radiation image based on the radiation image including a plurality of frame images. The hardware processor is capable of setting a target value of an exposure index differently for each imaging mode.

An information processing system comprises: an information processor capable of transmitting and receiving data; and an estimation unit that estimates dental notations of teeth in each of visible light images and X-ray images of oral cavities input through the information processor and estimates image shooting direction of each of the visible light images and the X-ray images. The information processor adds the dental notations and the image sensing direction to each of the visible light images and the X-ray images as metadata, and manages the visible light images and the X-ray images by associating the visible light images and the X-ray images using the metadata.