A diagnosis support apparatus which supports diagnosis based on information associated with a diagnosis name in advance is provided. In the diagnosis support apparatus, an acquisition unit acquires the diagnosis name set by a user. A providing unit provides negative information for the diagnosis name set by the user based on the information. With the above arrangement, the diagnosis support apparatus selects and presents information influencing the diagnosis name expected by the user, thereby efficiently presenting information required by the user.

Special displays of medical images are generated that help a radiologist better detect nodules by exploiting the inherent human visualization abilities of detection of symmetry, asymmetry, motion and relative motion. A Region of Interest (ROI) on an x-ray (mammogram, CT-scan, MRI, or other medical image) is selected and the data within the ROI is copied such that a new display now has two or more copies of the information within the ROI. This copy may contain the same relative positions as the original image, or may be a mirror image of the original data. The ROI is moved over the medical image in search of nodules. This movement can be random, under the direct control of the radiologist, systematically moved by a computer algorithm, or some combination of the above.

According to one embodiment, a medical image processing apparatus includes an image storage memory, a calculation circuitry, a level decision circuitry, and an output interface circuitry. The image storage memory stores data of a plurality of images in different respiratory phases. The calculation circuitry calculates a motion amount of a region between the plurality of images for each pixel or area. The level decision circuitry decides a level concerning a severity of chronic obstructive pulmonary disease for each pixel or area. The output interface circuitry outputs information concerning the decided level.

This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.

Devices, methods, and systems are provided for analyzing lung imaging data. A server computing device receives imaging data of a lung over a network from a client computing device and analyzes the imaging data to identify lung, airways, and blood vessels, segment the lung into lobes, subtract airways, calculate volumes, calculate emphysema scores, identify fissure locations, calculate fissure completeness scores. A reconstruction of the fissures indicating locations where the fissures are incomplete and a report comprising fissure scores, volumes, and emphysema scores are created.

A system and method for analyzing scan data of a lung and presenting a lung candidacy report. The lung candidacy report includes determinations represented visually of whether lung lobes are suitable candidates for a bronchoscopy guided lung volume reduction procedure. The lung candidacy report includes emphysema values and fissure integrity determined from the scan data.

A method for exposure control setup for a volume radiographic imaging apparatus obtains a reconstructed image volume of a subject acquired from the imaging apparatus using a set of x-ray technique settings. An image slice from the reconstructed image volume displays in at least a first rendering having a first corresponding noise factor and a second rendering having a second corresponding noise factor, different from the first noise factor. An operator instruction selects one of the at least first and second renderings and stores the corresponding noise factor for the set of x-ray technique settings. An automatic exposure control of the imaging apparatus is configured according to the stored noise factor.

A radiographic image photographing system includes: a radiation generating device configured to emit radiation; a radiographic image photographing device including a plurality of radiation detecting elements arranged in a two-dimensional pattern and configured to read signal values from the radiation detecting elements; a dose detecting unit arranged between the radiation generating device and the subject and configured to detect a dose of radiation emitted to the subject; and a control unit configured to control the radiation generating device such that the dose of the radiation emitted to the subject becomes a target dose, wherein the control unit sets a tube current or a mAs value of the radiation generating device such that the dose of the radiation becomes the target dose, and corrects and sets the tube current or the mAs value in a case where a difference occurs between the dose of the radiation detected and the target dose.

A signal processing method is disclosed, which includes detecting a total intensity of X-rays passing through an object comprising multiple materials; obtaining at least one set of basis information of basis material information of the multiple materials and basis component information of photon-electric absorption basis component and Compton scattering basis component of the object; estimating a scatter intensity component of the detected X-rays based on the at least one set of basis information and the detected total intensity; and obtaining an intensity estimate of primary X-rays incident on a detector based on the detected total intensity and the estimated scatter intensity component. An imaging system adopting the above signal processing method is also disclosed.

An apparatus for cone beam computed tomography can include a support structure, a scanner assembly coupled to the support structure for controlled movement in at least x, y and z orientations, the scanner assembly can include a DR detector configured to move along at least a portion of a detector path that extends at least partially around a scan volume with a distance D1 that is sufficiently long to allow the scan volume to be positioned within the detector path; a radiation source configured to move along at least a portion of a source path outside the detector path, the source path having a distance D2 greater than the distance D1, the distance D2 being sufficiently long to allow adequate radiation exposure of the scan volume for an image capture by the detector; and a first gap in the detector path.