A medical image viewing device for navigation in X-ray imaging includes a processor. The processor is configured to perform a 3D-2D registration of a preoperative three-dimensional volume based on geometry parameters of an image data provider, which provides fluoroscopy images of an object of interest and a plurality of structures with interfering motions to be removed, for creating digitally reconstructed radiograph images of these structures for each fluoroscopy image. These are subtracted from the respective fluoroscopy images to generate structure-suppressed fluoroscopy images free from interfering motions. Based on these structure-suppressed fluoroscopy images, an angiographic image sequence is generated performing a motion estimation of the structures.

To that end, in order to overcome some of the deficiencies presented herein above, an exemplary system, method and computer-accessible medium for determining an attribute(s) of a brain of a patient, can include, for example, receiving information obtained from a computed tomography (CT) scan(s) of a portion(s) of the brain, generating a CT image(s) that can be based on the information, and determining the attribute(s) of the brain based on the CT image(s) by segmenting an intracranial space (ICS) in the CT image(s). The attribute(s) can include a presence or absence of Alzheimer's disease, total volume of the ICS, brain, CSF or a lesion or the volumes of ICS, brain, CSF or lesion(s) expressed as a percentage of other volume(s). The aforementioned areas can be segmented using a combination of thresholding, morphological erosions, morphological dilations, manual segmentation or semi-automatic segmentation techniques, all of which can be parallel procedures. These attributes can be further used to determine treatment, for example, optimizing the location of the twist drill craniotomy to drain hematoma in subdural hematoma.

A biomarker of lung condition can conventionally be obtained using a spirometer. A spirometer provides an estimate of the volume of air expelled by the lungs. This is a rather indirect biomarker of the staging of a lung condition, because a reduction in lung volume may only manifest itself at a point where symptoms are well advanced. A lung condition such as Chronic Obstructive Pulmonary Disorder (COPD) is typically not visible on conventional X-ray attenuation images, because the relevant tissue (alveoli-bearing microstructured lung tissue) contains a lot of air. The X-ray dark-field can successfully indicate microstructure, such as lung alveoli. Therefore, imaging the lungs using the dark-field can provide information on the status of COPD.

A method for radiographic imaging of a body cavity includes imaging the body cavity using computerized tomography (CT) to form a CT image, registering a tracking system with the CT image, inserting into the body cavity a guidewire, including a position sensor, operating in the tracking system, attached to a distal end of the guidewire, in response to signals from the position sensor acquired by the tracking system, displaying a position of the distal end of the guidewire on the CT image. The method further includes assigning voxels within a predefined imaging volume relative to the distal end and having a radiodensity less than a predetermined threshold to have a uniform radiodensity of a predefined default value, incorporating the voxels with the assigned predefined default value into the CT image so as to form an updated CT image, and displaying the updated CT image.

A radiographic image capturing system includes the following. A capturing stand includes a holder to hold radiographic image capturing devices. A radiation irradiator irradiates the radiographic image capturing devices loaded in the holder at once. An image processor generates a plurality of images based on image data acquired by the radiographic image capturing devices. The image processor removes a streaky component residing in the generated image to correct the image. Such process includes forming a smoothed image by smoothing with a low-pass filter, and subtracting an interpolation image to extract a streaky image from the smoothing image and adding the streaky image to remove the streaky component. The smoothing includes reflecting smoothing on pixels showing a subject structure using a low-pass filter with a size larger in the horizontal direction compared to pixels other than pixels showing the subject structure.

The X-ray imaging apparatus is provided with an X-ray source, a plurality of gratings including a first grating and a second grating, a detector, a rotation mechanism for relatively rotating a subject including a fiber bundle and an imaging system, and an image processor for generating a dark field image. The image processor is configured to obtain a three-dimensional dark field image of the subject including at least the fiber bundle from a plurality of dark field images captured at a plurality of rotation angles.

Disclosed is a method for management of geometric misalignment in an x-ray imaging system having an x-ray source, a photon-counting x-ray detector and an intermediate collimator structure in the x-ray path between the x-ray source and the x-ray detector. The x-ray detector includes a plurality of pixels, and the collimator structure includes a plurality of collimator cells, wherein each of at least a subset of the collimator cells corresponds to a NM matrix of pixels, where at least one of N and M is greater than one. The method includes monitoring, for a designated subset of pixels including at least two pixels that are affected differently by shadowing from the collimator structure due to geometric misalignment, output signals from the pixels of the designated subset, and determining the occurrence of geometric misalignment based on the monitored output signals from the pixels of the designated subset of pixels.

A mammography apparatus performs ultrasound imaging while moving an ultrasound transceiver having an ultrasound imaging region smaller than a radiography region from a scanning start position to a scanning end position for scanning. During the scanning, in plural states in which the ultrasound transceiver is disposed at different positions of the radiography region, the radiation source emits radiation to perform radiography. A control device acquires plural captured radiographic images. Then, a removed radiographic image, in which an image of the ultrasound transceiver disposed at different positions in the plural radiographic images has been removed, is generated.

A control device of a mammography apparatus includes an acquisition unit that acquires a radiographic image as radiography information in a case in which the radiographic image of the breast is captured and a generation condition setting unit that sets generation conditions in a case in which an ultrasound image of the breast is generated, on the basis of the radiographic image acquired by the acquisition unit. The generation condition setting unit analyzes the radiographic image to detect the amount of mammary glands in the breast and sets, as the generation conditions, an amplification factor of an ultrasound image signal and a dynamic range which is a width of a grayscale value of the ultrasound image assigned to a value of the ultrasound image signal, according to the detected amount of mammary glands.

A method and apparatus for deep learning based automatic bone removal in medical images, such as computed tomography angiography (CTA) volumes, is disclosed. Bone structures are segmented in a 3D medical image of a patient by classifying voxels of the 3D medical image as bone or non-bone voxels using a deep neural network trained for bone segmentation. A 3D visualization of non-bone structures in the 3D medical image is generated by removing voxels classified as bone voxels from a 3D visualization of the 3D medical image.