The disclosure is directed at a method and apparatus for a flat panel X-ray imaging detector. In one embodiment, the apparatus includes three (3) layers including a top layer, an intermediate layer and a bottom layer. The top layer generates a top layer image; the intermediate layer generates an intermediate layer image; and the bottom layer generates a bottom layer image. The intermediate layer also operates simultaneously as an intermediate X-ray energy filter.

A digital breast tomosynthesis system includes an object fixing unit including first and second fixing plates, a first vibration plate moved in linkage with the first fixing plate and a second vibration plate moved in linkage with the second fixing plate, and configured to fix the object between the first and second vibration plates, an X-ray generator configured to project X-ray toward the object; an X-ray detector configured to detect the X-ray, a vibration generating device configured to vibrate the first and second vibration plates at a set frequency, and a vibration control device configured to control the vibration generating device by generating a vibration signal corresponding to the set frequency, wherein the X-ray generator projects the X-ray at specific time intervals on the basis of the set frequency.

A method and apparatus is provided to perform dead-time correction in a positron emission tomography (PET) by estimating a full singles spectrum using a scatter model. The scatter model can use a Monte Carlo method, a radiation transfer equation method, an artificial neural network, or an analytical expression. The scatter model simulates scatter based on an emission image/map and an attenuation image/map to estimate Compton scattering. In the full singles spectrum, the singles counts with energies less than 511 keV are determined from the simulated scatter. The attenuation image can be generated based on X-ray computed tomography or based on applying a joint-estimation to PET data.

An X-ray CT system and a method of processing medical images are provided that enable combining of images with reduced effect of the differences in coordinates of the pixels in the overlapped areas of a plurality of constituent images. The X-ray CT system includes a processor and a synthesizer. Based on coordinates of first pixels in a first image of a first three-dimensional region of the subject and coordinates of second pixels in a second image of a second three-dimensional region of the subject, the processor combines the first pixels with the second pixels on a one-for-one basis within a predetermined range in the rostrocaudal direction. The synthesizer generates third pixels relative to the first pixels and the second pixels and generates a third image that includes the third pixels.

The image processing device generates an operation image by adding or subtracting an original image and a standard deviation image which maps the standard deviation for the pixels configuring the original image. In this operation image, images of the structures seen in parts in the original image other than metal pieces are erased. Consequently, structures that are not metal pieces appearing in the original image in a whitish color, for example, do not appear in the operation image. If such an operation image is subjected to binarization processing in which the metal pieces appearing in a whitish color, for example, are extracted, since accurate graph cut processing is then possible, images originating from structures that are not metal pieces do not appear in the resulting image.

Disclosed herein is a framework for facilitating image processing. In accordance with one aspect, the framework receives first image data acquired by a first modality and one or more articulated models. The one or more articulated models may include at least one section image acquired by the first modality and aligned with a local image acquired by a second modality. The framework may align an anatomical region of the first image data with the section image and non-rigidly register a first region of interest extracted from the section image with a second region of interest extracted from the aligned anatomical region. To generate a segmentation mask of the anatomical region, the registered first region of interest may be inversely mapped to a subject space of the first image data.

An extra-oral dental imaging system comprises an X-ray source (102) and an imaging device (101) suitable for producing multiple frames during at least part of an exposure of an object (200), the imaging device (101) being displaced along a scanning direction (X). A method for creating a cephalometric image of a human skull comprises a step of setting said imaging device (101) with an active area having in an imaging plane a width extending along said scanning direction (X), said width varying along a height direction perpendicular to said scanning direction (X); a step of synchronously displacing the X-ray source (102) and the imaging device (101) along said exposure profile; and a step of registering multiple frames produced by the imaging device (101) during the exposure of said object (200) to be imaged. Using for creating a cephalometric image by digital tomosynthesis.

The present invention relates to an image analysis method for providing information for supporting illness development prediction regarding a neoplasm in a human or animal body. The method includes receiving for the neoplasm first and second image data at a first and second moment in time, and deriving for a plurality of image features a first and a second image feature parameter value from the first and second image data. These feature parameter values being a quantitative representation of a respective image feature. Further, calculating an image feature difference value by calculating a difference between the first and second image feature parameter value, and based on a prediction model deriving a predictive value associated with the neoplasm for supporting treatment thereof. The prediction model includes a plurality of multiplier values associated with image features. For calculating the predictive value the method includes multiplying each image feature difference value with its associated multiplier value and combining the multiplied image feature difference values.

The present invention provides a radiotherapy apparatus (100) to generate both photon and electron beam mounted with dual KV beam ray source used for stereotactic imaging and CBCT (Cone Beam Computed Tomography) image with a greater FOV (Field Of View). The apparatus (IOO) comprises of a ring gantry (101), which includes at least two KV sources (102a and 102b), at least two movable detector (103 and 104) and a LINAC X-ray tube (106). The two movable detectors (103, 104) include a first movable detector (104) and a second movable detector (103). The second movable detector (103) has mechanism capture a half fan mode of X-ray beam of imaging radiation with a greater FOV having 250×450 mm. The half fan mode of X ray is captured by moving the second movable detector (103) or first movable detector (104) further towards the ISO centre (105) of the ring gantry (101).

A first imaging unit obtains a first radiation image, which is imaged under first imaging conditions. A second imaging unit obtains a plurality of projection images by tomosynthesis imaging under second imaging conditions. A reconstructing unit reconstructs a plurality of projection images to generate a plurality of tomographic images of cross sectional planes of a subject. An image synthesizing unit generates a second radiation image employing the plurality of tomographic images. A subtraction processing unit administers a subtraction process on the first and second radiation images, to generate a subtraction image.