A medical image registration method and apparatus are provided. The medical image registration apparatus generates a two-dimensional rigid image obtained by two-dimensionally projecting rigid tissue segmented from a three-dimensional medical image, generates a two-dimensional soft image obtained by two-dimensionally projecting soft tissue segmented from the three-dimensional medical image, registers a two-dimensional medical image with the two-dimensional rigid image, and registers the two-dimensional medical image with the two-dimensional soft image.

A method for automated analysis of data obtained from biologic, or non-biologic, material is provided. The method includes extracting, in a visualization of the material, first shapes that combine to form a target shape. The method also includes registering the first shape of the target shape to second shapes of a generic shape, and identifying variations between the first shapes and the second shapes. A system for analyzing biologic material is provided that includes an extraction engine a registration engine an identification engine a display an atlas adapted to provide the generic shape and a database for storing the visualization of the target shape. A non-transitory computer-readable medium storing a program for analyzing biologic material is provided. The program includes instructions that, when executed by a processor, causes a processor to execute the method.

An image processing apparatus processes a kinetic image obtained by kymography of irradiating a subject with radiation to photograph a moving state of the subject. The image processing apparatus includes an acquisition unit, a generator, and an output controller. The acquisition unit acquires a plurality of frame images constituting the kinetic image. The generator generates a first image which is a synthesized still image obtained by synthesizing at least two or more frame images among the plurality of frame images. The output controller that outputs the first image to an output unit. Before generating the first image, the output controller outputs a second image which is a still image based on at least one or more frame images among the plurality of frame images and has an image quality lower than an image quality of the first image.

A radio therapy system includes a first x-ray source. The first x-ray source is configured to produce first x-ray photons in a first energy range suitable for imaging and project the first x-ray photons onto an area designated for imaging. The system includes a second x-ray source configured to produce second x-ray photons in a second energy range higher energy than the first energy range, produce third x-ray photons in a third energy range higher energy than the first energy range, project the second x-ray photons onto the area designated for imaging, and project the third x-ray photons onto an area designated for treatment. The system includes an analytical portion configured to collect and combine data to create a composite output including at least one image, the combining based in part on a spectral analysis.

A system and method for generating a parametric map of a subject's brain includes receiving non-contrast computed tomography (NCCT) imaging data and receiving computed tomography perfusion (CTP) data. The method further includes creating a baseline image by utilizing the NCCT data and generating a parametric map using the CTP data and the baseline image.

A method is for providing a medical image of a patient, acquired via a computed tomography apparatus. An embodiment of the method includes acquiring first projection data of a first measurement region; acquiring second projection data of a second measurement region; registering a reference image to the at least one respiration-correlated image of the patient, wherein the reference image corresponds to the at least one functional image of the patient or is reconstructed under a second reconstruction rule from the second projection data, to produce a deformation model; applying the deformation model to the at least one functional image of the patient; combining the at least one functional image of the patient, deformed by the applying of the deformation model, with the at least one respiration-correlated image of the patient, to produce the medical image of the patient; and providing the medical image of the patient.

Disclosed herein are systems and methods for adjusting appearance of objects in medical images.

Uptake of hypoxia-sensitive PET tracers is dependent on tissue transport properties, specifically, distribution volume. Variability in tissue transport properties reduces the sensitivity of static PET imaging to hypoxia. When tissue transport (v.sub.d) effects are substantial, correlations between the two methods of determining hypoxic fractions are greatly reduced—that is, trapping rates k.sub.3 are only modestly correlated with tumour-to-blood ratio (TBR). In other words, the usefulness of dynamic- and static-PET based hypoxia surrogates, trapping rate k.sub.3 and TBR, in determining hypoxic fractions is reduced in regions where diffusive equilibrium is achieved slowly. A process is provided for quantifying hypoxic fractions using a novel biomarker for hypoxia, hypoxia-sensitive tracer binding rate k.sub.b, based on PET imaging data. The same formalism can be applied to model the kinetics of non-binding CT and MT contrast agents, giving histopathological information about the imaged tissue.

A computer-implemented method is for providing a difference image data record. In an embodiment, the method includes a determination of a first real image data record of an examination volume in respect of a first X-ray energy, and a determination of a multi-energetic real image data record of the examination volume in respect of a first X-ray energy and a second X-ray energy, the second X-ray energy differing from the first X-ray energy. The method further includes the determination of the difference image data record of the examination volume by applying a trained function to input data, wherein the input data is based upon the first real image data record and the multi-energetic real image data record, as well as the provision of the difference image data record.

The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.