An apparatus includes: an input configured to receive a plurality of images, wherein the images include respective sub-images of a bodily part of a subject, and wherein a position of the bodily part relates to a breathing movement and a cardiac movement of the subject; a first registration engine configured to determine a first registration of at least two breathing correlated images, wherein the at least two breathing correlated images comprise two of the plurality of images or are derived from at least some of the plurality of images; a second registration engine configured to determine a second registration of at least two cardiac correlated images; and a volumetric image generator configured to generate a volumetric image using the first registration and the second registration.

A medical data processing method of determining a transformation for determining a breathing state-dependent geometry of an anatomical body part of a patient's body, the method comprising: a) acquiring planning image data describing a set of tomographic medical planning images describing each a different part of the anatomical body part in the same respiratory state called reference planning respiratory state, wherein the anatomical body part is subject to respiratory movement and wherein the planning images comprise a planning image called reference planning image describing a part of the anatomical body part which is called reference planning body part; b) acquiring breathing image data describing a set of tomographic medical breathing images of the anatomical body part, wherein the breathing images comprise a reference breathing image describing the reference planning body part in a respiratory state called reference breathing respiratory state, which is different from the reference planning respiratory state, and a target breathing image describing at least another part of the anatomical body part, wherein the other part of the anatomical body part is called target body part, in a respiratory state called target respiratory state which is different from the reference planning respiratory state; c) determining, based on the planning image data and the breathing image data, reference transformation data describing a transformation, called reference transformation, between the geometry of the reference planning body part in the reference planning respiratory state and the geometry of the reference planning body part in the reference breathing respiratory state; d) acquiring scaling factor data describing a scaling factor which describes a relationship between the geometry of the reference planning body part in the reference breathing respiratory state and the geometry of the target body part in the target respiratory state; e) determining, based on the reference transformation and the scaling factor data, derived transformation data describing a transformation called derived transformation between the geometry of the target body part in the reference planning respiratory state, and the geometry of the target body part in the reference breathing respiratory state.

A measurement device including a hardware processor that: extracts a frame image at a time of deep inspiration from a plurality of frame images of a dynamic image obtained by performing radiation imaging of a dynamic state of a chest of a subject; and performs cardiothoracic ratio measurement to the extracted frame image at the time of deep inspiration.

A method includes modulating a flux of emission radiation between a first lower flux level and a second higher flux level in coordination with a cardiac cycle signal so that the flux is at the first lower flux level during a first cardiac motion phase having a first higher cardiac motion and is at the second higher flux level during a second cardiac motion phase having a second lower cardiac motion. The method further includes reconstructing the projection data with a first reconstruction window, which applies a first higher weight to a first sub-set of the projection data that corresponds to the first cardiac motion phase and the lower first flux level and a second lower weight to a second sub-set of the projection data that corresponds to the second cardiac motion phase and the higher second flux level, to generate first volumetric image data.

A method of displaying electrophysiology information includes obtaining a three-dimensional medical image of an anatomical region, registering a localization system to the model; localizing an electrophysiology catheter within the anatomical region; displaying a representation of the localization of the electrophysiology catheter on the model; and displaying image slices of the model. The image slices are selected based upon the localization of the electrophysiology catheter. For example, the image slices can pass through a user-selected localization element carried by the electrophysiology catheter. Rigid and/or non-rigid transforms can be used to register the localization system to the model. Electrophysiology data collected by the catheter can be displayed on the model and/or the image slices thereof. The three-dimensional medical image and/or the electrophysiology data can also be time-varying. In embodiments, scalar maps can also be displayed on the model.

A medical image processing apparatus, includes: a reconstructed moving image obtainer that obtains a reconstructed moving image; a focus region identifier that identifies a first focus region corresponding to the designated focus; a fluoroscopic moving image obtainer that obtains at least one-period data on a fluoroscopic moving image; a second characteristics identifier that identifies each of two or more second characteristics regions corresponding to the internal body portion; a comparison selector that compares the two or more first characteristic regions; a conversion parameter calculation unit that calculates a conversion parameter for converting the first characteristic region.

Disclosed are an image processing apparatus, an image processing method and a recording medium thereof, the image processing apparatus including: a storage configured to store standard information about at least one anatomical entity; and at least one processor configured to detect regions corresponding to a plurality of anatomical entities based on a medical image obtained by scanning an object including the plurality of anatomical entities, to estimate a volume of a first anatomical entity at a predetermined point in time based on object information measured from the detected regions of the anatomical entity and the standard information stored in the storage, and to provide information about condition of the first anatomical entity based on the estimated volume. Thus, it is possible to make a diagnosis more simply and accurately by determining condition information of an anatomical entity at a point in time for the diagnosis based on a randomly taken medical image.

A set of first modality data (e.g., MR or CT) is provided. The set of first modality data comprises a plurality of mu-maps, a plurality of motion vectors and a plurality of gated data. Each of the mu-maps corresponds to one of the beds. A set of second modality data (e.g., PET/SPECT) is provided. The set of second modality data comprises a plurality of frames for each of the beds. Each of the plurality of frames is warped by one or more motion vectors of the plurality of motion vectors. A single-bed image is generated for each bed by summing the frames corresponding to the bed. A whole body image is generated by summing the single-bed images for each of the beds.

A method for cardiovascular-dynamics correlated imaging includes receiving a time series of images of at least a portion of a patient, receiving a time series of cardiovascular data for the patient, evaluating correlation between the time series of images and the time series of cardiovascular data, and determining a property of the at least a portion of a patient, based upon the correlation. A system for cardiovascular-dynamics correlated imaging includes a processing device having: a processor, a memory communicatively coupled therewith, and a correlation module including machine-readable instructions stored in the memory that, when executed by the processor, perform the function of correlating a time series of images of at least a portion of a patient with a time series of cardiovascular data of the patient to determine a property of the at least a portion of a patient.

Apparatus and methods are described for use with a tool that is inserted into a portion of a body of a subject that undergoes cyclic motion. The apparatus and methods include using an imaging device, acquiring a plurality of images of the tool inside the portion of the body, at respective phases of the cyclic motion. Using at least one computer processor, an extent of movement of the tool with respect to the portion of the body that is due to the cyclic motion of the portion of the body is determined. In response thereto, an output is generated that is indicative of the determined extent of the movement of the tool with respect to the portion of the body. Other applications are also described.