A medical image processing apparatus and a medical image processing method are provided which are capable of clearly presenting a distal end of a medical device in a tomosynthesis image of an object under examination into which the medical device is inserted. The medical image processing apparatus handles a tomosynthesis image generated using a plurality of projection images obtained by imaging an object under examination in an angle range of less than 180 degrees, and includes: a storage section for pre-storing blur data at individual imaging space coordinates; and a correction section for correcting the tomosynthesis image using the blur data.

The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

Devices, systems, and methods for stent detection and apposition are disclosed. Embodiments obtain a plurality of images of intravascular image data of a vessel wall and an endovascular device, generate a signal that represents the plurality of images, identify one or more images that correspond to the endovascular device based on the signal that represents the plurality of images, generate a representation of a three-dimensional (3D) shape of the endovascular device based on the one or more images, determine an apposition value of the endovascular device relative to the vessel wall using a representation of a 3D shape of a lumen segment that corresponds to the endovascular device, the apposition value based on a volume difference between the 3D shape of the lumen segment and the 3D shape of the endovascular device, and present information indicating the apposition value.

Ultrasound imaging system, devices, and methods for minimizing grating lobe artefacts in an ultrasound image are provided. For example, an ultrasound imaging system can include an array of acoustic elements and a processor in communication with the array. The processor controls the array to activate a plurality of apertures and subapertures in a scan sequence, generate an image comprising a plurality of pixels, identify at least one subaperture of the plurality of subapertures corresponding to a reduced signal value for one or more pixels of the image, and generate a grating-lobe-minimized image based on the identified subapertures. The grating-lobe-minimized image can be output to a display or combined with the original ultrasound image to include image features lost or reduced in the grating-lobe-minimized image. The grating-lobe-minimized image advantageously reduces image artefacts and clutter to simplify ultrasound image analysis and diagnosis procedures.

Methods, apparatus, and systems are provided for facilitating the navigation of a catheter between first and second locations within a subject based on display of serial images corresponding to positions of the catheter at successive incremental times. Image production includes sensing catheter positions to produce location data for each time increment. For each position P.sub.i, the corresponding location data is processed to respectively produce an image I.sub.i reflecting the position of the catheter at a time T.sub.i. Each image I.sub.i is successively displayed at a time equal to T.sub.i+d, where d is an image processing visualization delay. Upon a condition that the catheter is displaced to a selected interim location between the first and second locations, the processing of the location data is switched from being performed by a first process associated with a first visualization delay to a second process associated with a second different visualization delay.

An operation system and an operation method that may improve operability are provided. The operation system includes a circuitry configured to determine a predicted value of an operator motion after a predetermined prediction latency from a current time based on a bio-signal using a prescribed machine learning model, the bio-signal captured from the operator and a controller configured to control a motion of a robot based on the predicted value. The operation method includes a step of determining a predicted value of an operator motion after a predetermined latency from the current time based on a bio-signal using a prescribed machine learning model, the bio-signal captured from the operator, and a step of controlling a motion of a robot on the predicted value.

An image processing apparatus that processes a radiation image generates a decomposition image representing a planar distribution related to a material, using a plurality of radiation images of an object containing a target object that correspond to different radiation energies, and obtains a target object image related to the target object using a band limitation image corresponding to a frequency band related to a size of the target object, the band limitation image being obtained by performing frequency decomposition on the decomposition image.

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving ultrasound images that include a blood vessel, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the blood vessel in the ultrasound images. The diameters include a respective diameter of the blood vessel for each ultrasound image of the ultrasound images. The method includes determining a blood vessel diameter based on the diameters of the blood vessel, selecting a color based on the blood vessel diameter, and indicating, in one of the ultrasound images, the blood vessel with an indicator having the color.

A method for automatically analysing 2D medical image data, including an additional object comprises acquiring the 2D medical image data from an examination portion of a patient using a first modality; acquiring additional image data from the examination portion using a different modality; and performing an automatic image analysis based on the acquired 2D medical image data and the acquired additional image data, the image analysis being adapted to the additional object.

Medical imaging methods for processing a three-dimensional (3D) image data set with two-dimensional X-ray images from an X-ray machine using a target function. Methods can include providing a 3D image data set of at least one examination zone in which anatomical structures are present, segmenting the image data set to provide a 3D vascular structure model and a 3D bone structure model, recording a first two-dimensional (2D) X-ray image containing at least a portion of the vascular structure and at least a portion of the bone structure, recording a second 2D X-ray image of the examination zone at a different contrast agent concentration, and subtracting the first and second 2D X-ray images to generate a subtraction image. An optimum projective geometry may then be determined using a three-part target function based on the 3D image data and the 2D X-ray images.