Abstract:
There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.
Abstract:
A method of medical image registration with respect to a volume of interest (VOI) and an apparatus for performing the method are provided. In one embodiment, the method includes obtaining a first medical image of a selected section of the VOI, from a first medical apparatus, detecting a sectional image corresponding to the selected section from second medical images previously captured of the VOI, based on an anatomical feature appearing in the first medical image, mapping virtual coordinate schemes of the first and second medical images to produce a mapped virtual coordinate scheme, based on the detected sectional image and the first medical image, and tracking a movement of a section of the VOI captured by the first medical apparatus in the second medical images by using a mapped virtual coordinate scheme.
Abstract:
There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.
Abstract:
An apparatus and a method are provided to generate an ultrasound to be transmitted from an ultrasound irradiation device. The apparatus and the method include acquiring a medical image including anatomical information about a subject, and calculating characteristics of a tissue in the subject, which may affect propagation of the ultrasound based on the medical image. The apparatus and method also determine a parameter of the ultrasound to create a focal point on the subject using the calculated characteristics, and generate the ultrasound according to the determined parameter.
Abstract:
Disclosed are a method and apparatus for registering images having different modalities. The medical image registration method includes performing, at an initial register, multi-modality registration of a reference image from a plurality of first images captured during a first breathing period and a second image; performing, at the initial register, single-modality registration of the reference image and each of the other first images; generating registration images between the plurality of first images and the second image based on the multi-modality registration and the single-modality registration; acquiring a third image captured after the first breathing period; and detecting an image corresponding to the third image from the registration images.
Abstract:
An ultrasonic probe and a medical system adopting the same. The ultrasonic probe includes at least one support plate having a first state of being folded and a second state of being unfolded. The ultrasonic probe also includes a plurality of ultrasonic transducers arranged on the at least one support plate.
Abstract:
A method of medical image registration includes obtaining a first medical image generated before a medical surgery; obtaining a second medical image generated in real time during the medical surgery; extracting landmark points of at least two adjacent anatomical objects recognizable in the second medical image among a plurality of anatomical objects near an organ of interest of a patient from the first medical image and the second medical image; and registering the first medical image and the second medical image based on a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the first medical image and a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the second medical image.
Abstract:
An image processing apparatus includes an input device configured to receive a computerized tomography image of a first respiration phase of an object; a data selector configured to select magnetic resonance image data similar to the object from among magnetic resonance image data; and an image generator configured to generate a computerized tomography image of a second respiration phase of the object based on the selected magnetic resonance image data.
Abstract:
A medical image display apparatus for displaying a medical image generated from first medical image data obtained from an object by a probe, including at least one processor configured to obtain information about a position at which tissue from the object is extracted by a needle, based on a signal received from a sensor attached to at least one from among the probe and the needle, and locate a tissue extraction position in the first medical image data based on the information, and a display configured to display a first medical image on which the tissue extraction position is marked, the first medical image being generated from the first medical image data.
Abstract:
There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.