Abstract:
A method and apparatus for performing registration of medical images includes mapping a virtual coordinate system used by a first medical apparatus and a virtual coordinate system used by a second medical apparatus to one another. The coordinate systems are associated with a real-time medical image captured by the first medical apparatus and a three-dimensional (3D) medical image previously captured by the second medical apparatus, respectively. The method further includes detecting a position of a probe of the first medical apparatus from a coordinate system used by the second medical apparatus, based on a result of the mapping, determining a volume image corresponding to the detected position of the probe from the previously captured 3D medical image, and extracting from the determined volume image a cross-sectional image corresponding to the real-time medical image, where the real-time medical image changes according to a patient's physical movement.
Abstract:
A method, an apparatus, a computer readable recording medium, and a medical imaging system are provided for segmenting an image of an object from an image of an organ. The method includes: generating a reference model of the object by using a priori knowledge related to the object of the organ; determining whether the first image includes a first area in which a shape of the object is unidentified; and in response to determining that the first image excludes the first area, segmenting a second image of the object from the first image, and in response to determining that the first image includes the first area, estimating a progression direction of the first area from the reference model to segment the second image from the first image.
Abstract:
Provided is a method and apparatus for tracking a tumor position, which changes by the movement of a body. According to various aspects, a location of a tumor position of a target organ may be estimated using images of one or more surrounding organs.
Abstract:
A method of tracking motion of an organ, includes receiving organ shape data that includes a shape of an organ of an examinee at a moment of motion of the examinee, and loading first to Nth interpolation curves that represent spatiotemporal motion of respective organs of other examinees, the organs of the other examinees being the same type as the organ of the examinee. The method further includes estimating an interpolation curve that represents a spatiotemporal motion of the organ of the examinee based on the first to Nth interpolation curves and the organ shape data.
Abstract:
A method and apparatus are provided to determine a focus of high-intensity focused ultrasound (HIFU). The method and apparatus include designating an initial location of an observation point on a three-dimensional (3-D) organ model. The method and apparatus also include determining a first location to which the observation point has moved as a result of a change in a form of the 3-D organ model, and transmitting the ultrasound to the observation point. The method and apparatus further determine a displacement of the observation point through a time taken to receive a reflected wave from the observation point, determine a second location of the observation point using the obtained displacement, and process the first and second locations to determine a final location to which the observation point has moved. The method and apparatus include determining the focus of the HIFU based on the determined final location of the observation point.
Abstract:
A method and apparatus of tracking a change in a region of interest in an subject according to respiration are provided. For example, an apparatus embodiment may include a model selector configured to select a model from among models of a region of interest of an subject generated to indicate a change in a region of interest during a respiration cycle of the subject, a respiration signal obtainer configured to obtaining a respiration signal of the region of interest by using ultrasound images including the region of interest obtained during the respiration cycle of the subject, and an information obtainer configured to obtain information regarding the region of interest at a time when the ultrasound images are obtained, from the selected model, by using the obtained respiration signal.
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:
A method and apparatus for tracking an object, and a method and apparatus for calculating object pose information are provided. The method of tracking the object obtains object feature point candidates by using a difference between pixel values of neighboring frames. A template matching process is performed in a predetermined region having the object feature point candidates as the center. Accordingly, it is possible to reduce a processing time needed for the template matching process. The method of tracking the object is robust in terms of sudden changes in lighting and partial occlusion. In addition, it is possible to track the object in real time. In addition, since the pose of the object, the pattern of the object, and the occlusion of the object are determined, detailed information on action patterns of the object can be obtained in real time.
Abstract:
A photographing method, medium, and apparatus based on face detection in a portable camera. The portable photographing apparatus may include an image input unit that receives an image, a face detection unit that detects a face from the received image, a storage unit that stores the image detected by the face detection unit as a moving image in a first mode, and a quality evaluation unit that evaluates the quality of the image detected by the face detection unit and stores the same as a still image in a second mode upon satisfaction of predetermined conditions evaluated based on the quality evaluation of the still image.
Abstract:
Provided is a method of generating a model, the method including generating a first model representing a change in the location or the shape of the region of interest during the respiration cycle, using diagnostic images that are obtained at two points of time in the respiration cycle and that represent the region of interest; extracting shape information of one or more tissues included in the region of interest at a shape information extractor, using a 3D ultrasound image that is obtained at one point of time in the respiration cycle; determining a characteristic point of the 3D ultrasound image corresponding to a characteristic point of the first model by matching the first model with the extracted shape information; and generating a second model by updating the first model with the determined characteristic point.