Abstract: An apparatus for analyzing an ultrasonic image is provided. The apparatus includes a feature point extracting unit configured to convert the ultrasonic image into a phase information image and extract a feature point from the phase information image, and an image registering unit configured to perform an image registration on the ultrasonic image based on the extracted feature point.

Abstract: Disclosed are an apparatus for navigating through a volume image and a method thereof. The apparatus for navigating through a volume image includes a navigation plane detecting unit configured to generate a virtual plane in a navigation coordinate system in a real world from user gesture data and determine the virtual plane as a navigation plane, an extracting unit configured to extract a 2D sectional image corresponding to the navigation plane from 3D volume data, based on a reference surface of a volume coordinate system of a virtual world corresponding to a reference surface of the navigation coordinate system, and a display unit configured to display the extracted sectional image.

Abstract: An apparatus and method for providing additional information for region of interest. The apparatus includes a region of interest extractor configured to extract regions of interest from a first medical image and at least one second medical image, a region of interest merger configured to merge a region of interest of the at least one second medical image into the first medical image, an additional information determiner configured to determine additional information required for each region of interest, and an additional information provider configured to provide the determined additional information for the each region of interest.

Abstract: Disclosed is region of interest (ROI) detection apparatus and method. The ROI detection apparatus includes: a selecting criterion acquirer configured to acquire a selecting criterion; an image receiver configured to receive a current image; a suspicious area selector configured to select a part of the current image as a suspicious area according to the selecting criterion; and an ROI detector configured to detect an ROI from the suspicious area.

Abstract: A method of visualizing anatomical elements in a medical includes receiving a medical image; detecting a plurality of anatomical elements from the medical image; verifying a location of each of the plurality of anatomical elements based on anatomical context information including location relationships between the plurality of anatomical elements; adjusting the location relationships between the plurality of anatomical elements; and combining the verified and adjusted information of the plurality of anatomical elements with the medical image.

Abstract: A diagnostic imaging apparatus and method are provided. The diagnostic imaging apparatus includes a detection unit configured to detect a lesion from a medical image, an interpretation unit configured to acquire a shape feature value by interpreting a shape of the detected lesion in a frequency domain, and a diagnosis unit configured to determine whether the detected lesion is benign or malignant based on the acquired shape feature value.

Abstract: An apparatus and a method for lesion detection are provided. The method of lesion detection involves detecting lesion candidates from a medical image, detecting anatomical objects from the medical image, verifying each of the lesion candidate based on anatomical context information comprising information regarding a location relationship between the lesion candidates and the anatomical objects, and removing one or more false positive lesion candidate from the detected lesion candidates based on a verification result.

Abstract: A diagnostic imaging apparatus and method are provided. The diagnostic imaging apparatus includes a detection unit configured to detect a lesion from a medical image, an interpretation unit configured to acquire a shape feature value by interpreting a shape of the detected lesion in a frequency domain, and a diagnosis unit configured to determine whether the detected lesion is benign or malignant based on the acquired shape feature value.

Abstract: An apparatus and method thereof include an observation map generator configured to generate a three-dimensional (3D) observation map based on display frequency and/or display duration of a cross-sectional image of a 3D volume image, wherein the 3D observation map three-dimensionally represents degrees of interest for each voxel of the 3D volume image. The apparatus also includes a region of interest marker configured to mark a region of interest.

Abstract: An apparatus and method for adapting a diagnostic model for Computer-Aided Diagnosis (CAD). The CAD apparatus includes an image acquirer configured to acquire an image of an object, a diagnosis model store configured to store at least one diagnostic model, an adaptive information provider configured to provide adaptive information regarding the image, a diagnostic model adapter configured to select a diagnostic model from the diagnostic model store and to generate an adapted diagnostic model based on the selected diagnostic model and the adaptive information, and a diagnoser configured to perform CAD on the image using the adapted diagnostic model.

Abstract: An apparatus and a method for combining three-dimensional ultrasound images are provide. The method involves obtaining a plurality of three-dimensional ultrasound image data that corresponds to a Region of Interest (ROI); detecting one or more landmarks, using a parameter for detection; outputting the detection result and receiving a response from a user; registering each of one or more selected landmarks as link information according to a received response from the user; and generating a combined three-dimensional ultrasound image by combining at least two pieces of three-dimensional ultrasound image data using at least one of the one or more selected landmarks registered as the link information, wherein the at least two pieces of three-dimensional ultrasound image data commonly comprise the at least one of the one or more selected landmarks.

Abstract: An apparatus for detecting an error in a contour of a lesion includes an extracting unit configured to extract a contour of a lesion in each of a plurality of two-dimensional image frames that form a three-dimensional image, and an error determining unit configured to determine a presence or an absence of an error in a contour of a lesion in a target image frame of the two-dimensional image frames based on estimation information about the lesion in the target image frame and/or an energy value that corresponds to the contour of the lesion in the target image frame.

Abstract: In a method and an apparatus for automatically generating an optimal 2-dimensional (2D) medical image from a 3D medical image, at least one virtual plane crossing a 3D volume is generated from 3D volume image data for showing part of a patient's body in a 3D manner, at least one 2D image representing a cross section of the part of the patient's body is generated by applying the 3D volume image data to the virtual plane, and a 2D image suitable for diagnosis of the patient having a feature most similar to a target feature from among the at least one 2D image is output.

Abstract: An apparatus and method for medical diagnostics includes receiving three-dimensional (3D) volume data of a part of a patient's body, and generating two-dimensional (2D) slices including cross-sections of the 3D volume data cut from a cross-section cutting direction. The apparatus and the method also determine whether a lesion in each of the 2D slices is benign or malignant and output results indicative thereof, select a number of the 2D slices based on the results, and make a final determination whether the lesion is benign or malignant based on the selected 2D slices.

Abstract: An apparatus for detecting an error in a contour of a lesion includes an extracting unit configured to extract a contour of a lesion in each of a plurality of two-dimensional image frames that form a three-dimensional image, and an error determining unit configured to determine a presence or an absence of an error in a contour of a lesion in a target image frame of the two-dimensional image frames based on estimation information about the lesion in the target image frame and/or an energy value that corresponds to the contour of the lesion in the target image frame.

Abstract: An apparatus and method for detecting a lesion, which enables to adaptively determine a parameter value of a lesion detection process using a feature value extracted from a received medical image and a parameter prediction model to improve accuracy in lesion detection and lesion diagnosis. The apparatus and the method include a model generator configured to generate a parameter prediction model based on pre-collected medical images, an extractor configured to extract a feature value from a received medical image, and a determiner configured to determine a parameter value of a lesion detection process using the extracted feature value and the parameter prediction model.

Abstract: An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.

Abstract: A diagnosis aiding apparatus and method to provide diagnosis information is provided. The diagnosis aiding apparatus includes an information display unit configured to display a reference cross-section of an image, display diagnosis information belonging to the reference cross-section, and display diagnosis information corresponding to a different cross-section within the reference cross-section displayed.

Abstract: There is provided an image segmentation apparatus and related method for enhancing accuracy of image segmentation based on user interaction. The image segmentation apparatus including an interface configured to, in response to an image displayed on the interface, receive information about the image from a user and a segmenter configured to segment the contour of a region of interest (ROI) in the image based on the information.

Abstract: A lesion diagnosis apparatus and a lesion diagnosis method are provided. A lesion-surrounding area determination unit is configured to determine an existence of a lesion-surrounding area from continuous medical images. A feedback provision unit is configured to generate feedback information about a presence of a lesion in the lesion-surrounding area.