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 a user interface which enables mark based interaction for images. The present disclosure relates to a user interface which enables mark based interaction for images, the images comprising a volume which is a three-dimensional image and slices which are two-dimensional images, each of which represents a cross section of the volume. At least two of the images each include the same visual mark for identifying at least one common region of interest. The user interface comprises: an input unit for receiving a user input associated with the same visual mark included in one of the images; and at least one component for enabling the interaction for the images including the same visual mark associated with the user input.

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: Disclosed are an apparatus and a method for determining lesion similarity of a medical image. The apparatus for determining lesion similarity according to one aspect of the present invention may comprise: an image input unit for receiving a reference image comprising a reference lesion area, and a target image comprising a target lesion area; and a similarity determination unit for determining similarity of the reference lesion area and the target lesion area by applying an advantage weight, which increases as getting closer to the center of the reference lesion area, to pixels included in a first area of the reference lesion area, and a penalty weight, which increases as getting farther away from the reference lesion area, to pixels included in a second area of the target lesion area.

Abstract: There is provided an apparatus for supporting Computer Aided Diagnosis (CAD) based on a speed of a probe. The apparatus includes a region of interest (ROI) detector configured to detect an ROI from a current image acquired from a probe; and an ROI classifier configured to determine whether to classify the ROI using a determined state of a speed, and classify the ROI according to a result of the determination.

Abstract: There is provided an apparatus for visualizing a region of interest (ROI) in a Computer Aided Diagnosis (CAD) system. The apparatus includes: an image receiver configured to receive images; an ROI acquirer configured to acquire the ROI from a current image; and an ROI visualizer configured to, in response to acquisition of the ROI from the current image, output visualization information for visualizing the ROI acquired from the current image based on a change between the ROI acquired from the current image and an ROI acquired from a previous image.

Abstract: Provided is a medical imaging apparatus including: an image processor configured to extract properties that an object has with respect to at least one feature, based on a plurality of medical images of the object; and a controller configured to control a display to display a first medical image from among the plurality of medical images and the extracted properties and display a first property shown in the first medical image from among the properties and a second property not shown in the first medical image in such a manner that the first property and the second property are distinguished from each other.

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: 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: 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: 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: 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: An apparatus and a method for supporting acquisition of a multi-parametric image are provided. An apparatus for supporting acquisition of a multi-parametric image includes: a disease selector configured to select a suspected disease of a patient based on patient information; and an image selector configured to determine a set of imaging conditions of a multi-parametric magnetic resonance image corresponding to the suspected disease based on a multi-parametric magnetic resonance imaging model.

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: 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: An apparatus and a method for Computer Aid Diagnosis (CAD) based on eye movement are provided. The apparatus includes a gaze area detector configured to detect, based on eye movement of a user, a gaze area on a medical image on which a region of interest (ROI) is detected, the gaze area being an area at which the user gazes for a period of time. The apparatus further includes an ROI redetector configured to detect another ROI on the gaze area.

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.

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: A computer-aided diagnosis (CAD) method includes extracting a lesion feature value of a lesion feature of a lesion from a captured lesion image; receiving additional information; and diagnosing the lesion based on a combination of the extracted lesion feature value and the received additional information.

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.