Disclosed herein is a medical system (100, 300) comprising a display (112) and a user interface (114). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) three-dimensional medical image data (122) of an anatomical structure (128, 322); receive (202) a three-dimensional segmentation (124) with one or more reference locations (800); display (204) at least one two-dimensional slice (126) of the three-dimensional medical image data; render (206) a cross section (134) of the three-dimensional segmentation, provide (208) a control element (130) of the user interface that is configured for receiving a one-dimensional position of the at least one reference location along a predetermined one-dimensional path (806); receive (210) the one-dimensional position (137) from the control element; adjust (212) the three-dimensional segmentation (124) using the one-dimensional position; and update (214) the rendering of the cross section of the three-dimensional segmentation.

A program causes a computer to perform processing of: acquiring an endoscopic image obtained by capturing a subject using an endoscope; extracting region-of-interest information from the acquired endoscopic image; acquiring a three-dimensional medical image obtained by capturing an inside of a body of the subject using at least one of X-ray CT, X-ray cone beam CT, MRI-CT, and an ultrasonic diagnostic device; deriving position information in a coordinate system of the three-dimensional medical image specified by the region-of-interest information and the three-dimensional medical image; and storing the region-of-interest information and the three-dimensional medical image in association with each other based on the derived position information and a capturing time point of each of the endoscopic image and the three-dimensional medical image.

An ultrasound imaging system is for determining stroke volume and/or cardiac output. The imaging system may include a transducer unit for acquiring ultrasound data of a heart of a subject (or an input for receiving the acquired ultrasound data), and a controller. The controller is adapted to implement a two-step procedure, the first step being an initial assessment step, and the second being an imaging step having two possible modes depending upon the outcome of the assessment. In the initial assessment procedure, it is determined whether regurgitant ventricular flow is present. This is performed using Doppler processing techniques applied to an initial ultrasound data set. If regurgitant flow does not exist, stroke volume is determined using segmentation of 3D ultrasound image data to identify and measure the volume of the left or right ventricle at each of end systole and end-diastole, the difference between them giving a measure of stroke volume. If regurgitant flow does exist, stroke volume is determined using Doppler techniques applied to ultrasound data continuously collected throughout a cardiac cycle.

Systems and methods for attenuation measuring using ultrasound. In various embodiments, echo data corresponding to a detection of echoes of one or more ultrasound signals transmitted into tissue are received. The echoes can be received from a range of depths of the tissue. Spectral measurements across the range of depths of the tissue are obtained using the echo data. Attenuation characteristics of the tissue across the range of depths of the tissue can be estimated using the spectral measurements across the range of depths of the tissue. Specifically, the attenuation characteristics of the tissue can be estimated using the spectral measurements and known spectral characteristics of the one or more ultrasound signals transmitted into the tissue.

A method of quantifying a 3D fractional moving blood volume (3D-FMBV) in a tissue volume of a subject using an ultrasound system, including acquiring images of the tissue volume from a power Doppler scan of the tissue volume; applying image enhancement settings to the images; segmenting an organ, tissue or region thereof from the image data; determining geometric partitions of the segments based on distance from the transducer head of the ultrasound system; and computing a 3D-FMBV using a 3D-FMBV analysis algorithm from the partitions.

A method for registering a two-dimensional image data set with a three-dimensional image data set of a body of interest is discloses herein. The method includes the following steps: obtaining a first spatial parameter of a first registered virtual camera, wherein the first registered virtual camera is positioned corresponding to a first two-dimensional image of the two-dimensional image data set; and adjusting a second spatial parameter of the first unregistered virtual camera with the first spatial parameter of the first registered virtual camera, wherein the first unregistered virtual camera is failed to be positioned corresponding to the first two-dimensional image of the two-dimensional image data set.

Systems and methods for attenuation measuring using ultrasound. In various embodiments, echo data corresponding to a detection of echoes of one or more ultrasound signals transmitted into tissue are received. The echoes can be received from a range of depths of the tissue. Spectral measurements across the range of depths of the tissue are obtained using the echo data. Attenuation characteristics of the tissue across the range of depths of the tissue can be estimated using the spectral measurements across the range of depths of the tissue. Specifically, the attenuation characteristics of the tissue can be estimated using the spectral measurements and known spectral characteristics of the one or more ultrasound signals transmitted into the tissue.

A method for display processing of 3D image data includes obtaining 3D volume data of the head of a target body; detecting a transverse section at an anatomical position from the 3D volume data according to image characteristic of the head of the target body in a transverse section related to the anatomical position; and displaying the transverse section.

This invention relates generally to the detection of objects, such as stents, within intraluminal images using principal component analysis and/or regional covariance descriptors. In certain aspects, a training set of pre-defined intraluminal images known to contain an object is generated. The principal components of the training set can be calculated in order to form an object space. An unknown input intraluminal image can be obtained and projected onto the object space. From the projection, the object can be detected within the input intraluminal image. In another embodiment, a covariance matrix is formed for each pre-defined intraluminal image known to contain an object. An unknown input intraluminal image is obtained and a covariance matrix is computed for the input intraluminal image. The covariances of the input image and each image of the training set are compared in order to detect the presence of the object within the input intraluminal image.

An ultrasound imaging system includes a transducer array with at least one transducer element. The system further includes an echo processor that processes ultrasound echo signals received by at least one transducer element, producing an image of scanned tissue of interest. The system further includes memory that stores a plurality of 3D pictogram, each representing different anatomical regions of a subject. The system further includes a pictogram processor that identifies a 3D pictogram of the plurality of 3D pictogram corresponding to the scanned tissue of interest. The 3D pictogram includes a 3D pictorial representation of an anatomical region including the scanned tissue of interest. The system further includes a display monitor. The system further includes a rendering engine that displays the image and the 3D pictogram via the display monitor. The 3D pictogram is overlaid over a pictogram region of the displayed image.