70 results about "Organ region" patented technology

A method, system and device for measurement of a blood constituent level, including a light source, a light detector proximate an organ surface, adjustable gain amplifiers, and a processor / controller connected within a processing unit operative to separate AC and DC signal components. The device may determine the level of blood constituent, may use this level for monitoring and / or to activate an alarm when the level falls outside a predetermined range, may be applied to monitoring conditions of apnea, respiratory stress, and reduced blood flow in organ regions, heart rate, jaundice, and blood flow velocity, and may be incorporated within a monitoring system.

A system for segmenting a target organ tumor from an image includes a background model builder, a foreground model builder and a tumor region locator. The background model builder uses an intensity distribution estimate of voxels in an organ region in an image to build a background model. The foreground model builder uses an intensity distribution estimate of voxels in a target organ tumor to build a first foreground model. The tumor region locator uses the background model and the first foreground model to segment the target organ tumor to obtain a first segmentation result.

A medical image diagnosis support device comprises an organ region setting means, a deformation degree calculating means for calculating the deformation degree of the organ region set by the organ region setting means, a reference value storing means, a lesion detecting means for comparing the stored reference value with the deformation degree calculated by the deformation calculating means and for detecting existence of a lesion of the organ region from the comparison result, and a presenting means for presenting the existence to the examiner at least either visually or auditorily. Thus, the device can make a diagnosis selectively only on an organ region deformed because of a lesion and present it to the examiner visually such as by means of an image display or auditorily such as by means of speech, thereby improving the efficiency of diagnosis.

The application provides a method and system for smart community face recognition. The method of the application includes: acquiring a face image of a target human body; performing edge detection on the face image, and dividing the face image into a plurality of regions according to a closed edge; performing texture extraction on a key region in the plurality of regions to generate a texture feature vector of the key region, wherein the key region being a face organ region determined according to a clustering rule; and comparing and recognizing the key region based on the texture feature vector, and then determining the identity information of the target human body. The method and system of the invention are a few in collected facial features, small in amount of calculation, simple in algorithm, and high recognition speed, thereby improving the speed of face recognition, adapting to actual conditions such as distributed low-configuration hardware resources, mass recognition objects andhigh-frequency triggering in a smart community scenario, and realizing face recognition in an efficient, reliable, fast and low-cost manner.

In accordance with at least some embodiments of the present disclosure, a process for calculating patient-specific organ dose is presented. The process may include constructing a computed tomography (CT) volume based on CT images generated by a CT scanner. The process may include segmenting the CT volume into a plurality of organ regions, generating a material density map for the CT volume based on Hounsfield Unit (HU) values, and generating a dose distribution map for the CT volume based on the material density map by simulating particles emitting from the CT scanner and flowing through the CT volume. The process may further generate a dose value delivered to a specific organ region of the plurality of organ regions based on the dose distribution map.

An ultrasound imaging diagnosis apparatus and a method for supporting safe and exact puncturing into a target region in a patient's body are provided. In the apparatus, a regions setting unit sets a target tumor region for puncturing, blood vessel and organ regions that are located near the tumor region based on 3-D volume data. To avoid insertions into blood vessel and organ regions, a needle position detecting unit detects the tip position and inserting direction of the needle before and during insertion. An expected inserting position calculating unit calculates an expected inserting position and an insertion error region to the tumor region based on the tip position data, inserting direction data and needle characteristic data. A puncturing navigation data generating unit generates puncturing navigation data by composing tumor region data, organ region and blood vessel regions data, and data relating to the expected inserting position and insertion error region.

A first-image and a second-image representing the same organ of the same subject imaged at the same time are obtained, and an organ-region is extracted from the first-image. The extracted organ-region is displayed on a display screen. An input of an air-region included in the first-image and an input of exceeding or lacking portion information representing that the air-region is a lacking portion or an exceeding portion of the organ are received, and the received air-region and the received exceeding or lacking portion information corresponding to the air-region are obtained, as correction information. Corresponding positions are matched with other between the first-image and the second-image. The organ-region extracted from the first-image is corrected based on the correction information. At least an air-region in the second-image located at a position corresponding to the air-region corresponding to the correction information is extracted, as a part of the organ-region in the second-image.

To provide an ultrasonic diagnostic apparatus capable of producing a three-dimensional image of an object for an organ region within a range of elasticity values desired by an operator and allowing the operator to recognize the region easily, elasticity value data included in a desired elasticity value range among elasticity value data constituting a volume data are selected and rendered. Whereby, a three-dimensional elasticity image in the set elasticity value range is produced. An area corresponding to the elasticity value range is displayed on at least one of a two-dimensional elasticity image and a section image.

The invention provides a scenic spot intelligent photographing system based on facial expression classification. The scenic spot intelligent photographing system comprises a face information collection module which is used for collecting a face video and carrying out the recognition of an important organ region of a face, a face information analysis module which is used for determining facial feature points according to the important organ regions of the human face and generating facial expression feature vectors according to the variation of the positions of the facial feature points, an expression type determining module which is used for judging whether the facial expression feature vectors belong to facial expression types corresponding to the trained SVM classification vector machinesor not and determining the facial expression type of the current facial expression of the tourist, and a face image shooting module which is used for automatically shooting facial expressions of tourists whose determined facial expression types are matched with scenic spot features. The invention provides an intelligent photographing method of the system. When the facial expression type of the tourist is matched with the scenic spot characteristics, the scenic spot intelligent photographing system shoots a facial image of a tourist, increases attraction of the scenic spot, and increases the printing amount of scenic spot photos.

To provide an ultrasonic diagnostic apparatus capable of producing a three-dimensional image of an object for an organ region within a range of elasticity values desired by an operator and allowing the operator to recognize the region easily, elasticity value data included in a desired elasticity value range among elasticity value data constituting a volume data are selected and rendered. Whereby, a three-dimensional elasticity image in the set elasticity value range is produced. An area corresponding to the elasticity value range is displayed on at least one of a two-dimensional elasticity image and a section image.

An image diagnosis support device 10 of the present invention includes an image acquisition section 61 which acquires a tomographic image including a desired organ of an object from a medical image scanning apparatus 2 or a magnetic disk 13; a reference region extraction section 62 which extracts a reference region representing a reference in the organ of interest from the tomographic image acquired by the image acquisition section 61; an organ region extraction section 63 which extracts an organ region representing a region of the organ of interest from the tomographic image acquired by the image acquisition section 61; an organ shape information calculation section 64 which calculates organ shape information regarding the shape of the organ of interest from the reference region extracted by the reference region extraction section 62 and the organ region extracted by the organ region extraction section 63; and display control means 11 which displays on a monitor 15, which is a display device, the organ shape information calculated by the organ shape information calculation section 64.

The present application provides a ROI template generation method, a ROI extraction method, a system, an apparatus, and a medium. Wherein the ROI region extraction method includes identifying an organregion in the obtained face image; the preset ROI region template is adjusted to the edge of the recognized organ region to obtain the ROI region of the face image. The present application solves theproblem in the prior art that the area data processed in the face image processing using the ROI area template is not accurate enough.