267 results about "Medical image diagnosis" patented technology

A lesion area detection unit detects an abnormal peripheral structure (lesion area), a pulmonary blood vessel extraction unit extracts a branch structure (pulmonary blood vessel) from the three-dimensional medical image, an associated blood vessel identification unit identifies an associated branch structure functionally associated with the abnormal peripheral structure based on position information of each point in the extracted branch structure, and an associated lung parenchymal area identification unit identifies an associated peripheral area (lung parenchyma) functionally associated with the identified associated branch structure based on the position information of each point in the extracted branch structure.

A medical imaging diagnostic apparatus is maintained by means of a remote computer connected to a communication line. This maintenance includes: generating log data concerning a use state of a medical imaging diagnostic apparatus; transmitting the thus generated log data to the remote computer via the communication line; storing the thus transmitted log data as data that configures a database on the remote computer; and analyzing the use state of the medical imaging diagnostic apparatus so that the use state can be displayed based on the stored log data.

A cross-time and cross-modality inspection method for medical image diagnosis. A first set of medical images of a subject is accessed wherein the first set is captured at a first time period by a first modality. A second set of medical images of the subject is accessed, wherein the second set is captured at a second time period by a second modality. The first and second sets are each comprised of a plurality of medical image. Image registration is performed by mapping the plurality of medical images of the first and second sets to predetermined spatial coordinates. A cross-time image mapping is performed of the first and second sets. Means are provided for interactive cross-time medical image analysis.

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.

A cross-time inspection method for medical image diagnosis. A first set of medical images of a subject is accessed wherein the first set is captured at a first time period. A second set of medical images of the subject is accessed, wherein the second set is captured at a second time period. The first and second sets are each comprised of a plurality of medical image. Image registration is performed by mapping the plurality of medical images of the first and second sets to predetermined spatial coordinates. A cross-time image mapping is performed of the first and second sets. Means are provided for interactive cross-time medical image analysis.

The medical image diagnosis device of the invention includes image generating means configured to obtain image data of a tissue of an object and generate an image of the tissue of the object based on the image data, calculation means configured to calculate at least one of brightness and motion vectors of plural measurement points of the generated image, input means configured to specify an observation region of the image, a database in which a characteristic amount of at least one of the brightness and the motion vectors of the measurement points in respective images of plural different observation regions is set and stored in advance, checking means configured to read the characteristic amount of the observation region that is specified through the input means from the database and check the characteristic amount with results of calculation performed on the generated image by the calculation means, and ROI setting means configured to set a region of interest in the generated image based on checked results of the checking means.

A medical image diagnosis support device comprises an organ region setting means for setting an organ region on the medical image of the subject obtained by a medical imaging device, 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 for storing the index of the deformation degree of the organ region as a reference value, 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. Therefore, 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.

A lesion area detection unit detects an abnormal peripheral structure (lesion area), a pulmonary blood vessel extraction unit extracts a branch structure (pulmonary blood vessel) from the three-dimensional medical image, an associated blood vessel identification unit identifies an associated branch structure functionally associated with the abnormal peripheral structure based on position information of each point in the extracted branch structure, and an associated lung parenchymal area identification unit identifies an associated peripheral area (lung parenchyma) functionally associated with the identified associated branch structure based on the position information of each point in the extracted branch structure.

Using a three-dimensional medical image representing a heart as input, a cardiac function analysis unit calculates a cardiac function evaluation value representing a cardiac function with respect to each of predetermined portions of the heart, using a three-dimensional medical image representing the heart as input, a myocardial infarction analysis unit calculates a myocardial infarction rate representing a degree of myocardial infarction with respect to each of predetermined portions of the heart, and a superimposed image output unit outputs a superimposed image representing the cardiac function evaluation value and the myocardial infarction rate in a superimposing manner such that they are distinguishable from each other in a coordinate system capable of representing each position of the heart in the three-dimensional medical image.

By selecting at least one of an image and a report to be provided for an institute to which a patient is introduced, an object having the same series ID as that of the image or report is automatically obtained. Medical information including the object is generated and stored in an external medium. By selecting an image or the like to be provided to the institute to which a patient is introduced, address information of the selected image or the like and address information of an object or the like having the same series ID as that of the image or the like is automatically obtained. Medical information including the address information is generated and stored in an external medium.

The invention discloses a method for automatically generating a medical image diagnosis report based on the deep learning method. The method comprises steps that S1, a subject of the diagnosis reportis clustered based on the LDA algorithm, and the diagnosis report is saved separately according to the subject; S2, a subject vector is used as a label of each medical image; S3, CT images and PET images with different sizes are scaled to the same size as training data, subject vectors are used as labels, the VGGNet-19 is used as a network model for training, and a subject vector generation modelis obtained; S4, a text generation model is constructed; and S5, according to the subject vector of each image, the text of the corresponding subject is matched to obtain the diagnosis report of the image. The method is advantaged in that the method can be applied to scenes with images marked with lesions, a doctor has no need to manually summarize training data labels frequently, only the location and the size of the lesion should be marked, and the doctor's work is effectively reduced while the correct rate is improved.

A medical image diagnosis device according to an embodiment of the present invention includes: an imaging unit that takes an image of a subject, with an X-ray generation unit which exposes the subject to X-rays and an X-ray detector which detects X-rays that have passed through the subject, being supported on a supporter; a control unit that controls so as to rotate and move the supporter with respect to the subject and take images of the subject from a plurality of viewpoints; a storage unit that stores image data taken from a plurality of the viewpoints; an image processing unit that classifies a plurality of pieces of the image data stored in the storage unit into a plurality of imaging ranges to generate thumbnail images; and a display unit that displays thumbnail images generated by the image processing unit.

A PET gantry and a CT gantry are placed in parallel such that the CT gantry becomes remoter to a common examination couch having a movable couch table top board mounted with a subject person and the CT gantry is made to be movable. The gantries are controlled by a control portion in a console. At first, the CT gantry is moved in a left direction to separate from the PET gantry so that whole body CT scan is carried out for the subject person in a direction from the leg portion to the head portion. Successively, the subject person is passed through a tunnel portion from the leg portion to the head portion by moving the couch table top board in a right direction in a state of considerably separating the CT gantry from the PET gantry to thereby carry out whole body PET scan.

The invention belongs to the field of chemistry and relates to an organic near-infrared two-photon fluorescent dye with a structure in a formula I in the specification. The organic near-infrared two-photon fluorescent dye has the beneficial effects that after being excited, the organic near-infrared two-photon fluorescent dye simultaneously shows stronger luminous efficiency of single-photon near-infrared fluorescence and two-photon fluorescence; the efficiency of two-photon fluorescence is obviously improved compared with that of other carbocyanine dyes; living cell fluorescence microscope experiments show that probes prepared from the fluorescent dye can enter tumor cell lysosome through endocytosis and can be imaged and simultaneously monitored by single-photon fluorescence and two-photon fluorescence microscopes; the dye can achieve synchronous single-photon near-infrared fluorescence and two-photon fluorescence imaging in the in-vivo and in-vitro states; and the fluorescent dye has the characteristics o good water solubility and stable chemical properties, can be used or bio-macromolecular markers and in the field of medical image diagnosis and especially has strong application value in optical image guided tumor excision.

A medical imaging diagnosis apparatus for measuring the composite thickness of the tunica intima (42) and the tunica media (44) of a blood vessel of a subject by acquiring image data on the blood vessel. In order to improve the accuracy of the IMT measurement of the composite thickness, the medical imaging diagnosis apparatus has extracting means for extracting the tunica intima (42) and the tunica exterma (46) of the blood vessel on the basis of the brightness information of the image data to measure the composite thickness of the tunica intima and the tunica exterma of the vessel in reference to the two extracted regions.

The invention discloses a nano probe material for imaging, which is capable of efficiently breaching blood-brain barriers. Firstly, a high temperature pyrolysis method is adopted for preparing inner core NaYF4:Yb / TM / Gd hydrophobic nano-particles, then an NaGdF4 shell is formed through epitaxial growth so as to form core / casing structured NaYF4: Yb / Tm / Gd and NaGdF4 nano-particles, then hydrochloric acid hydrophilic modification and sulfhydryl PEG modification are performed, and finally, the nano probe material is prepared through Angiopep-2 grafting, and is marked as ANG / PEG-UCNPs. The material can be used for efficient blood-brain barrier breaching, magnetic resonance imaging diagnosis and positioning before an cranial cavity glioma operation, near infrared fluorescence imaging in the operation and image mediating, the imaging effect is good, the sensitivity is high, the physiological system toxicity is low, and the material plays an important significance in successful clinic glioma removing operations and the development and the application of medical image diagnostic techniques.

Extracting a lung field area and a branch structure area from a three-dimensional medical image, dividing a branch structure local area representing a portion of the branch structure area into a plurality of branch structure local sub-areas and estimating a lung field local sub-area in the lung field area functionally associated with each divided branch structure local sub-area based on the branch structure area, obtaining a pulmonary evaluation value in each estimated lung field local sub-area, and displaying, in a morphological image representing morphology of at least a portion of the branch structure local area, the pulmonary evaluation value in each lung field local sub-area functionally associated with each branch structure local sub-area in the morphological image superimposed such that correspondence relationship between the pulmonary evaluation value and the branch structure local sub-area in the morphological image is visually recognizable.

A medical image diagnosis apparatus designates an imaging range of a subject from a projection image for designation of the imaging range, specifies a specific spot on the projection image, performs scanning for generating a three-dimensional medical image of the subject on the basis of the imaging range, finds out a three-dimensional target region from the three-dimensional medical image on the basis of the specific spot, and detects a candidate for an abnormal part in the three-dimensional target region.

The invention discloses a medical photography system and a photography method implemented by the same. The medical photography system comprises a data acquiring module, a parameter calculating module and an executing and processing module. The data acquiring module is used for acquiring information of patients; the parameter calculating module determines framework location parameters, photography parameters and image post-processing parameters according to the information of the patients; the executing and processing module controls framework locations according to the framework location parameters, controls photography devices to carry out photography on the positions of the patients according to the photography parameters and processes acquired photography images according to the image post-processing parameters. The medical photography system and the photography method have the advantages that working processes can be simplified, skill requirements on operators can be lowered, the clinical training efficiency can be improved, and the operators can effectively concentrate on medical image diagnosis.

A boundary 1 of a wall in an initial image of time-series images is decided automatically or manually. A boundary 2 is generated automatically or manually in a neighbor of the other boundary of the wall. A normalized image is generated on the basis of an image pattern of a region surrounded by the boundaries 1 and 2 and registered as a template image. In each of the time-series images, boundaries 1 and 2 that generate a normalized image most similar to the template image are calculated. In this manner, wall thickness change can be calculated automatically stably and accurately even in the case where luminance change in the boundaries of a wall is obscure. This method is useful for diagnosis of heart disease etc. in medical image diagnosis.

The invention discloses a GAN-based medical diagnosis model anti-attack method for solving the security problem of an artificial intelligence medical image diagnosis model. The method comprises the following steps: building a ResNet-101-based high-precision residual neural network diagnosis model for an acquired medical pathological image, and then building a GAN-based confrontation attack network model which comprises a generator G and a discriminator D, wherein the generator G is used for generating a medical image confrontation sample by superposing high-dimensional random noise disturbance x on an input medical image, and the discriminator D is used for discriminating the authenticity of the confrontation sample; employing a PatchGAN discriminator based on a feature extraction image block for designing three layers of feature blocks including a residual block, expansion convolution and a channel attention mechanism as a main method for feature extraction, so that convolution kernel receptive fields of different scales can extract more refined feature map information by using the method and an effective input medical image disturbance area is obtained; therefore, the anti-attack effectiveness of the medical diagnosis model is improved, and the medical diagnosis model can be reinforced and defended from the anti-attack.

An X-ray diagnosis apparatus displays X-ray moving images by irradiating a subject with X-rays and detecting X-rays that have penetrated the subject, and includes a selection mechanism and a display. The selection mechanism selects images of high importance from among the X-ray moving images based on working-state information related to the working state of the operator performing surgery on the subject. The display list displays the selected images as thumbnails.

A medical image interpretation services system and method is disclosed. The system or method determines a calculated workload based on reference workload values for the medical procedure codes associated with the medical image exams that a medical image interpreter has already won or has a probability of winning. The system or method can prevent a medical image interpreter (such as a radiologist, a pathologist, or a dermatologist) from bidding if the calculated workload exceeds workload limits set by the medical image interpreter or set by the system.

The invention discloses a multifunctional medical image diagnosis device. The multifunctional medical image diagnosis device comprises a movable photography main unit, a photography flat bed and a chest radiography rack which are used independently or in a combined manner, wherein an X radiation source component, which can not only move up and down but also rotate, is mounted on the photography main unit; a plate drawer is mounted on the chest radiography rack; an image detection flat plate is placed on the photography flat bed or in the plate drawer; when the X radiation source component faces the photography flat bed, the photography main unit is combined with the photography flat bed for use, and lying posture photography diagnosis is realized; when the X radiation source component faces the plate drawer, the photography flat bed is combined with the chest radiography rack for use, and standing posture photography diagnosis is realized. The multifunctional medical image diagnosis device has the advantages that the problems of simplex function, low utility value, failure in prompt and precise diagnosis, and the like, of the traditional medical image diagnosis device are solved; multiple purposes can be realized; the cost is reduced; the usage rate is improved; the precision is greatly improved.

The invention discloses a patient data processing method of a medical cloud gateway, the cloud gateway and a medical cloud system. The patient data processing method comprises steps as follows: patient data from a hospital are received; the patient data are generated on the basis of medical imaging diagnosis of a patient; the patient data comprises a diagnosis report; the diagnosis report is converted into a file in the same format; patient data in the converted format are sent to cloud storage. The medical cloud gateway can communicate patient data distributed in hospitals, the patient data of the same type can be converted into the same file format and then sent to the cloud storage, and patient diagnosis results can be shared among different medical institutions.

Obtain a tomographic image of a patient table in advance in a state in which the object is not placed on the patient table. Obtain a tomographic image of the patient table with the object placed on the patient table. This tomographic image consists of an image of a patient table. The displacement calculation part determines the vertical displacement of images of the patient table in a non-loaded state and the tomographic image of the patient table in a loaded state. Meanwhile, markers are placed on the side of the patient table to indicate the displacement detecting position (reference position). The corrected image-forming part corrects the vertical positions of image data of the tomographic image in the loaded state based on the calculated displacement.

The invention provides an ultrasonic diagnosis apparatus, a medical image processing apparatus, and a medical image diagnosis apparatus, which can simply and quickly determine the 3D-ROI without considering the three-dimensional images and a plurality of two-dimensional images one by one in mind. The specifying unit 41 specifies cells on rays which pass through the respective pixels in the 2D-ROIand are used to acquire a VR image. The calculation unit 43 calculates the contribution degree of each cell based on the voxel value and opacity of each cell specified and calculates the average value of the contribution degrees of cells equal in distance from the screen of the VR image along the line-of-sight direction. The three-dimensional region-of-interest determination unit 45 specifies thedistances from the screen of the VR image which correspond to average contribution values exceeding the predetermined threshold and determines the position of the 3D-ROI in the volume data.

An image diagnosis assistance system includes a medical image management apparatus and an image diagnosis assistance processing apparatus configured to communicate with each other via a communication network, wherein the medical image management apparatus includes storage unit which stores a medical image obtained by a medical image diagnosis apparatus, extraction unit which extracts, from the medical image, as a diagnosis target image, a partial region including an anatomical region which is the target of image diagnosis, and transmission unit which transmits the diagnosis target image to the image diagnosis assistance processing apparatus via the communication network, and the image diagnosis assistance processing apparatus includes a reception unit which receives the diagnosis target image via the communication network, and a processing unit which performs image diagnosis assistance processing to assist the image diagnosis concerning the anatomical region with respect to the diagnosis target image. The image diagnosis assistance system reduces data quantity transmitted through the network for performing CAD process, and executes the CAD process with high efficiency.