61 results about "Department radiology" patented technology

A method of detecting and diagnosing cancers characterized by the presence of at least one nodule/neoplasm from an imaging scan is presented. To detect nodules in an imaging scan, a 3D CNN using a single feed forward pass of a single network is used. After detection, risk stratification is performed using a supervised or an unsupervised deep learning method to assist in characterizing the detected nodule/neoplasm as benign or malignant. The supervised learning method relies on a 3D CNN used with transfer learning and a graph regularized sparse MTL to determine malignancy. The unsupervised learning method uses clustering to generate labels after which label proportions are used with a novel algorithm to classify malignancy. The method assists radiologists in improving detection rates of lung nodules to facilitate early detection and minimizing errors in diagnosis.

A method and system for the use of a CAD algorithm that can be used to automatically detect retained colonic fluid and the rectal tube in computed tomographic (CT) imagery of a patient's colon is disclosed. The CAD algorithm can then electronically subtract the fluid and rectal tube from the images and the modified CT imagery can then be displayed to a user, such as a radiologist. Both the original and modified CT imagery will be stored for future presentation and review. The user, including the radiologist or other medical personnel, will have the option to toggle between displaying and reviewing the modified and original imagery. After subtraction, the radiologist will be able to view the imagery containing all pertinent information regarding the colonic lumen and any suspect region within the colon. Additionally, full processing of the scan is possible even when fluid retention in the colon is greater than fifty percent in any region.

The invention relates to a method for transmitting image for radiological department in hospital. The invention employs medical image device, image receiving module, image storage module, image standardized module, hospital information system interface, storage inquiry management module, image managing system PACS interface to transmit image for hospital radiological department, which is characterized by convenient management, prolonged storage time and fast inquiry.

A two step platform elevates a standing patient upon a horizontally located chamber for examination of the foot and ankle by radiological methods. The chamber receives a slide that carries an x-ray film beneath a foot of a standing patient. Additionally, the patient stands upon a visually and radiologicaly transparent deck. The deck has one slot for upright positioning and a chamber for horizontal positioning of a radiological film cartridge. The platform of the present invention allows a radiologist to take a radiological image of a patient's foot and ankle from both the side and above.

The invention relates to a diagnostic imaging instrument for radiology department, and belongs to the technical field of medical instrument. The diagnostic imaging instrument for radiology department comprises a diagnostic imaging instrument main body, a radiological imaging device and an examining table sliding device, wherein an information interaction wire hole is arranged on the diagnostic imaging instrument main body; an information interaction wire extends out of the information interaction wire hole; the information interaction wire is connected to a plug slot by virtue of a movable plug; an information processing plate is arranged on the lower side of the plug slot; a diagnostic imaging device is arranged on the lower side of the information processing plate; universal wheel fixed legs are arranged on the lower side of the diagnostic imaging device; the lower sides of the universal wheel fixed legs are connected to universal wheel connecting rods; and the lower sides of the universal wheel connecting rods are connected to universal wheel fixing devices. The diagnostic imaging instrument disclosed by the invention is complete in function and convenient to use; and the diagnostic imaging instrument, when conducting radiological diagnosis on patients, is scientific and effective, simple and practical, safe and reasonable, time-saving and labor-saving, and the instrument is capable of relieving working difficulty of doctors.

Disclosed is a clinical stereoscopic imaging examination device in radiology department including bottom plate, the horizontal section of the bottom plate is circular, the upper surface of the bottomplate and the lower surface of the rotating disk are rotatably connected by a planar bearing, axis of planar bearings, axis of base plate, the axes of the rotating disk coincide, the lower surface ofthe bottom plate is fixed with a stepping motor through a fixing bracket, the output shaft and the lower end of the rotation shaft of the stepping motor are connected through a coupling. The upper endof the rotating shaft passes through the perforation of the bottom plate and is fixed coaxially with the lower surface of the rotating circular plate, the patient stands on the rotating circular plate, the feet of the patient clamp the limiting rod, and the back of the patient leans against the vertical plate, so that the position of the patient is fixed when the rotating circular plate stands, the patient stands in a standard manner, the detection accuracy is improved, and the work efficiency of the doctor is improved. The physician can adjust the shortest distance between the vertical plateand the center of the rotating plate according to the patient's body shape, so as to improve the applicability of the clinical stereoscopic imaging examination device of the radiology department.

The invention discloses a medical imaging assistance device used in the radiology department. The medical imaging assistance device comprises a base, wherein a scanner body is fixed to the left side face of the base, a bed body is connected to the upper side face of the base in a sliding mode, a control switch is installed on the front side face of the bed body, the input end of the control switch is connected with the output end of an external power supply, and two horizontal fixing shafts are oppositely fixed in the inner cavity of the bed body. The medical imaging assistance device used in the radiology department is simple in structure and convenient to adjust and corresponds to a reference line on the scanner body by arranging six groups of adjusting belts in the bed body to transversely adjust the body of a patient and turning the adjacent adjusting belts in a staggered mode to adjust local bending of the body, fixing and separation of a single gear sleeve and a rotary shaft can be achieved through a bidirectional driving air cylinder, the corresponding gear sleeve is driven to rotate through the rotary shaft so as to achieve adjusting belt adjustment, control is convenient, detection abnormity caused by an incorrect prone position is avoided, and the burden of a doctor is relieved.

The invention relates to a network browsing method for treating image for hospital radiological department, which employs medical image device, image browsing module, image transmission module, radiological information system and internet for image in radiological department to be browsed on internet. The invention is characterized by convenient usage and low cost.

The invention discloses a radiology department-used lifting-type special platform, which comprises a supporting box body. The supporting box body is internally provided with an electric control device; the right side inside the supporting box body is provided with a storage device; the bottom plate of the supporting box body is provided with all-around wheels; stiffeners are arranged on the supporting box body; the middle of the supporting box body is provided with a lifting device; four corners of the working platform are welded with guiding cylinders connected onto the bottom part of the bed body via sliding vertical columns; the rear end of the bed body is provided with a cal button; the front end of the call button is provided with a telescopic transfusion stand; the right end of the bed body is provided with a medical pillow; the right end of the bed body is provided with the working platform; and a sound player is arranged on the vertical supporting plate of the working platform. The radiology department-used lifting-type special platform adopts leadscrew nut pairs to realize lifting and replaces the existing hydraulic lifting device, leakage of hydraulic fluid is avoided, the platform is clean and pollution-free, a patient can call a doctor at any time during the treatment process as the call button is set, the device considers the feelings of the patient, and the actual demands can be met.

The invention discloses a medical inspection test bed for a radiology department. The medical inspection test bed comprises a radiology test bed and a fixed arm. A radiation-proof glass cover is internally provided with an X ray tube. The surface of the medical inspection test bed is connected to a bracket through a fixed hinge. The top of the bracket is connected to a lighting lamp through a movable hinge. The middle part of the left edge of the radiology test bed is connected to a drawer through a fixed end, and the middle part of the right edge of the radiology test bed is connected to a distribution box through a fixed end. The upper end of the fixed arm is connected to the radiology test bed through a fixed hinge, the right surface of the fixed arm is provided with a power supply switch, and the end of the lower side of the fixed arm is connected to a support base through a fixed hinge. The support base is fixed to the surface of the fixed base. The medical inspection test bed for a radiology department has the advantages of a simple structure and convenience in use, the operation in examining a patient is simple, and the working difficulty of medical personnel is reduced.

A method and system for medical image pre-processing at the medical image scanner that facilitates joint interpretation of the medical images by radiologists and artificial intelligence algorithms is disclosed. Raw medical image data is acquired by performing a medical image scan of a patient using a medical image scanner. Input data associated with the medical image scan of the patient and available downstream automated image analysis algorithms is acquired. A set of pre-processing algorithms to apply to the raw medical image data is selected based on the input data associated with the medical image scan of the patient and the available downstream automated image analysis algorithms using a trained machine learning based model. One or more medical images are generated from the raw medical image data by applying the selected set of pre-processing algorithms to the raw medical image data.

The invention discloses a clinical three-dimensional imaging examination device for the radiology department. The device comprises a base, a high pressure generator is arranged at the left side of theupper surface of the base, and a starting switch is arranged on the portion, close to the high pressure generator, of the left side of the upper surface of the base; a supporting rack is arranged atthe right side of the upper surface of the base, a PLC is arranged at the upper end of the supporting rack, and an illumination switch is arranged on the portion, close to the supporting rack, of theupper surface of the base; a cylinder body is arranged in the middle of the upper surface of the base, guide rails are vertically arranged at the left and right sides of the bottom in the cylinder body, and linear motors are slidingly clamped to the side surfaces of the guide rails; an annular rack is arranged between the two linear motors, a fixing plate is arranged at one side in the annular rack, and a mounting groove is formed in the side surface of the fixing plate; an X-ray tube is arranged in the mounting groove, and a connection plate is arranged at the other side in the annular rack.The clinical three-dimensional imaging examination device for the radiology department is convenient to use, a patient can be quickly subjected to whole-body scanning examination, step-by-step multi-term examination is not needed, and the working efficiency of medical personnel is improved.

An artificial intelligence engine for directed hypothesis generation and ranking uses multiple heterogeneous knowledge graphs integrating disease-specific multi-omic data specific to a patient or cohort of patients. The engine also uses a knowledge graph representation of ‘what the world knows’ in the relevant bio-medical subspace. The engine applies a hypothesis generation module, a semantic search analysis component to allow fast acquiring and construction of cohorts, as well as aggregating, summarizing, visualizing and returning ranked multi-omic alterations in terms of clinical actionability and degree of surprise for individual samples and cohorts. The engine also applies a moderator module that ranks and filters hypotheses, where the most promising hypothesis can be presented to domain experts (e.g., physicians, oncologists, pathologists, radiologists and researchers) for feedback. The engine also uses a continuous integration module that iteratively refines and updates entities and relationships and their representations to yield higher quality of hypothesis generation over time.

The invention discloses a contrast agent used in the tumor radiology department. The raw materials include: 2-12 parts of citric acid buffer solution of the contrast agent Omniscan, 20-50 parts of chloroform, and 1-2 parts of dimethyl sulfoxide in parts by weight. , soybean lecithin 30‑100 parts, dilauroyl lecithin 2‑10 parts, dipalmitoyl lecithin 1‑3 parts, cholesterol 1‑10 parts, PEG3000 2‑12 parts, palmitic acid PEG3000 monoester 1‑4 parts, Palmitic acid‑GG peptide 0.5‑1 part. The developer obtained by the invention can significantly reduce the background noise during magnetic resonance imaging, improve the image contrast quality, not only can detect early tumors, but also make the effective observation time of magnetic resonance imaging more than 2 hours.

The invention discloses a CT report generation method based on Transformer, and the method comprises the steps: obtaining a CT image, and extracting a visual feature sequence of the CT image based on a preset CT report generation model; encoding the visual feature sequence to obtain a hidden layer feature sequence; decoding the hidden layer feature sequence, obtaining the word probability corresponding to the CT image, wherein the word probability is used for representing the word recognition probability when the CT image is converted into characters; and generating a CT medical report text according to the word probability. According to the method, the relationship between different objects is established during image coding, and the similar modes of different medical reports are modeled and stored during decoding, so that the accurate medical reports with rich contents are generated, the workload of radiologists is reduced, and clinical automation is facilitated.

The invention relates to a thyroid myeloid cancer ultrasonic image identification method based on clinical prior knowledge guidance. Firstly, a thyroid nodule area is obtained by designing a cascade segmentation network, then a multi-branch classification network is designed, and according to clinical knowledge guidance of radiologists, important thyroid ultrasound image feature validity and calcification are added as prior knowledge to assist network classification. The method not only can distinguish benign and malignant nodules in the image, but also can accurately distinguish the malignant nodules into myeloid thyroid carcinoma and papillary thyroid carcinoma.

The invention discloses a radiology department medical device. The radiology department medical device comprises an operating table, the top of the operating table is fixedly connected with a rectangular frame, and one side of the top of the operating table where the rectangular frame is arranged is fixedly connected with a protecting cover; the bottom of the inner wall of the rectangular frame isrotatingly connected with a moving rod through a bearing, and the top end of the moving rod is fixedly connected with a mounting plate; the top of the mounting plate is fixedly connected with a threaded rod, and the top end of the threaded rod is rotatingly connected with the top of the inner wall of the rectangular frame through a bearing; the outer surface of the moving rod is provided with a first belt pulley in a sleeve mode; the top and the bottom of the inner wall of the protecting cover are rotatingly connected with a rotating rod through bearings. The radiology department medical device relates to the technical field of medical equipment. The radiology department medical device can achieve height adjustment of an X-ray machine to save time and labor, to benefit imaging diagnosis of patients, to improve the application efficiency of the X-ray machine and to enable doctors to more rapidly detect diseases of the patients.

The invention relates to a thyroid malignant nodule detection method based on deep learning, the method is used for the auxiliary diagnosis of thyroid malignant nodules, and the automatic labeling ofa region of interest can be achieved after the training of a large amount of data under the characteristics of low medical image resolution, low precision and low target and background identificationdegree. Errors caused by subjective factors can be effectively reduced, and radiologists can be helped to diagnose quickly and accurately. The detection precision and speed are considerable, and the method has the potential of clinical application.

The invention belongs to the technical field of aortic aneurysm auxiliary diagnosis, and particularly relates to a deep learning-based computed tomography aortic aneurysm auxiliary diagnosis method, which comprises the following steps of: 1, data acquisition: firstly, retrospectively collecting a plurality of common CT scans with aorta from a hospital area of a hospital; 2, data processing: dividing the data into three data sets: a training set, an internal test set and an external test set; and 3, establishing a model, constructing an auxiliary diagnosis tool by using an Attention-Unet convolutional neural network, evaluating the risk, detection sensitivity, specificity and accuracy of the aortic aneurysm in a test set by using the auxiliary diagnosis tool. The method is reasonable in design and has good diagnosis capability on aortic aneurysm; when the method is used in combination with radiologists, the film reading and decision-making capabilities of the radiologists can be remarkably enhanced, and the overall strength of imaging departments is improved. Therefore, the performance of the advanced technology proves that the non-invasive, cheap and convenient method has the potential of clinical tests.