Structure and method for automatic recognition of magnetic resonance spectrum
An automatic identification and magnetic resonance technology, applied in the fields of medical images, informatics, instruments, etc., can solve the problems that affect the learning and mastery of magnetic resonance atlas, the positioning images cannot be displayed in the same frame, and it is inconvenient to carry, so as to be beneficial to mastery and learning. , increased enthusiasm and interest, clearly structured effect
Inactive Publication Date: 2019-07-19
宋晓明
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
T1, T2 magnetic resonance atlases and positioning images cannot be displayed in the same frame, which affects the learning and mastering of magnetic resonance atlases
[0004] The traditional MRI learning media are mainly books and textbooks, which are inconvenient to carry and need to be flipped when checking, which is inconvenient
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0035] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and examples.
[0036] The following are specific implementation methods.
[0037] 1. According to figure 1 Build model data.
[0038] 2. Establish T1 map, including head cross-section, head coronal, head sagittal, neck cross-section, chest cross-section, abdomen cross-section, pelvic cross-section, pelvic sagittal, limbs coronal, Joint sagittal, joint coronal. Adjust the brightness and grayscale of each part and each level of the image, and adjust the center position of the image.
[0039] 3. Establish T2 atlas, including head cross-section, head coronal, head sagittal, neck cross-section, chest cross-section, abdomen cross-section, pelvic cross-section, pelvic sagittal, limbs coronal, Joint sagittal, joint coronal. Adjust the brightness and grayscale of each part and each level of the image, and adjust the center position of the image. ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more PUM
Login to view more Abstract
The invention provides a structure and method for automatic recognition of magnetic resonance spectrum, relates to the technical field of computer application, specifically relates to a structure andmethod for automatic recognition of medical atlas, and especially relates to a structure and method for automatic recognition of magnetic resonance spectrum. The magnetic resonance spectrum includes the transverse, sagittal, and coronal magnetic resonance spectra of a human head, a neck, a chest, an abdomen, a pelvis, extremities, and joints, and T1 and T2 atlas. These atlas, text arrays, positioning images, and reference images form a data model are according to a certain data structure, and the data model accommodates images of different sizes, different formats and different resolutions, and texts of different formats and lengths. The structure and method for automatic recognition of magnetic resonance spectrum have the advantages of large storage capacity, clear structure, accurate recognition of T1 and T2 maps, and strong scalability. During recognition, the area recognition technology is adopted, and the mouse is followed to automatically display the Chinese and English names ofthe tissue organs, and at the same time, the positioning images are correspondingly displayed. The structure and method for automatic recognition of magnetic resonance spectrum are beneficial to the mastery and learning of the magnetic resonance spectrum, and are conductive to the comparison and judgment of the medical images by the clinical medical staff.
Description
technical field [0001] The invention relates to the technical field of computer applications, in particular to a structure and method for automatic identification of medical atlases, and in particular to a structure and method for automatic identification of magnetic resonance atlases. Background technique [0002] A medical atlas is a tomographic image of a normal human body obtained through medical imaging equipment. The medical atlas is used for medical school students to learn and master human anatomy, and also for medical staff to master and study medical images, and for comparison, diagnosis and treatment of patients' diseases. Medical atlases are divided into magnetic resonance atlases, CT atlases, B-ultrasound atlases, nuclear medicine atlases, etc. The magnetic resonance atlas can include images in the transverse, coronal, sagittal and arbitrary scan tangents, and each body position can contain T1 and T2 atlases. In comparison, magnetic resonance atlases are riche...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more Application Information
Patent Timeline
Login to view more Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20
CPCG16H30/20
Inventor 宋晓明
Owner 宋晓明
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Try Eureka
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap