[go: up one dir, main page]

Tajdari, 2022 - Google Patents

Bio-Informed Image-Based Deep Learning Frameworks for Prognosis of Pediatric Spinal Deformities

Tajdari, 2022

Document ID
873103426053794675
Author
Tajdari M
Publication year

External Links

Snippet

Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient's initial visit is a challenging task. This research provides a bio-informed framework based on a mechanistic machine learning technique with dynamic patient-specific (PS) parameters to …
Continue reading at search.proquest.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30008—Bone
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4528—Joints
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications

Similar Documents

Publication Publication Date Title
Maken et al. 2D-to-3D: a review for computational 3D image reconstruction from X-ray images
Reyneke et al. Review of 2-D/3-D reconstruction using statistical shape and intensity models and X-ray image synthesis: toward a unified framework
Sarkalkan et al. Statistical shape and appearance models of bones
US8126249B2 (en) Methods of and system for detection and tracking of osteoporosis
Boisvert et al. Geometric variability of the scoliotic spine using statistics on articulated shape models
Thong et al. Three-dimensional morphology study of surgical adolescent idiopathic scoliosis patient from encoded geometric models
US10147190B2 (en) Generation of a patient-specific anatomical atlas
Tajdari et al. Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks
US20120143090A1 (en) Assessment of Spinal Anatomy
Devedžić et al. ScolioMedIS: Web-oriented information system for idiopathic scoliosis visualization and monitoring
Boisvert et al. Articulated spine models for 3-D reconstruction from partial radiographic data
Phan et al. Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000–2009
US20210118134A1 (en) Method and system for postural analysis and measuring anatomical dimensions from a radiographic image using machine learning
WO2023224022A1 (en) Program, information processing method, and information processing device
Mandel et al. Prediction outcomes for anterior vertebral body growth modulation surgery from discriminant spatiotemporal manifolds
Kadoury Three-dimensional spine reconstruction from radiographs
Tajdari Bio-Informed Image-Based Deep Learning Frameworks for Prognosis of Pediatric Spinal Deformities
Borotikar et al. Augmented statistical shape modeling for orthopedic surgery and rehabilitation
US12336839B2 (en) Quantitative dynamic MRI (QDMRI) analysis and virtual growing child (VGC) systems and methods for treating respiratory anomalies
Boisvert et al. 3D anatomical variability assessment of the scoliotic spine using statistics on Lie groups
Morita Computer-aided Diagnosis Systems Based on Medical Image Registration
Chien et al. A shape-partitioned statistical shape model for highly deformed femurs using X-ray images
Overbergh et al. Development and validation of image-based subject-specific skeletal models of spinal deformity patients for use in motion analysis
Paccini et al. 3D anatomical modelling and analysis of the spine
Agrawal et al. Neuro-fuzzy approach for reconstruction of 3-D spine model using 2-D spine images and human anatomy