[go: up one dir, main page]

Li et al., 2022 - Google Patents

Deep learning in ultrasound elastography imaging: A review

Li et al., 2022

View PDF
Document ID
11719998332508725772
Author
Li H
Bhatt M
Qu Z
Zhang S
Hartel M
Khademhosseini A
Cloutier G
Publication year
Publication venue
Medical Physics

External Links

Snippet

It is known that changes in the mechanical properties of tissues are associated with the onset and progression of certain diseases. Ultrasound elastography is a technique to characterize tissue stiffness using ultrasound imaging either by measuring tissue strain …
Continue reading at www.lbum-crchum.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10132Ultrasound image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/485Diagnostic techniques involving measuring strain or elastic properties
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037Reshaping or unfolding a 3D tree structure onto a 2D plane
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0062Arrangements for scanning
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • A61B5/004Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • G06K2209/051Recognition of patterns in medical or anatomical images of internal organs

Similar Documents

Publication Publication Date Title
Li et al. Deep learning in ultrasound elastography imaging: A review
Ansari et al. Advancements in deep learning for B-mode ultrasound segmentation: a comprehensive review
Abdi et al. Automatic quality assessment of echocardiograms using convolutional neural networks: feasibility on the apical four-chamber view
Liu et al. Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure
US7925064B2 (en) Automatic multi-dimensional intravascular ultrasound image segmentation method
Ashikuzzaman et al. Displacement tracking techniques in ultrasound elastography: From cross correlation to deep learning
US20060058592A1 (en) Process, system and software arrangement for measuring a mechanical strain and elastic properties of a sample
Yang et al. Recent advances in deep-learning-enhanced photoacoustic imaging
Zhou et al. Artificial intelligence in quantitative ultrasound imaging: a survey
Yang et al. Current advances in computational lung ultrasound imaging: a review
Tuladhar et al. Ultrasound elastic modulus reconstruction using a deep learning model trained with simulated data
Majumder et al. RAFT-USENet: a unified network for accurate axial and lateral motion estimation in ultrasound elastography imaging
Magyar et al. RVENet: A large echocardiographic dataset for the deep learning-based assessment of right ventricular function
Jahren et al. Reverberation suppression in echocardiography using a causal convolutional neural network
Tang Heart image digital model building and feature extraction analysis based on deep learning
Sawyer et al. Evaluation of segmentation algorithms for optical coherence tomography images of ovarian tissue
Akkus Artificial Intelligence-Powered Ultrasound for Diagnosis and Improving Clinical Workflow
Kim et al. Quantitative assessment of thyroid nodules through ultrasound imaging analysis
Li et al. Deep Learning in Ultrasound Elastography Imaging
Li et al. UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging
Holstein Deep learning methods for automated segmentation of medical ultrasound images
Cammarasana et al. Real-Time Processing of Ultrasound Images: State-of-the-Art and Future Perspectives
Cammarasana et al. Ultrasound Imaging: Overview and Challenges
Zhang et al. Self-Supervised Ultrasound Strain Elastography using SMURF
Wang et al. Adaptive mesh refinement for elastic modulus reconstruction in elastography