[go: up one dir, main page]

Rizki et al., 2023 - Google Patents

Active Contour-Based Analysis of Stent Characterization in Cardiac Coronary Arteries from 2D Intravascular Ultrasound Images

Rizki et al., 2023

Document ID
13706312133481078243
Author
Rizki R
Sardjono T
Hikmah N
Publication year
Publication venue
2023 6th International Conference on Information and Communications Technology (ICOIACT)

External Links

Snippet

According to the World Health Organization, there are 17 million deaths from heart failure worldwide, with 8.7 million, or 31%, of them being caused by coronary heart disease. This disease occurs when the coronary arteries are blocked by a buildup of fat, which can lead to …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • 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
    • 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
    • G06T2207/10101—Optical tomography; Optical coherence tomography [OCT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06T2207/10132—Ultrasound image
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • 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
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image

Similar Documents

Publication Publication Date Title
Lareyre et al. A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation
Golemati et al. Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery
Budai et al. Robust vessel segmentation in fundus images
US9119559B2 (en) Method and system of generating a 3D visualization from 2D images
Latha et al. Carotid artery ultrasound image analysis: A review of the literature
Metz et al. Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach
Athanasiou et al. Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography–comparison and registration with IVUS
Cardinal et al. Fast‐marching segmentation of three‐dimensional intravascular ultrasound images: A pre‐and post‐intervention study
WO2023005069A1 (en) Ultrasonic image processing method and apparatus, and electronic device
Vard et al. An automated approach for segmentation of intravascular ultrasound images based on parametric active contour models
Hennersperger et al. Multi-scale tubular structure detection in ultrasound imaging
Wen et al. Nonlocal total-variation–based speckle filtering for ultrasound images
Jodas et al. Lumen segmentation in magnetic resonance images of the carotid artery
Shabbir et al. A comparison and evaluation of computerized methods for blood vessel enhancement and segmentation in retinal images
Moshfegh et al. Development of an innovative technology to segment luminal borders of intravascular ultrasound image sequences in a fully automated manner
Rizki et al. Active Contour-Based Analysis of Stent Characterization in Cardiac Coronary Arteries from 2D Intravascular Ultrasound Images
Ben Gharsallah et al. Phase congruency-based filtering approach combined with a convolutional network for lung CT image analysis
He et al. 3-D B-spline wavelet-based local standard deviation (BWLSD): its application to edge detection and vascular segmentation in magnetic resonance angiography
Lavin-Delgado et al. Image edge detection using fractional conformable derivatives in Liouville-Caputo sense for medical image processing
Hemmati et al. Segmentation of carotid arteries in computed tomography angiography images using fast marching and graph cut methods
Danilov et al. Efficient workflow for automatic segmentation of the right heart based on 2D echocardiography
Breier et al. Chan-Vese-segmentation of polyps in colonoscopic image data
Tung et al. Automatic detection of coronary stent struts in intravascular OCT imaging
Pawar et al. Detection and Segmentation of Kidney from Ultrasound Image Using GVF
Amarnath et al. Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization. Diagnostics. 2023; 13 (18): 2919