Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images

QR Code

Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images

Retinal blood vessels are linked with hypertension and cardiovascular disease. It is generally known that vascular bifurcation is mainly involved in varying blood flow velocity as well as its pressure. This paper presents an efficient method for automatic location of blood vessel bifurcations in dig...

Full description

Bibliographic Details
Main Authors:	Chaichana, T., Sun, Zhonghua, Barrett-Baxendale, M., Nagar, A.
Format:	Conference Paper
Published:	Springer Nature Singpore 2017
Online Access:	http://hdl.handle.net/20.500.11937/63125

Similar Items

Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
by: Aibinu, Abiodun Musa, et al.
Published: (2007)

Computational fluid dynamic analysis of calcified coronary plaques: Correlation between hemodynamic changes and cardiac image analysis based on left coronary bifurcation angle and lumen assessments
by: Sun, Zhonghua, et al.
Published: (2016)

Retinal vessel segmentation in fundus images using deep learning / Chen Chun Hui
by: Chen , Chun Hui
Published: (2021)

Investigation of the haemodynamic environment of bifurcation plaques within the left coronary artery in realistic patient models based on CT images
by: Chaichana, Thanapong, et al.
Published: (2012)

Contrast enhancement of retinal vasculature in digital fundus image
by: Ahmad Fadzil, Mohd Hani, et al.
Published: (2009)

An investigation of correlation between left coronary bifurcation angle and hemodynamic changes in coronary stenosis by coronarycomputed tomography angiography-derived computational fluid dynamics
by: Sun, Zhonghua, et al.
Published: (2017)

Hemodynamic impacts of various types of stenosis in the left coronary artery bifurcation: A patient-specific analysis
by: Chaichana, Thanapong, et al.
Published: (2013)

Determination of Foveal Avascular Zone in Diabetic Retinopathy Digital Fundus Images
by: Lila Izhar, Iznita, et al.
Published: (2010)

Blood flow dynamics in microvessel bifurcations
by: Mohamad Tharmizi, Mohamad Ehsan
Published: (2009)

Segmentation of Retinal Vasculature in Colour Fundus Images
by: Iznita , I.L., et al.
Published: (2009)

Preprocessing of fundus images for detection of diabetic retinopathy
by: Abd Aziz, Nurhakimah, et al.
Published: (2021)

Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network
by: Khalifa, Othman Omran, et al.
Published: (2015)

An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
by: Saleh, Marwan D., et al.
Published: (2011)

Lightweight generative adversarial network fundus image synthesis
by: Nurhakimah, Abd Aziz, et al.
Published: (2022)

Automatic selection of initial points for exploratory vessel tracing in fluoroscopic images
by: Boroujeni, Farsad Zamani, et al.
Published: (2011)

Blood vessels segmentation based on three retinal images datasets
by: Bilal, Sara Mohammed Osman Saleh, et al.
Published: (2016)

GLCM correlation approach for blood vessel identification in thermal image
by: Rusli, Nazreen, et al.
Published: (2019)

Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image
by: Nor Rul Hasma, Abdullah, et al.
Published: (2015)

Detection of hemorrhage and exudates in retinal fundus image of diabetic patients
by: Siti Sarah, Ahmad Mansor
Published: (2016)

Blood vessel modelling and simulation of the blood flow
by: Shi, Minjie
Published: (2014)

Blood vessels of the head and neck
by: Aung, Htar Htar
Published: (2011)

Intraoperative detection of blood vessels with an imaging needle during neurosurgery in humans
by: Ramakonar, H., et al.
Published: (2018)

Simulation of blood flow in abdominal aortic aneurysms treated with suprarenal and fenestrated stent grafts
by: Sun, Zhonghua, et al.
Published: (2008)

A new method of correcting uneven illumination problem in fundus images
by: Aibinu, Abiodun Musa, et al.
Published: (2007)

Feature extraction and description for retinal fundus image registration / Roziana Ramli
by: Roziana , Ramli
Published: (2020)

Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
by: Bilal, Sara Mohammed Osman Saleh, et al.
Published: (2014)

Kaedah pengesanan automatik salur darah retina untuk imej digital fundus
by: Nazari, Ain
Published: (2017)

An overview of retinal blood vessels segmentation
by: Jusoh , Fatimatufaridah, et al.
Published: (2016)

Hand blood vessels pattern recognition
by: Tan, Xuan Qing
Published: (2023)

Diagnostic Value of Coronary CT Angiography With Use of Left Coronary Bifurcation Angle in Coronary Artery Disease
by: Sun, Zhonghua, et al.
Published: (2016)

Area Analysis of Foveal Avascular Zone in Diabetic Retinopathy Color Fundus Images
by: Ahmad Fadzil, M Hani, et al.
Published: (2011)

Retina fundus image mask generation using pseudo parametric modeling technique
by: Aibinu, Abiodun Musa, et al.
Published: (2010)

Detection of proliferative diabetic retinopathy in fundus images using convolution neural network
by: Hasliza, Abu Hassan, et al.
Published: (2020)

Detection of vascular intersection in retina fundus
by: Iqbal, Muhammad Imran, et al.
Published: (2008)

Coronary CT Angiography in Coronary Artery Disease: Correlation between Virtual Intravascular Endoscopic Appearances and Left Bifurcation Angulation and Coronary Plaques
by: Sun, Zhonghua
Published: (2013)

Novel Automatic Eye Detection and Tracking Algorithm
by: Kamarul Hawari, Ghazali, et al.
Published: (2015)

Hemodynamic Effect of Calcifed Plaque on Blood Flow in Carotid Artery Disease: A Preliminary Study
by: Sun, Zhonghua, et al.
Published: (2009)

Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
by: Ahmad Fadzil, M. Hani, et al.
Published: (2010)

Vascular intersection detection in retina fundus images using a new hybrid approach
by: Aibinu, Abiodun Musa, et al.
Published: (2010)

Structure-preserving contrast enhancement of fundus images using dualistic Sub-Image Bi-histogram bezier curve
by: Chia, Kelvin Hiik Ling, et al.
Published: (2023)