Literature DB >> 22255067

VAMPIRE: Vessel assessment and measurement platform for images of the REtina.

A Perez-Rovira1, T MacGillivray, E Trucco, K S Chin, K Zutis, C Lupascu, D Tegolo, A Giachetti, P J Wilson, A Doney, B Dhillon.   

Abstract

We present VAMPIRE, a software application for efficient, semi-automatic quantification of retinal vessel properties with large collections of fundus camera images. VAMPIRE is also an international collaborative project of four image processing groups and five clinical centres. The system provides automatic detection of retinal landmarks (optic disc, vasculature), and quantifies key parameters used frequently in investigative studies: vessel width, vessel branching coefficients, and tortuosity. The ultimate vision is to make VAMPIRE available as a public tool, to support quantification and analysis of large collections of fundus camera images.

Mesh:

Year:  2011        PMID: 22255067     DOI: 10.1109/IEMBS.2011.6090918

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  27 in total

1.  Accurate and reliable segmentation of the optic disc in digital fundus images.

Authors:  Andrea Giachetti; Lucia Ballerini; Emanuele Trucco
Journal:  J Med Imaging (Bellingham)       Date:  2014-07-14

2.  Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity.

Authors:  Faraz Oloumi; Rangaraj M Rangayyan; Anna L Ells
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-15

3.  Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.

Authors:  Jaemin Son; Sang Jun Park; Kyu-Hwan Jung
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

4.  Modulation of retinal image vasculature analysis to extend utility and provide secondary value from optical coherence tomography imaging.

Authors:  James R Cameron; Lucia Ballerini; Clare Langan; Claire Warren; Nicholas Denholm; Katie Smart; Thomas J MacGillivray
Journal:  J Med Imaging (Bellingham)       Date:  2016-05-02

5.  Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation.

Authors:  Rengarajan Pelapur; V B Surya Prasath; Filiz Bunyak; Olga V Glinskii; Vladislav V Glinsky; Virginia H Huxley; Kannappan Palaniappan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio.

Authors:  Sufian A Badawi; Muhammad Moazam Fraz; Muhammad Shehzad; Imran Mahmood; Sajid Javed; Emad Mosalam; Ajay Kamath Nileshwar
Journal:  J Digit Imaging       Date:  2022-01-10       Impact factor: 4.056

7.  The RETA Benchmark for Retinal Vascular Tree Analysis.

Authors:  Xingzheng Lyu; Li Cheng; Sanyuan Zhang
Journal:  Sci Data       Date:  2022-07-11       Impact factor: 8.501

8.  Concordance between SIVA, IVAN, and VAMPIRE Software Tools for Semi-Automated Analysis of Retinal Vessel Caliber.

Authors:  Thibaud Mautuit; Pierre Cunnac; Carol Y Cheung; Tien Y Wong; Stephen Hogg; Emanuele Trucco; Vincent Daien; Thomas J MacGillivray; José Labarère; Christophe Chiquet
Journal:  Diagnostics (Basel)       Date:  2022-05-25

9.  Multiquadric Spline-Based Interactive Segmentation of Vascular Networks.

Authors:  Sachin Meena; V B Surya Prasath; Yasmin M Kassim; Richard J Maude; Olga V Glinskii; Vladislav V Glinsky; Virginia H Huxley; Kannappan Palaniappan
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2016-08

10.  Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis.

Authors:  Esra Ataer-Cansizoglu; Veronica Bolon-Canedo; J Peter Campbell; Alican Bozkurt; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Samir Patel; Karyn Jonas; R V Paul Chan; Susan Ostmo; Michael F Chiang
Journal:  Transl Vis Sci Technol       Date:  2015-11-30       Impact factor: 3.283

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