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Acknowledgments • The authors would like to thank the Hypertension Unit of the 2 nd Propaedeutic Dept. of Internal Medicine, Hippokration Hospital in Thessaloniki for providing the High Resolution dataset. • This work was supported in part by the European Commission under the TUMOR (FP7- ICT-2009.5.4-247754) project. Vangelis Sakkalis sakkalis@ics.forth.gr
Page 1 and 2: An Image Analysis Framework for the
Page 3 and 4: Experimental Data • Our main aim
Page 5 and 6: Pre-Processing 1/2 The green channe
Page 7 and 8: Evaluation of the Technique in LR I
Page 9 and 10: Post-Processing 2/3 Vessel width es
Page 11 and 12: User Interface Overview Semi-automa
Page 13: Future Work • Future work will be

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