Selected Publications

Purpose: Thinning of cartilage is a common manifestation of osteoarthritis. This study addresses the need of measuring the focal femoral cartilage thickness at the weight bearing regions of the knee by developing a reproducible and automatic method from MR images. Methods: 3D models derived from semi-automatic MR image segmentations were used in this study. Two different methods were examined for identifying the mechanical loading of the knee articulation. The first was based on a generic weight bearing regions definition, derived from gait characteristics and cadaver studies. The second used a physically based simulation to identify the patient-specific stress distribution of the femoral cartilage, taking into account the forces and movements of the knee. For this purpose, four different scenarios were defined in our 3D finite element (FE) simulations. The radial method was used to calculate the cartilage thickness in stress-based regions of interest and a study was performed to validate the accuracy and suitability of the radial thickness measurements. Results: Detailed focal maps using our simulation data and regional measurements of cartilage thickness are given. We present the outcome of the different simulation scenarios and discuss how the internal/external rotations of the knee alter the overall stress distribution and affect the shape and size of the calculated weight bearing areas. The use of FE simulations allows for a patient-specific calculation of the focal cartilage thickness. Conclusions: It is important to assess the quantification of focal knee cartilage morphology to monitor the progression of joint diseases or related treatments. When this assessment is based on MR images, accurate and robust tools are required. In this paper we presented a set of techniques and methodologies in order to accomplish this goal and move toward personalized medicine.
In International Journal of Computer Assisted Radiology and Surgery, DOI:10.1007/s11548-015-1257-3, 2015.

The developed application is a first attempt towards a web-based Computer Aided Diagnosis (CAD) system. It has the following basic functionalities: a) Uploading patient studies (MRI exams, image segmentations, 3D models etc.) exported from other software like RheumaSCORE, b) browsing and visualizing the results of these patient studies, c) displaying diagnostic measurements and comparisons between them, d) searching and downloading patient studies, e) system administration and user management.
For the visualization of medical data i.e. 3D models and 2D images from MRI exams, the XTK WebGL Javascript framework was used.
ZK Case Study, DOI: 10.13140//2.1.2139.0723, 2014.

Recent Publications

More Publications

. Building the Basis for Patient-Specific Meniscal Scaffolds. In Bio-orthopaedics: A New Approach, DOI: 10.1007//978-3-662-54181-4_32, 2017.


. 3D segmentation of intervertebral discs: from concept to the fabrication of patientspecific scaffolds. In Journal of 3D Printing in Medicine, DOI: 10.2217/3dp-2016-0011, 2017.


. Building the Basis for Patient-Specific Meniscal Scaffolds: From Human Knee MRI to Fabrication of 3D Printed Scaffolds. In Bioprinting Journal, DOI: 10.1016/j.bprint.2016.05.001, 2016.

PDF Project

. A database of segmented MRI images of the wrist and the hand in patients with rheumatic diseases. In ICIAP 2015: New Trends in Image Analysis and Processing, DOI: 10.1007//978-3-319-23222-5_18, 2015.


. Automatic measurement and visualization of focal femoral cartilage thickness in stress-based regions of interest using three-dimensional knee models. In International Journal of Computer Assisted Radiology and Surgery, DOI:10.1007/s11548-015-1257-3, 2015.

PDF Project Video Project web site

. The pipeline from CAD to virtual reality in VISIONAIR project. In Proc. of 44 Jahrestagung der Gesellschaft für Informatik (INFORMATIK 2014: Big Data - Komplexitat meistern), 2014.

PDF Project

. Knowledge management in medicine: A framework to organize, browse and retrieve medical data. In Proc. of 7th International Conference on Health Informatics (HEALTHINF 2014), DOI: 10.5220//0004867603740380, 2014.

PDF Project

. Smart Brush: a real time segmentation tool for 3D medical images. In Proc. of 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), DOI: 10.1109/ISPA.2013.6703826, 2013.

PDF Project



MultiScaleHuman is a Marie Curie Initial Training Network project within EU’s FP7. The goal of MultiScale Biological modalities for physiological Human articulation (MultiScaleHuman) is to research by training a new generation of early stage researchers and experienced researchers in the creation of a multi-scale biological data visualization and knowledge management system for improved understanding, diagnosis and treatment of physiological human articulation. MultiScaleHuman narrows its ambitious research towards a very important and challenging healthcare problem: musculoskeletal diseases (MSD) and related disorders.


VISIONAIR is a FP7 Infrastructure project. It calls for the creation of a European infrastructure for high level visualisation facilities and resources that will be open to research communities across Europe and around the world. Both physical access and virtual services will be provided by the infrastructure.


FOCUS K3D is a FP7 Coordination and Support Action project. The aim of FOCUS-K3D is to foster the comprehension, adoption and use of knowledge intensive technologies for the analysis and production of 3D media.


AIM@SHAPE is a FP6 Network of Excellence. The mission of AIM@SHAPE was to advance research in the direction of semantic-based shape representations and semantic-oriented tools to acquire, build, transmit, and process shapes with their associated knowledge.


AVDMERGE aimed at the development of new pedagogical frameworks, a knowledge base of organized expert and collective end user knowledge on best practices, technical advice, and didactical methodologies, and e-Learning programs targeting teaching staff on the effective integration of Audio-Video and Data (AVD) communication in the teaching process.


ARION is aiming to provide a new generation of Digital Library services for the searching and retrieval of digital scientific collections that reside within research and consultancy organizations. ARION advances the findings of previous studies in this area and consolidates the work of international interoperability standard development to provide a system that is complementary to established scientific practices in these organizations. ARION will be a federated open system and will be developed in association with national data providers, scientific researchers and SMEs.


Teaching instructor/co-lecturer/guest lecturer for the following courses at the Computer Science Department, University of Crete:

Teaching assistant for the following courses:

  • CS431/CS614 Semantic Web and Information Systems, Computer & Communication Engineering Department, University of Thessaly (Spring semester 2009-2010 & 2008–2009 & 2006–2007 & 2005-2006)
  • CS204 Probabilities, Computer & Communication Engineering Department, University of Thessaly (Fall semester 2008-2009 & 2007-2008 & 2006-2007 & 2005-2006 & 2004-2005)
  • CS428 Advanced Topics in Databases, Computer & Communication Engineering Department, University of Thessaly (Fall semester 2004 - 2005)
  • MATH237 Numerical Linear Algebra, Mathematics Department, University of Crete (Fall semester 1996-1997)
  • MATH231 Numerical Analysis, Mathematics Department, University of Crete (Spring semester 1995-1996)

Secondary Education Informatics Teacher (Sept. 2006 – Oct. 2017)

  • Courses: Programming (Python, Java/Green Foot, Pascal), Web programming and web site development, Android application development with AppInventor, Basic principles of digital technologies and Computer Science, Databases, Operating Systems, Introduction to microelectronics and sensors with Arduino.