A segmented portal vein of a porcine visualized with a volume rendered CT image.
Biomedical Image Processing
The research areas of the Biomedical Image Processing group include broad applications of image processing and analysis. The group develops methods for image segmentation, registration, post-processing, and tomography reconstruction. Lately studied medical image modalities include liver CT, pediatric skull CT, dental CT, brain MRI, and brain DT-MRI.
The largest ongoing (project kickoff in April 2013) research project entitled Go-Smart (Generic Open-end Simulation Environment for Minimally Invasive Cancer Treatment), where a methodology will be developed for simulating the outcome of minimally-invasive cancer treatments (MICT), including radiofrequency ablation, microwave ablation and cryoablation, for liver, kidney and lung tumors. The project involves medical and technical partners from Germany, Austria, The Netherlands, Finland and Ireland.
In the previous FP7 project IMPPACT, detailed liver segmentations were provided for constructing individual FEM models for simulating the RF ablation treatment of liver tumors. Smaller previous biomedical research projects include CRANIO, where methods were developed for analyzing pediatric skull CT images to assist in planning corrective craniosynostosis surgery. Previous interdisciplinary research projects include ARTEMIS-JHR, where tomography reconstruction software was developed for studying the integrity and activity of nuclear fuel in the context of the Jules Horowitz Reactor, as well as the EU FP7 project TELLUR, where FLIR thermal image processing and analysis were applied to car tire development.
- IMPPACT-SNAP, a modified version of ITK-SNAP including a deformation tool for VTK surface meshes (the software is provided as is; for more information, see related publication)
Group members[an error occurred while processing this directive]
Publications and references (click to expand/contract)
Häme, Yrjö; Pollari, Mika.
Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation.
Medical Image Analysis, 2011. In Press.
An Enhanced Version of ITK-SNAP for Preoperative Inspection and Refinement of Surface Mesh Models.
ISABEL, Barcelona, 2011. pp. 179:1-179:5.
Payne, Stephen; Flanagan, Ronan; Pollari, Mika; Alhonnoro, Tuomas; Bost, Claire; O'Neill, David; Peng, Tingying; Stiegler, Philipp.
Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours.
Philosophical transactions of the royal society a-mathematical physical and engineering sciences, 2011. Vol. 369, No. 1954, pp. 4233-4254.
Alhonnoro, Tuomas; Pollari, Mika; Lilja, Mikko; Flanagan, Ronan; Kainz, Bernhard; Muehl, Judith; Mayrhauser, Ursula;
Portugaller, Horst; Stiegler, Philipp; Tscheliessnigg, Karlheinz.
Vessel Segmentation for Ablation Treatment Planning and Simulation.
MICCAI, Beijing, 2010. pp. 45-52.
Thanellas, Antonios-Konstantinos; Pollari, Mika
Sensitivity of Volumetric Brain Analysis to Systematic and Random Errors.
IEEE CBMS 2010. Perth, 2010. pp. 238-242.
Thanellas, Antonios-Konstantinos; Pollari, Mika
Compact Review of Structural and Microstructural Brain Analysis Methods.
IEEE CBMS 2010. Perth, 2010. pp. 378-382.
Heiskala, Juha; Pollari, Mika; Metsäranta, Marjo; Grant, Ellen, P.; Nissilä, Ilkka
Probablistic atlas can improve reconstruction from optical imaging of the neonatal brain.
Optics Express, 2009. Vol. 17, pp. 14977-14992.
Häme, Yrjö; Pollari, Mika; Alhonnoro, Tuomas
Image analysis for liver tumor ablation treatment planning.
Hands-on Image Processing 2009, Bilbao, 2009. pp. 1-8.
Lilja, Mikko; Pusa, Maria
ARTEMIS (Algebraic Reconstruction for Transmission and Emission Imaging).
(1.0). Computer software. 2009.
Pusa, Maria; Lilja, Mikko
Reconstruction Methods for Transmission and Emission Tomography of Nuclear Fuel.
Espoo: VTT, 2009. 34 p. (VTT Research Report VTT-R-07511-09).
Koikkalainen, Juha; Tölli, Tuomas; Lauerma, Kirsi; Antila, Kari; Mattila, Elina; Lilja, Mikko; Lötjönen, Jyrki
Methods of Artificial Enlargement of the Training Set for Statistical Shape Models.
IEEE Transactions on Medical Imaging, 2008. pp. 1-14.
Antila, Kari; Lilja, Mikko; Kalke, Martti; Lötjönen, Jyrki
Automatic Extraction of Mandibular Bone Geometry for Anatomy-based Synthetization of Radiographs.
IEEE Engineering in Medicine and Biology Society 2008 (EMBC), Vancouver, 2008. pp. 1-4.
Fast and Accurate Voxel Projection Technique in Free-Form Cone-Beam Geometry with Application to Algebraic Reconstruction.
International Symposium on Applied Sciences in Biomedical and Communication Technologies 2008 (ISABEL), Aalborg, 2008. pp. 1-5.
Lilja, Mikko; Vuorio, Ville; Antila, Kari; Kalke, Martti; Järnstedt, Jorma; Pollari, Mika
Automatic Segmentation of the Mandible from limited-angle Dental X-ray Tomography Reconstrctions.
2007 IEEE International Symposium on Biomedical Imaging: from Nano to Macro (ISBI), Washington D.C., 2007. pp. 964-967.
Pollari, Mika; Neuvonen, Tuomas; Lilja, Mikko; Lötjönen, Jyrki
Comparative Evaluation of Voxel Similarity Measures for Affine Registration of Diffusion Tensor MR Images.
2007 IEEE International Symposium on Biomedical Imaging: from Namo to Macro (ISBI), Washington D.C., 2007. pp. 768-771.