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Biomedical Image Technologies Lab

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Biomedical Image Technologies Lab

  1. 1. http://www.die.upm.es/im/ BIOMEDICAL IMAGE TECHNOLOGIES LAB Universidad Politécnica de Madrid CIBER-BBN
  2. 2. Background • Universidad Politécnica de Madrid: the largest and oldest technical university in Spain – ~ 50,000 students • Telecommunication Eng. School (ETSI Telecomunicación) – ~ 4,000 students • Electronic Engineering Dept.
  3. 3. Introduction Vision: Contribute to improve health care delivery through advances in biomedical imaging technologies. Mission: The application of technological solutions to actual clinical or biological problems, especially with the aim of early diagnosis and treatment. • Director: Prof. Andres Santos  2 Associate Professors (María J Ledesma Carbayo, Georgios Kontaxakis)  8 Researchers (4 PhD)  4 PhD students  1 Technician Ranked 2nd (2006) and 4th (2007) among UPM emerging groups: 1st in research dissemination (publications)
  4. 4. Research Activities
  5. 5. Cardiovascular imaging AIM: to contribute to an early diagnosis of cardiovascular pathologies, by providing functional and quantitative information of the heart and vessels obtained from images (mainly echocardiography, MRI and CT). Hospital G.U. Gregorio Marañón. Madrid. National Institutes of Health. Bethesda (MD, USA) Johns Hopkins Univ. (MD, USA) Siemens – Acuson (CA, USA)
  6. 6. Myocardial Motion Estimation Dense Displacement Field Bspline non-rigid registration 2 3 Regional Analysis • Displacement • Velocity • Strain Analysis of cardiac dynamics Ledesma-Carbayo. IEEE T Med Imag, 2005. Ledesma-Carbayo. Ultrasound Med Biol, 2006
  7. 7. Maps of Anterior Infarct. Relation between Voltage and Signal Intensity Mapping 7 Endocardial DE-MRI map Electroanatomical Map (CARTO ®)Perez-David. J. Am. Coll. Cardiol, 2011 Arenal. Cardiovasc. Res., 2012
  8. 8. High Resolution Pre-clinical Imaging AIM: to contribute to the design and implementation of high resolution experimental Positron Emission Tomography (PET) scanners. A new research line has been started on Optical Tomography. Hospital G.U. Gregorio Marañón. Madrid. SEDECAL (SUINSA). Spain Università di Pisa (Italy)
  9. 9. PETonCHIP Concept Event and coincidence resolution in single FPGA Guerra. IEEE Trans Nucl Sci, 2008
  10. 10. Iterative reconstruction120º 120º Simulation of other architectures Simulation and tomographic reconstruction Ortuño. Phys. Med. Biol., 2010 Sportelli. Med. Phys., 2013 Sportelli. Phys. Med. Biol., 2014
  11. 11. Image-guided radiotherapy and dosimetry AIM: to contribute to the radiotherapy planning, dosimetry and surgery planning by means of image registration, image segmentation and MC simulations. GMV Soluciones Globales Internet. Spain Hospital G.U. Gregorio Marañón. Madrid.
  12. 12. Multimodality Imaging Image guided liver surgery (Hosp. G. Marañón) Visualization of anatomy and metabolic activity Analysis of MRI dynamic studies (Universitat Autònoma Barcelona) Multimodal brain image analysis (Hosp. Clínic Barcelona) Marti-Fuster. Neuroinformatics, 2013 Ortuño. BMC Bioinformatics, 2013 Fernandez-de-Manuel. Med. Image Anal., 2014
  13. 13. www.MalariaSpot.org 14 Crowdsourcing and gamification
  14. 14. Microscopy Image Analysis for Systems BiologyAIM: to develop image analysis methods to process data acquired with the most recent state-of-the-art microscopy technologies for biomedical understanding. Multidimensional in-vivo observations of organism models such as zebrafish embryo need images analysis to solve new challenges in systems biology at the different genetic, proteomic, cellular, organic and individual levels. Institut de Neurobiologie Alfred Fessard - CNRS, France Complex Systems Institute of Paris (ISC-PIF), France Spanish National Center of Biotechnology (CSIC-CNB), Spain
  15. 15. In-toto reconstruction of early zebrafish embryogenesis OUTCOME: DIGITAL EMBRYO Olivier, Luengo-Oroz, Duloquin. Science, 2010 Rubio-Guivernau. Bioinformatics, 2012 Luengo-Oroz. IEEE Trans. Image Process,
  16. 16. Gene atlas of zebrafish embryo development Data 1 GENE X NUCLEI GENE A Data 2 GENE X NUCLEI GENE B Data N GENE X NUCLEI GENE N PARTIAL EMBRYOS COMPLETE EMBRYO TEMPLATE NUCLEI GENE X QUANTIFICATION QUANTITATIVE 3D ATLAS OF GENE EXPRESSION – The extraction of both the cellular localizations and the level of expression of different genes at different developmental stages will help the understanding of genetic regulatory networks in their spatiotemporal context – Acquired images of pairs of gene expressions with double Fluorescent In-Situ Hybridization protocols (FISH) REGISTRATION
  17. 17. Embryo and cell dynamics Institut de Neurobiologie Alfred Fessard - CNRS, France Complex Systems Institute of Paris (ISC-PIF), France Spanish National Center of Biotechnology (CSIC-CNB), Spain Universidad Carlos III, Spain University of California San Diego, US 3D TFM
  18. 18. e1 90% Epiboly Bud Shield Growing Epiboly 75% EpibolyQ P PDensity TopologyVelocity 6h 7h 8h 9hQ Topology Planar Compression Velocity Velocity 10hPRotation Topologye1 Total Inc Strain e1 e1 de1 de1 de1 Velocity
  19. 19. www.itd.upm.es itd@upm.es @itdupm itdupm

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