Ardit Ramadani

Ardit Ramadani, M.Sc. Research Assistant E-Mail: E-Mail: Deutsches Herzzentrum München des Freistaates Bayern Klinik an der Technischen Universität München Lazarettstr. 36 80636 München Room: Building Laz60 - EG-005 Phone: +49 89 1218 2525 Klinikum Rechts der Isar Interdisziplinäres Forschungslabor Ismaningerstr. 22 81675 München Room: Building 501 - 01.01.3a-c Phone: +49 89 4140 6457 Technische Universität München Fakultät für Informatik Computer Aided Medical Procedures & Augmented Reality - I16 Boltzmannstr. 3 85748 Garching b. München Room: MI 03.13.060 Phone: +49 89 289 19437

Research Interests

• Ultrasound
• Catheter Tracking
  • Image-based Tracking
  • Electromagnetic Tracking
  • Active-element Tracking
  • Shape Sensing
  • Hybrid Tracking

Teaching

• Praktikum Project Management and Software Development for Medical Applications (2021WiSe)
• Lecture Image Guided Surgery (2021SoSe)
• Praktikum Project Management and Software Development for Medical Applications (2021SoSe)
• Lecture Image Guided Surgery (2020WiSe)
• Praktikum Project Management and Software Development for Medical Applications (2020WiSe)
• Praktikum Project Management and Software Development for Medical Applications (2020SoSe)

Curriculum Vitae

• Education
  • April 2019 - current: PhD candidate in Informatics at Technische Universität München, Chair of Computer Aided Medical Procedures, Munich, Germany.
  • October 2015 - October 2018: Master in Biomedical Computing at Technische Universität München, Chair of Computer Aided Medical Procedures, Munich, Germany.
  • October 2012 - June 2015: Bachelor (Hons) in Computer Science at The University of Sheffield, International Faculty CITY College, Thessaloniki, Greece.
• Employment
  • September 2020 - current: Research Assistant at Deutsches Herzzentrum München des Freistaates Bayern, Klinik an der Technischen Universität München, Munich, Germany.
  • July 2019 - September 2020: Research Assistant at Technische Universität München, Chair of Computer Aided Medical Procedures, Munich, Germany.

Projects

SUPRA: Software Defined Ultrasound Processing for Real-Time Applications SUPRA is an open-source pipeline for fully software defined ultrasound processing for real-time applications. Covering everything from beamforming to output of B-Mode images, SUPRA can help to improve the reproducibility of results and does allow for a full customization of the image acquisition workflow. Including all processing stages of a common ultrasound pipeline, it can be executed in 2D and 3D on consumer GPUs in real-time. Even on hardware as small as the CUDA enabled Jetson TX2, SUPRA allows for 2D imaging in real-time. You can access the code on our github page: https://github.com/IFL-CAMP/supra Additional information can be found in our work on SUPRA Göbl, R. and Navab, N. and Hennersperger, C., SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time Applications, eprint arXiv:1711.06127, Nov 2017, under review for IPCAI2018 The development of SUPRA was partly funded by the European Horizon 2020 Project EDEN2020.

EDEN2020: Enhanced Delivery Ecosystem for Neurosurgery EDEN2020 (Enhanced Delivery Ecosystem for Neurosurgery) aims to develop the gold standard for one-stop diagnosis and treatment of brain disease by delivering an integrated technology platform for minimally invasive neurosurgery. A team of first-class industrial partners (Renishaw plc. and XoGraph ltd.), leading clinical oncological neurosurgery team (Università di Milano, San Raffaele and Politecnico di Milano) lead by Prof. Lorenzo Bello and the involvement of leading experts in shape sensing (Universitair Medisch Centrum Groningen) under supervision of Prof. Dr. Sarthak Misra The project is coordinated by Dr. Rodriguez y Baena, Imperial College London. His team provides the core technology for the envisioned system, the bendable robotic needle. During the course of EDEN2020 this interdisciplinary team will work on the integration of 5 key concepts, namely (1) pre-operative MRI and diffusion-MRI imaging, (2) intra-operative ultrasounds, (3) robotic assisted catheter steering, (4) brain diffusion modelling, and (5) a robotics assisted neurosurgical robotic product (the Neuromate), into a pre-commercial prototype which meets the pressing demand for better and less invasive neurosurgery. Our chair will be focusing on the imaging components (i.e. (1) and (2)), targeting the realtime compensation of tissue movement and accurate localization of the flexible catheters at hand. We will further extend the findings of FP7 ACTIVE, in which we successfully combined pre-operative MRI with intra-operative US through deformable 3D-2D registration, making us most qualified for this role.

Student projects

Please feel free to contact me via e-mail if you are interested in Master/Bachelor/IDP projects in the field of catheter tracking.

Publications