Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Ardit Ramadani

Profile Picture Ardit Ramadani, M.Sc.
Research Assistant

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
  • Robotic Catheter Navigation
  • Catheter Tracking
    • Image-based Tracking
    • Electromagnetic Tracking
    • Active-element Tracking



SUPRA: Software Defined Ultrasound Processing for Real-Time Applications

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:
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

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.


  • 2018: M.Sc. in Biomedical Computing, Technische Universität München, Chair of Computer Aided Medical Procedures, Munich, Germany
    Thesis: Active Ultrasound Tool Tracking

  • 2015: B.Sc. (Hons) in Computer Science, The University of Sheffield, International Faculty CITY College, Thessaloniki, Greece
    Thesis: Annotator

Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Ardit
Lastname: Ramadani
Picture: ArditRamadani.jpg
Birthday: 1994/07/01
Nationality: Kosovo
Languages: English, German, Albanian
Groups: Registration/Visualization, Segmentation, Medical Imaging, Computer-Aided Surgery, IFL, Ultrasound, DHM
Expertise: Registration/Visualization, Segmentation, Medical Imaging, Sensing
Position: Scientific Staff
Status: Active
Emailbefore: ardit.ramadani
Room: IFL/DHM (L60-005)
Telephone: +49 89 4140 6457

Edit | Attach | Refresh | Diffs | More | Revision r1.21 - 11 Nov 2020 - 10:59 - ArditRamadani

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