Reconstruction and Analysis of Moving Body Organs

the awesome banner of RAMBO'16

The 2nd international workshop on Reconstruction and Analysis of Moving Body Organs has been accepted and will be held in conjunction with MICCAI'17 in Quebec, Canada. Details will follow soon.


The 1st International Workshop on Reconstruction and Analysis of Moving Body Organs (RAMBO) 2016, was held in conjunction with MICCAI, in Athens, Greece on the morning of 17th October 2016.

** Jobs Board launched **

This workshop targets researchers for whom the effects of motion are critical in image analysis or visualisation. By inviting contributions across all application areas we aim to bring together ideas from different fields without being confined to a particular methodology. In particular, the move from model-based to learning-based methods of modelling over recent years has resulted in increased transferability of techniques between domains. RAMBO provides a forum for the dissemination and discussion of novel developments related to dealing with, and taking advantage of, motion in medical imaging.

We will have two exciting keynote speakers on the day:
  • Ali Kamen (Siemens Healthineers, Medical Imaging Technologies)
  • Tom Vercauteren (Senior Lecturer, Translational Imaging Group, University College London)



** Accepted Papers **:
  • Graph-based 3D-Ultrasound reconstruction of the liver in the presence of respiratory motion. Houssem-Eddine Gueziri (Ecole de Technologie Superieure, Montreal), Sebastien Tremblay, Catherine Laporte and Rupert Brooks.
  • Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. Cagdas Ulas (Technische Universitat Munchen), Pedro A Gomez, Felix Krahmer, Jonathan I Sperl, Marion I Menzel, Bjoern H Menze.
  • Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI. Aurelien Bustin (GE Global Research, Munich), Anne Menini, Martin A. Janich, Darius Burshka, Jacques Felblinger, Anja C. S. Brau, and Freddy Odille.
  • Whole-heart single breath-hold cardiac cine: A robust motion-compensated compressed sensing reconstruction method. Javier Royuela-del-Val (Universidad de Valladolid, Spain), Muhammad Usman, Lucilio Cordero-Grande, Marcos Martin-Fernandez, Federico Simmross-Wattenberg, Claudia Prieto and Carlos Alberola Lopez.
  • Motion Correction Using Subpixel Image Registration. Amir HajiRassouliha (University of Auckland, NZ), Andrew J. Taberner, Martyn P. Nash and Poul M. F. Nielsen.
  • Point-Spread-Function-Aware Slice-To-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. Michael Ebner (University College London), Manil Chouhan, Premal A. Patel, David Atkinson, Zahir Amin, Samantha Read, Shonit Punwani, Stuart Taylor, Tom Vercauteren and Sebastien Ourselin.
  • Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images. Fangxu Xing (MGH/Harvard Medical School), Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen Stone and Jerry L. Prince.
  • Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. Rudra P K Poudel (King's College London), Pablo Lamata and Giovanni Montana.

We invite submissions on any aspect of medical imaging where motion plays a role in the image formation or analysis. Topics include, but are not limited to:
  • Cardiac, respiratory, fetal, colon, fMRI, interventional applications
  • Motion modelling (including methods to learn motion)
  • Time series analysis
  • Image registration
  • Image segmentation / classification
  • Real-time applications
  • Machine learning methods
  • Image reconstruction
  • Image enhancement (e.g. super-resolution, denoising)
  • Compressed sensing / accelerated imaging
MICCAI 2016