Image-Guided Adaptive Radiation Therapy (IGART)


  • IGART proceedings
  • Location: Stata Center at MIT, room number 32-124 (ground floor)
  • Workshop program posted
  • List of accepted papers posted
  • Deadline extension to June 20, 2014! 


We gladly announce the workshop for Image-Guided Adaptive Radiation Therapy (IGART), which is held in conjunction with the Medical Image Computing and Computer Assisted Interventions (MICCAI) conference ( in Boston/USA. The workshop aims at presenting leading edge applications of medical image processing in the field of radiotherapy. The workshop provides an invaluable opportunity to present and discuss recent and preliminary research in this exciting field, in addition to providing a good forum to get constructive feedback from fellow researchers on more developed pieces of work.

The workshop will consist of two parts. The first, longer part will be a series of oral presentations by invited experts in the field and authors of the submitted papers accepted for presentation, where the participants learn about relevant novel algorithms, methods and software toolkits. The second, shorter part will consist of a software demo featuring selected open-source software toolkits supporting IGART research workflows. The participants will have the opportunity to reproduce the steps of the demonstration on their own laptop computers.

The workshop is scheduled for Sunday, September 14, 2014. Feel free to contact us at

Call for papers

Workshop Program


Opening remarks


Registration & Visualization

Jan Ehrhardt and Heinz Handels

Motion Estimation in Artifact-Affected 4D CT Images Using Temporal Consistent Model-based Registration with Local Adaptive Weights

Hugo Furtado, Tracy Underwood, Tom Depuydt, Markus Stock, Dietmar Georg and Wolfgang Birkfellner

Validation of real-time intensity based 2D/3D registration for image guided radiotherapy

Miro Jurisic, Tobias Fechter, Frida Hauler, Hugo Furtado, Ursula Nestle and Wolfgang Birkfellner

Segmentation assisted Registration

Frida Hauler, Miro Jurisic, Hugo Furtado, Umberto Sabatini, Anne Laprie, Ursula Nestle and Wolfgang Birkfellner

Automatic accuracy measurement for multi-modal rigid registration using feature descriptors

Dohyung Seo and Jeroen van Baar

Deformable Registration with Discontinuity Preservation using Multi-Scale MRF

Matthias Schlachter, Tobias Fechter, Ursula Nestle and Katja Bühler

Visualization of 4D-PET/CT, Target Volumes and Dose Distribution: Applications in Radiotherapy Planning


Coffee break


Keynote: Greg Sharp



Patrik Raudaschl, Karl Fritscher, Paolo Zaffino, Gregory Sharp, Maria Francesca Spadea and Rainer Schubert

A novel atlas-selection approach for multi-atlas based segmentation using the correlation of inter-atlas similarities

Karl Fritscher, Patrik Raudaschl, Paolo Zaffino, Gregory Sharp, Maria Francesca Spadea and Rainer Schubert

Atlas selection for multi-atlas based segmentation using image patch models

Christian Wachinger, Matthew Brennan, Greg Sharp and Polina Golland

On the Importance of Location and Features for the Patch-Based Segmentation of Parotid Glands


Lunch break


Treatment Planning &

Image Guidance

Christian Weber, Michael Götz, Bram Stieltjes, Joanna Polanska, Rafal Tarnawski, Franciszek Binczyk, Barbara Bobek-Billewicz and Klaus Maier-Hein

Brain Tumor Progression Modeling - A Data Driven Approach

Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth Gerstner, Helen Shih, Tracy Batchelor, Jan Unkelbach and Nicholas Ayache

Multimodal Analysis of Vasogenic Edema in Glioblastoma Patients for Radiotherapy Planning

Pascal Hauri, Alessandra Bolsi, Francesca Albertini, Damien C. Weber and Antony J. Lomax

A method for adaptive proton therapy for nasal cavity treatments

Abdelkhalek Hammi, Francesca Albertini, Marta Peroni, Safai Sairos and Tony Lomax

Range Probe: a new technique to detect on-line patient misalignments

Nathan Cho, John Wong and Peter Kazanzides

Dose Painting with a Variable Collimator for the Small Animal Radiation Research Platform (SARRP)

Shandra Gutierrez Diaz, Roel van Holen, Benedicte Descamps, Nathalie Van Den Berge and Christian Vanhove

Pseudo-­CT generation from multiple MR images for small animal irradiation


Coffee break


Demos & Tutorials

CERR - Aditya Apte 

MITK – Andreas Fetzer

SARRP – Nathan Cho

SlicerRT – Csaba Pinter

Outline and scope

Cancer is a leading cause of death worldwide. One of the most common types of cancer treatment is radiation therapy. Given the non-invasive nature of radiotherapy, images and image computing form the basis for radiation therapy. Examples range from pre-treatment delineation of the target region to intra- treatment tracking of tissue motion and deformation. Thus, the workshop presents an interesting forum for researchers from the MIC and CAI parts of the community. The applications in radiation therapy have frequently been a driving force in the development of new image computing algorithms. 

Tumors treated with radiotherapy are typically located in the cervical, thoracic and pelvic regions, as well as, the brain. The processing commonly requires the registration and segmentation of images. Registration is used for motion estimation and positioning, as well as for supporting atlas-based segmentation. The segmentation of the tumor region and organs at risk is important for the creating the radiation plan and monitoring the administered dose. A variety of image modalities can be involved in this processing, e.g. CT (kV, MV, cone-beam), PET, MR, DTI, and OCT. Next to algorithmic novelties, also submissions describing recent software toolkits are welcome. 


Submission of manuscripts: June 20, 2014 (June 13, 2014)
Notification of acceptance: July 7, 2014
Camera-ready papers: July 28, 2014
Early bird registration: August 1, 2014 


We accept submissions ranging from extended abstract (2 pages) to full papers (8 pages) in PDF format. The review is single-blind, so please list the authors with their affiliations on the submission. The submission system is closed.  

Organizing committee

Wolfgang Birkfellner 
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria and 
Christian-Doppler Laboratory for Medical Radiation Research for Radiation Oncology

Gregory C. Sharp
Massachusetts General Hospital and Harvard Medical School

Christian Wachinger 
Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory
Massachusetts General Hospital and Harvard Medical School

Csaba Pinter 
Laboratory for Percutaneous Surgery, School of Computing, Queen’s University