Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2012Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer’s diseasecitations
  • 2011An MRI based workflow for prostate radiation therapy planningcitations

Places of action

Chart of shared publication
Villemagne, Victor
1 / 2 shared
Salvado, Olivier
2 / 2 shared
Xiao, Di
1 / 2 shared
Masters, Colin
1 / 2 shared
Martins, Ralph
1 / 2 shared
Chetelat, Gael
1 / 1 shared
Rueda, Andrea
1 / 1 shared
Favreau, Jean-Marie
1 / 1 shared
Szoeke, Cassandra
1 / 1 shared
Barra, Vincent
1 / 1 shared
Acosta, Oscar
1 / 1 shared
Ellis, Kathryn
1 / 1 shared
Rowe, Chris
1 / 1 shared
Gris, Florence
1 / 1 shared
Bonner, Erik
1 / 1 shared
Raniga, Parnesh
1 / 1 shared
Ames, David
1 / 2 shared
Hughes, Cynthia
1 / 1 shared
Parker, Joel
1 / 1 shared
Denham, James
1 / 1 shared
Fisher, Kristen
1 / 1 shared
Wratten, Chris
1 / 1 shared
Lau, Peter
1 / 1 shared
Capp, Anne
1 / 1 shared
Ourselin, Sebastien
1 / 10 shared
Ebert, Martin
1 / 7 shared
Lambert, Jonathon
1 / 1 shared
Patterson, Jacqueline
1 / 1 shared
Greer, Peter
1 / 1 shared
Chart of publication period
2012
2011

Co-Authors (by relevance)

  • Villemagne, Victor
  • Salvado, Olivier
  • Xiao, Di
  • Masters, Colin
  • Martins, Ralph
  • Chetelat, Gael
  • Rueda, Andrea
  • Favreau, Jean-Marie
  • Szoeke, Cassandra
  • Barra, Vincent
  • Acosta, Oscar
  • Ellis, Kathryn
  • Rowe, Chris
  • Gris, Florence
  • Bonner, Erik
  • Raniga, Parnesh
  • Ames, David
  • Hughes, Cynthia
  • Parker, Joel
  • Denham, James
  • Fisher, Kristen
  • Wratten, Chris
  • Lau, Peter
  • Capp, Anne
  • Ourselin, Sebastien
  • Ebert, Martin
  • Lambert, Jonathon
  • Patterson, Jacqueline
  • Greer, Peter
OrganizationsLocationPeople

article

An MRI based workflow for prostate radiation therapy planning

  • Hughes, Cynthia
  • Salvado, Olivier
  • Parker, Joel
  • Denham, James
  • Fisher, Kristen
  • Wratten, Chris
  • Lau, Peter
  • Capp, Anne
  • Ourselin, Sebastien
  • Ebert, Martin
  • Lambert, Jonathon
  • Fripp, Jurgen
  • Patterson, Jacqueline
  • Greer, Peter
Abstract

- Prostate radiation therapy dose planning is performed using computed tomography (CT) scan images which contain electron density information needed for patient dose calculations.- However magnetic resonance imaging (MRI) images have vastly superior soft-tissue contrast for visualising the prostate and determining the target volume for treatment. Currently MRI images can not be used for dose planning as they lack the electron density information needed. The objective of this work is to develop an alternative and efficient MRI-alone image based workflow enabling both organ delineation and dose planning to be performed using MRI images alone.- This paper describes the high precision MRI guided prostate radiotherapy collaborative project between the clinical and medical physics group at the Calvary Mater Newcastle Hospital/University of Newcastle and the biomedical image processing group at the CSIRO Australian e-Health Research Centre. This collaborative aims to develop the first feasible implementation of MRI-based prostate radiation therapy planning.- Translating to an MRI based workflow involves a number of significant research issues to be addressed, including (i) the development of software for data transfer between the clinical treatment planning system and research software platforms; (ii) methods to automatically segment organs of interest from MRI;(iii) tools to automatically assign electron density information to MR scans for radiotherapy dose calculations for treatment planning; and (iv) the automatic identification of fiducial markers from MR scans.

Topics
  • density
  • impedance spectroscopy
  • tomography