Towards a diffusion image processing validation and accuracy prediction framework

Details

Ressource 1Download: BIB_E6CA28143AA1.P001.pdf (1124.28 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_E6CA28143AA1
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Towards a diffusion image processing validation and accuracy prediction framework
Title of the conference
ICIP 2011, 18th IEEE International Conference on Image Processing
Author(s)
Pizzorni Ferrarese F., Daducci A., Bach Cuadra M., Lemkaddem A., Granziera C., Thiran J.P., Menegaz G.
Address
Brussels, Belgium, September 10-14, 2011
ISBN
1522-4880
Publication state
Published
Issued date
2011
Series
Proceedings of the International Conference on Image Processing
Pages
2269-2272
Language
english
Abstract
Validation is the main bottleneck preventing theadoption of many medical image processing algorithms inthe clinical practice. In the classical approach,a-posteriori analysis is performed based on someobjective metrics. In this work, a different approachbased on Petri Nets (PN) is proposed. The basic ideaconsists in predicting the accuracy that will result froma given processing based on the characterization of thesources of inaccuracy of the system. Here we propose aproof of concept in the scenario of a diffusion imaginganalysis pipeline. A PN is built after the detection ofthe possible sources of inaccuracy. By integrating thefirst qualitative insights based on the PN withquantitative measures, it is possible to optimize the PNitself, to predict the inaccuracy of the system in adifferent setting. Results show that the proposed modelprovides a good prediction performance and suggests theoptimal processing approach.
Open Access
Yes
Create date
29/11/2011 16:40
Last modification date
20/08/2019 16:09
Usage data