A framework for the objective assessment of registration accuracy
Year:
2014
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Format:
Elettronico
Referee:
Sì
Name of journal:
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING
ISSN of journal:
1687-4196
N° Volume:
2014
Page numbers:
1-11
Keyword:
Registration, Validation, Accuracy
Short description of contents:
Validation and accuracy assessment are the main bottlenecks preventing the adoption of image processing algorithms in the clinical practice. In the classical approach, a posteriori analysis is performed through objective metrics. In this work, a different approach based on Petri nets is proposed. The basic idea consists in predicting the accuracy of a given pipeline based on the identification and characterization of the sources of inaccuracy. The concept is demonstrated on a case study: intrasubject rigid and affine registration of magnetic resonance images. Both synthetic and real data are considered. While synthetic data allow the benchmarking of the performance with respect to the ground truth, real data enable to assess the robustness of the methodology in real contexts as well as to determine the suitability of the use of synthetic data in the training phase. Results revealed a higher correlation and a lower dispersion among the metrics for simulated data, while the opposite trend was observed for pathologic ones. Results show that the proposed model not only provides a good prediction performance but also leads to the optimization of the end-to-end chain in terms of accuracy and robustness, setting the ground for its generalization to different and more complex scenarios.
Francesca Pizzorni, Ferrarese; Simonetti, Flavio; Foroni, Roberto; Menegaz, Gloria,
A framework for the objective assessment of registration accuracy«INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING»
, vol. 2014
, 2014
, pp. 1-11