fMRI analysis software tools: an evaluation framework

Valentina Pedoia; Vittoria Colli; Sabina Strocchi; Cristina Vite; Elisabetta Binaghi; Leopoldo Conte

doi:10.1117/12.877067

15 March 2011 fMRI analysis software tools: an evaluation framework

Valentina Pedoia, Vittoria Colli, Sabina Strocchi, Cristina Vite, Elisabetta Binaghi, Leopoldo Conte

Proceedings Volume 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging; 796528 (2011) https://doi.org/10.1117/12.877067
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Performance comparison of functional Magnetic Resonance Imaging (fMRI) software tools is a very difficult task. In this paper, a framework for comparison of fMRI analysis results obtained with different software packages is proposed. An objective evaluation is possible only after pre-processing steps that normalize input data in a standard domain. Segmentation and registration algorithms are implemented in order to classify voxels belonging to brain or not, and to find the non rigid transformation that best aligns the volume under inspection with a standard one. Through the definitions of intersection and union of fuzzy logic an index was defined which quantify information overlap between Statistical Parametrical Maps (SPMs). Direct comparison between fMRI results can only highlight differences. In order to assess the best result, an index that represents the goodness of the activation detection is required. The transformation of the activation map in a standard domain allows the use of a functional Atlas for labeling the active voxels. For each functional area the Activation Weighted Index (AWI) that identifies the mean activation level of whole area was defined. By means of this brief, but comprehensive description, it is easy to find a metric for the objective evaluation of a fMRI analysis tools. Trough the first evaluation method the situations where the SPMs are inconsistent were identified. The result of AWI analysis suggest which tool has higher sensitivity and specificity. The proposed method seems a valid evaluation tool when applied to an adequate number of patients.

Citation Download Citation

Valentina Pedoia, Vittoria Colli, Sabina Strocchi, Cristina Vite, Elisabetta Binaghi, and Leopoldo Conte "fMRI analysis software tools: an evaluation framework", Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 796528 (15 March 2011); https://doi.org/10.1117/12.877067

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