Lucas M da Costa1, Bruno Hebling Vieira1, Renata Ferranti Leoni1, and Andre Monteiro Paschoal1,2
1InBrain Lab - University of Sao Paulo, Ribeirao Preto, Brazil, 2LIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
1InBrain Lab - University of Sao Paulo, Ribeirao Preto, Brazil, 2LIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
The fitting of IVIM data is a crucial step in IVIM data processing. The non-negative least square model is an interesting alternative which does not require prior information on the number of components of the total signal. Adding the Gaussian mixture to the model makes it a more robust analysis.
Figure 1: IVIM processing scheme. Gaussian curve associated with the diffusion peak (blue), pseudo-diffusion peak (yellow), and a third peak obtained with the Gaussian Mixture (green).
Figure 3: Comparison of the Gaussian Mixture with the traditional method (find peaks) for two patients with glioma. The green arrow shows the region that we can see a contrast of the tumor in the pseudo-diffusion image.