Abstract #1683

Comparison of fitting methods for Non-Gaussian diffusion and IVIM MRI parameter estimation in two mice xenograft models

Yuko Someya^1,2, Mami Iima¹, Sawako Hayami³, Hirohiko Imai⁴, Hiroaki Takishima³, Denis Le Bihan^5,6, Tomomi Nobashi¹, Tsuyoshi Ohno¹, and Yuji Nakamoto¹

¹Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medi, Kyoto, Japan, ²Diagnostic Radiology, Kobe City Medical Center General Hospital, Kobe, Japan, ³Kyoto University Faculty of Medicine, Kyoto, Japan, ⁴Department of Systems science, Graduate School of Informatics, Kyoto University Graduate School of Medi, Kyoto, Japan, ⁵CEA-Saclay Center, Paris-Saclay, NeuroSpin, Gif-sur-Yvette, France, ⁶Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan

Synopsis

Keywords: Cancer, Diffusion/other diffusion imaging techniquesThe optimal fitting method (1-step or 2-step) and b-value threshold (200 or 600 s/mm²) in analyzing IVIM/diffusion data was investigated using two different mice xenograft models (breast and colon cancer). The threshold of b=600 rather than 200s/mm² was found better in these models, as many cases showed non negligible residual IVIM components left with b=200s/mm². From simulations, it appears that a too low b value threshold leads to an overestimation of ADC₀ and underestimation of K and f_IVIM .Those results suggest that the b-value threshold must be checked depending on the tissue types.

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