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Abstract #0736

Tortuosity assumption not the cause of NODDI’s incompatibility with tensor-valued diffusion encoding

Michele Guerreri1, Filip Szczepankiewicz2,3, Björn Lampinen4, Marco Palombo1, Markus Nilsson2, and Hui Zhang1
1Computer Science & Centre for Medical Image Computing, University College London, London, United Kingdom, 2Clinical Sciences Lund, Department of Radiology, Lund University, Lund, Sweden, 3Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 4Clinical Sciences Lund, Department of Medical Radiation Physics, Lund University, Lund, Sweden

This work shows that the tortuosity assumption in NODDI can not be identified as the source of incompatibility when the model is extended to data acquired with tensor-valued diffusion encoding. NODDI, originally developed for multi-shell linear tensor encoded (LTE) data, was shown to be inadequate when extended to LTE and spherical tensor encoded (STE) data jointly. The adoption of tortuosity assumption by NODDI has been suggested as a plausible explanation. We conduct a systematic model-comparison study to show that this explanation is inaccurate. We identify a different assumption of the model, the equal-axial-diffusivity, as a source of incompatibility.

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