Abstract #2703
Identifying perfused tissue regions through IVIM and ADC model comparison: technical validation
Damien J McHugh1,2, Michael J Dubec1,2, James Price2,3, Chris Moore1, David L Buckley1,4, James P. B. O'Connor2,5,6, David J Thomson3, and Andrew McPartlin3
1Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom, 2Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom, 3Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 4Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 5Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 6Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
Synopsis
Intravoxel incoherent motion (IVIM) can provide information about tissue perfusion in tumours and organs at risk, but the model may not be applicable in all voxels in a region of interest. Here, a model comparison framework is developed, based on comparing IVIM and apparent diffusion coefficient model fits, aiming to identify perfused voxels and quantify the proportion of tissue containing a perfusion component, pIVIM. Technical validation of the framework is performed, with simulations and phantom data showing that SNR and diffusion properties can bias pIVIM, while in vivo parotid gland data show that pIVIM exhibits good repeatability.
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