Senn, NicholasMasannat, YazanHusain, EhabSiow, BernardHeys, Steven D.He, Jiabao2019-10-012019-10-012019-09Senn, N, Masannat, Y, Husain, E, Siow, B, Heys, S D & He, J 2019, 'q-Space Imaging Yields a Higher Effect Gradient to Assess Cellularity than Conventional Diffusion-weighted Imaging Methods at 3.0 T : A Pilot Study with Freshly Excised Whole-Breast Tumors', Radiology: Imaging Cancer, vol. 1, no. 1, e190008. https://doi.org/10.1148/rycan.2019190008ORCID: /0000-0002-5895-5059/work/63244232ORCID: /0000-0002-3204-3115/work/67725431ORCID: /0000-0001-7794-7188/work/76976023PubMedCentral: PMC7983771http://hdl.handle.net/2164/13047N.S. supported by Biotechnology and Biological Sciences Research Council (1654748, BB/M010996/1). Study supported by the National Health Service Grampian Endowment Fund (15/1/052).516177engq-space imaging (QSI)monoexponential model (MONO)stretched exponential model (SEM)diffusion kurtosis imaging (DKI)tumor heterogeneityR Medicine (General)Biotechnology and Biological Sciences Research Council (BBSRC)BB/M010996/11654748Supplementary DataR1q-Space Imaging Yields a Higher Effect Gradient to Assess Cellularity than Conventional Diffusion-weighted Imaging Methods at 3.0 T : A Pilot Study with Freshly Excised Whole-Breast TumorsJournal article10.1148/rycan.2019190008https://pubs.rsna.org/page/openaccess11