Meeting Banner
Abstract #0343

Pathological Tissue Classification by Multiparametric MRI: Technical Development & Application in Renal Masses Characterisation.

Rado Andriantsimiavona1, Dow-Mu Koh1, David Collins1, Simon Doran1, Martin Leach1

1Institute of Cancer Research UK, Sutton, London, United Kingdom

We have developed an interactive framework that allows spatially synchronised 3D visualisation and analysis of anatomical, diffusion-weighted and dynamic contrast enhanced MR data in multi-planar orientations and used it to establish correlations between parametric maps derived from MRI (ADC and AUC) and the corresponding characteristics measured from paired histological sections. Our aim is to provide biologically meaningful interpretations of multiparametric analysis as well as build a computer aided tissue classification scheme for the RCC model.

Abstract PDF Presentation Video

Keywords

advanced aggressive aided aims align allowed anatomical arise automate automatically axes benefits better biological biologically biology biomedical biopsy brought cancer carcinoma carried cell characterization class classes classification classified coded coefficient combination combinations combining computed concentration contrast correlations corroborated cortex criteria datasets derived described determined diffusion displayed distributions double dynamic enabled england enhanced enhancement establish evaluation example excision exploration explore exponential expression findings forward framework funding fuzzy global grades hand helping histology included initial interactive interpretation interpretations invasive joint kidney lack lesions long malignancy mapped maps martin mass masses matched matching materials meaningful measured measures merged metastases metastasis methodology mismatch moreover necrosis observations onset orange orientations overlap parametric particular pathological pathology patient patients physiological plots post preliminary probing processing progression quantitative radiological radiology renal represent researchers response role samples sampling scanned scatter scheme sections simplifies slices software solid space spatially studies suggesting technical ternary tissue tissues towards treatment understand valuable viable virtual