Academy of Finland  
Funding decision
Organisation University of Turku
Project title Open source development and validation of radiomic methods for multi-institutional diagnosis of prostate cancer using Magnetic Resonance Imaging, Position Emission Tomography, digital pathology, tissue and blood biomarkers
Applicant / Contact person Merisaari, Harri
Decision No. 342649
Decision date 03.06.2021
Funding period 01.09.2021 - 31.08.2024
Funding 251 050
Project description
This research project aims to develop and validate novel techniques utilizing radiomics in repeatable and reproducible manner, and subsequent machine learning techniques for non-invasive characterization of tissue microstructure using magnetic resonance imaging (MRI). Usefulness of the developed methodologies are demonstrated in practice in two fields of application: Prostate cancer and neuroscience. We develop novel machine learning methods specifically tailored for fast prostate MRI acquisition, and evaluate conventional and novel MRI sequences. In brain, we evaluate repeatability together with potential biases due to MRI artefacts to find optimal MRI acquisition and post-processing protocols, subject drop-out rate, and accuracy/precision for discovery of novel neurodevelopmental findings.