Gabriel Addio Nketiah
Background and activities
PhD Medical Technology, NTNU - Norwegian University of Science Technology, Trondheim, 2018
MSc Biomedical Engineering, Tampere Univeristy of Technology, Finland, 2013
PGDip Multimedia Communication, Metropolia University of Applied Sciences, Finland, 2010
BSc Computer Engineering, KNUST, Ghana, 2008
Multiparametric MRI provides complementary clinical information for clinical decision making. However, harnessing the full potential of these techniques not only requires continuous optimization of the acquisition processes to improve the quality and integrity of the images, but also novel image analysis techniques that maximize the extraction of information. My research interests include image processing and quantitative MR analysis techniques (artifacts correction, texture analysis, machine learning) to improve prostate cancer diagnosis.
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2017) Geometric distortion correction in prostate diffusion-weighted MRI and its effect on quantitative apparent diffusion coefficient analysis. Magnetic Resonance in Medicine. vol. 79 (5).
- (2016) T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results. European Radiology.
- (2014) Detection of exercise load-associated differences in hip muscles by texture analysis. Scandinavian Journal of Medicine & Science in Sports.
- (2014) Correlation between hip muscles MRI texture parameters and femoral neck boneareal bone mineral density (aBMD) in different athletes groups. Physica medica (Testo stampato). vol. 30.