Jussi Toivonen

Jussi Toivonen
University of Turku | UTU · Department of Information Technology

MSc

About

9
Publications
650
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
194
Citations

Publications

Publications (9)
Article
Full-text available
Purpose: To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w), diffusion weighted imaging (DWI) acquired using high b values, and T2-mapping (T2). Methods: T2w, DWI (12 b values, 0-2000 s/mm2), and T2 data sets of 62 patients with...
Poster
Full-text available
We evaluated repeatability and diagnostic performance of commonly used radiomic features for prostate cancer (PCa) DWI obtained using b values up to 2000 s/mm2. Forty-eight men with diagnosed PCa under two repeated 3T MRI examinations performed on the same day. Whole mounts prostatectomy sections were manually matched with in-vivo MRI data. Fourtee...
Conference Paper
Full-text available
Eighty-one patients with historically confirmed PCa underwent two repeated 3T DWI examinations performed using 14 b-values in the range of 0-500 s/mm2 and diffusion time of 19.004 ms. Various fitting methods for IVIM and mathematical models were evaluated in the terms of fitting quality (Akaike information criteria), repeatability, and Gleason scor...
Article
Purpose: To evaluate different fitting methods for intravoxel incoherent motion (IVIM) imaging of prostate cancer in the terms of repeatability and Gleason score prediction. Methods: Eighty-one patients with histologically confirmed prostate cancer underwent two repeated 3 Tesla diffusion-weighted imaging (DWI) examinations performed using 14 b-...
Article
To evaluate the effect of b-value distribution on the repeatability and Gleason score (GS) prediction of prostate cancer (PCa). Fifty PCa patients underwent two repeated 3T diffusion weighted imaging (DWI) examinations using 12 b values in the range from 0 to 2000s/mm(2) and diffusion time of 20.3ms. Mean signal intensities of regions of interest,...
Article
Purpose: To evaluate four mathematical models for diffusion weighted imaging (DWI) of prostate cancer (PCa) in terms of PCa detection and characterization. Methods: Fifty patients with histologically confirmed PCa underwent two repeated 3 Tesla DWI examinations using 12 equally distributed b values, the highest b value of 2000 s/mm(2) . Normaliz...

Network

Cited By