This poster is published under an
open license. Please read the
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Keywords:
Computer applications, Oncology, eHealth, MR-Diffusion/Perfusion, MR-Functional imaging, Computer Applications-Detection, diagnosis
Authors:
G. C. Manikis1, K. Nikiforaki1, N. Papanikolaou2, C. Matos2, K. Marias1; 1Heraklion/GR, 2Lisbon/PT
DOI:
10.1594/ecr2017/C-2835
Results
A single or longitudinal analysis can be displayed using parametric maps for all model related parameters (ADC,
f,
D,
D*,
fxD,
fxD*,
and K) in a pixel-by-pixel basis (Fig. 2).
All studies are coupled with evaluation criteria based on b-value specific SNR maps. The minimum and maximum value of the desired metric can also be adjusted by the user,
as well as the tolerance of the fitting algorithm in order to deactivate visualization of pixels with poor fitting performance.
The delineation of a smaller ROI inside the initial is allowed in order to focus on a specific area,
which may be presented with specific characteristics and attract clinical interest (Fig. 3).
Histogram comparisons can be performed between two or more sub-ROIs (Fig. 4).
All parametric and SNR maps can be exported in a format of choice (DICOM,
TXT,
etc.) for further exploitation and reference (Fig. 5).
A longitudinal analysis by graphically displaying the calculated parameters from the selected model(s) and their evolution in time is also provided (Fig. 6).