AG member Nader Aldoj publicates on fully automated MRI quantification of prostate

07. February 2022

Nader Aldoj

Congratulations to our Team member Nader. Magnetic resonance elastography combined with Dense U-net segmentation allows tabulation of quantitative imaging markers without manual analysis and independent of other MRI sequences and can thus contribute to PCa detection and classification.

Quotes form abstract:
“Using trained network-based image segmentation, we investigated if Magnetic resonance elastography data is suffice to extract anatomical and viscoelastic information for automatic tabulation of zonal mechanical properties of the prostate.” “In conclusion, MRE combined with Dense U-net segmentation allows tabulation of quantitative imaging markers without manual analysis and independent of other MRI sequences and can thus contribute to PCa detection and classification.”

Illustration of inaccurate segmentations: left column is the ground truth; middle is predicted masks and right is the overlap between ground truth and predicted masks. Rows from top to bottom, images of PG, PZ and CZ respectively.

Read the whole article published in nature: https://www.nature.com/articles/s41598-022-05878-5