Semi-automatic segmentation from intrinsically-registered 18F-FDG-PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE-MRI.

Maren Marie Sjaastad AndreassenPål Erik GoaTorill Eidhammer SjøbakkRoja HedayatiHans Petter EikesdalCallie DengAgnes ØstlieSteinar LundgrenTone Frost BathenNeil Peter Jerome

Published in: Magma (New York, N.Y.) (2019)

Using PET/MRI, tumor area and mean ADC value estimated with a GMM-PET can replicate manual DCE tumor definition from MRI for monitoring neoadjuvant treatment response in breast cancer.

Keyphrases

contrast enhanced
computed tomography
diffusion weighted
diffusion weighted imaging
magnetic resonance imaging
positron emission tomography
pet ct
pet imaging
magnetic resonance
deep learning
machine learning
rectal cancer
lymph node
locally advanced
convolutional neural network
young adults
breast cancer risk