TY - GEN
T1 - Convolutional neural network-based regression for quantification of brain characteristics using MRI
AU - Fernandes, João
AU - Alves, Victor
AU - Khalili, Nadieh
AU - Benders, Manon J. N. L.
AU - Išgum, Ivana
AU - Pluim, Josien
AU - Moeskops, Pim
PY - 2019
Y1 - 2019
N2 - Preterm birth is connected to impairments and altered brain growth. Compared to their term born peers, preterm infants have a higher risk of behavioral and cognitive problems since most part of their brain development is in extra-uterine conditions. This paper presents different deep learning approaches with the objective of quantifying the volumes of 8 brain tissues and 5 other image-based descriptors that quantify the state of brain development. Two datasets were used: one with 86 MR brain images of patients around 30 weeks PMA and the other with 153 patients around 40 weeks PMA. Two approaches were evaluated: (1) using the full image as 3D input and (2) using multiple image slices as 3D input, both achieving promising results. A second study, using a dataset of MR brain images of rats, was also performed to assess the performance of this method with other brains. A 2D approach was used to estimate the volumes of 3 rat brain tissues.
AB - Preterm birth is connected to impairments and altered brain growth. Compared to their term born peers, preterm infants have a higher risk of behavioral and cognitive problems since most part of their brain development is in extra-uterine conditions. This paper presents different deep learning approaches with the objective of quantifying the volumes of 8 brain tissues and 5 other image-based descriptors that quantify the state of brain development. Two datasets were used: one with 86 MR brain images of patients around 30 weeks PMA and the other with 153 patients around 40 weeks PMA. Two approaches were evaluated: (1) using the full image as 3D input and (2) using multiple image slices as 3D input, both achieving promising results. A second study, using a dataset of MR brain images of rats, was also performed to assess the performance of this method with other brains. A 2D approach was used to estimate the volumes of 3 rat brain tissues.
UR - https://www.scopus.com/pages/publications/85065091198
U2 - 10.1007/978-3-030-16184-2_55
DO - 10.1007/978-3-030-16184-2_55
M3 - Conference contribution
SN - 9783030161835
VL - 931
T3 - Advances in Intelligent Systems and Computing
SP - 577
EP - 586
BT - New Knowledge in Information Systems and Technologies - Volume 2
PB - Springer Verlag
T2 - World Conference on Information Systems and Technologies, WorldCIST 2019
Y2 - 16 April 2019 through 19 April 2019
ER -