TY - GEN
T1 - LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images
AU - Wright, Robert
AU - Khanal, Bishesh
AU - Gomez, Alberto
AU - Skelton, Emily
AU - Matthew, Jacqueline
AU - Hajnal, Jo V.
AU - Rueckert, Daniel
AU - Schnabel, Julia A.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - In this work, we propose a deep learning-based method for iterative registration of fetal brain images acquired by ultrasound and magnetic resonance, inspired by “Spatial Transformer Networks”. Images are co-aligned to a dual modality spatio-temporal atlas, where computational image analysis may be performed in the future. Our results show better alignment accuracy compared to “Self-Similarity Context descriptors”, a state-of-the-art method developed for multi-modal image registration. Furthermore, our method is robust and able to register highly misaligned images, with any initial orientation, where similarity-based methods typically fail.
AB - In this work, we propose a deep learning-based method for iterative registration of fetal brain images acquired by ultrasound and magnetic resonance, inspired by “Spatial Transformer Networks”. Images are co-aligned to a dual modality spatio-temporal atlas, where computational image analysis may be performed in the future. Our results show better alignment accuracy compared to “Self-Similarity Context descriptors”, a state-of-the-art method developed for multi-modal image registration. Furthermore, our method is robust and able to register highly misaligned images, with any initial orientation, where similarity-based methods typically fail.
UR - http://www.scopus.com/inward/record.url?scp=85054874513&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-00807-9_15
DO - 10.1007/978-3-030-00807-9_15
M3 - Conference contribution
AN - SCOPUS:85054874513
SN - 9783030008062
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 149
EP - 159
BT - Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018 Held in Conjunction with MICCAI 2018, Proceedings
A2 - Melbourne, Andrew
A2 - Aughwane, Rosalind
A2 - Robinson, Emma
A2 - Licandro, Roxane
A2 - Gau, Melanie
A2 - Kampel, Martin
A2 - DiFranco, Matthew
A2 - Rota, Paolo
A2 - Licandro, Roxane
A2 - Moeskops, Pim
A2 - Schwartz, Ernst
A2 - Makropoulos, Antonios
PB - Springer Verlag
T2 - 1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018
Y2 - 16 September 2018 through 16 September 2018
ER -