@inproceedings{47344a4e33494c45a7e20bf85e683076,
title = "Registration of free-breathing abdominal 3D contrast-enhanced CT",
abstract = "CT perfusion imaging is used for the follow-up of abdominal tumors. A specificity of our work is that patients are breathing freely during image acquisition (5 minutes). We propose an automatic 3D image registration to compensate for respiratory motion. The registration is computed in two main steps: global translation in the z-direction and 3D multiresolution blockmatching. Within this algorithm, the choice of similarity measure largely determines the algorithm robustness in presence of intensity shifts due to contrast diffusion. We exploit a modified entropy-based similarity measure to improve the quality of registration. We also propose two relevant criteria allowing to quantify the registration quality: one based on the gradients of difference images and one based on the smoothness of enhanced-intensity curves.",
keywords = "DCE-CT, Free-breathing, evaluation criteria, spatio-temporal registration",
author = "Blandine Romain and V{\'e}ronique Letort and Olivier Lucidarme and Florence D'Alch{\'e}-Buc and Laurence Rouet",
year = "2012",
month = nov,
day = "6",
doi = "10.1007/978-3-642-33612-6\_29",
language = "English",
isbn = "9783642336119",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "274--282",
booktitle = "Abdominal Imaging",
note = "4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 ; Conference date: 01-10-2012 Through 01-10-2012",
}