Image processing plays a fundamental role in the study of central nervous system, for example in the analysis of the vascular network in neurodegenerative diseases. Synchrotron X-ray Phase-contrast micro-Tomography (SXPCT) is a very attractive method to study weakly absorbing samples and features, such as the vascular network in the spinal cord (SC). However, the identification and segmentation of vascular structures in SXPCT images is seriously hampered by the presence of image noise and strong contrast inhomogeneities, due to the sensitivity of the technique to small electronic density variations. In order to help with these tasks, we implemented a user-friendly ImageJ plugin based on a 3D Gaussian steerable filter, tuned up for the enhancement of tubular structures in SXPCT images.
Steerable3D: An ImageJ plugin for neurovascular enhancement in 3-D segmentation / Miocchi, P.; Sierra, A.; Maugeri, L.; Stefanutti, E.; Abdollahzadeh, A.; Mangini, F.; Moraschi, M.; Bukreeva, I.; Massimi, L.; Brun, F.; Tohka, J.; Grohn, O.; Mittone, A.; Bravin, A.; Nicaise, C.; Giove, F.; Cedola, A.; Fratini, M.. - In: PHYSICA MEDICA. - ISSN 1724-191X. - 81:(2021), pp. 197-209. [10.1016/j.ejmp.2020.12.010]
Steerable3D: An ImageJ plugin for neurovascular enhancement in 3-D segmentation
Mangini, F.;
2021
Abstract
Image processing plays a fundamental role in the study of central nervous system, for example in the analysis of the vascular network in neurodegenerative diseases. Synchrotron X-ray Phase-contrast micro-Tomography (SXPCT) is a very attractive method to study weakly absorbing samples and features, such as the vascular network in the spinal cord (SC). However, the identification and segmentation of vascular structures in SXPCT images is seriously hampered by the presence of image noise and strong contrast inhomogeneities, due to the sensitivity of the technique to small electronic density variations. In order to help with these tasks, we implemented a user-friendly ImageJ plugin based on a 3D Gaussian steerable filter, tuned up for the enhancement of tubular structures in SXPCT images.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
