Title :
A shape based rotation invariant method for ultrasound-MR image registration: A phantom study
Author :
Abdolghaffar, M. ; Ahmadian, A. ; Ayoobi, N. ; Farnia, P. ; Shabanian, T. ; Shafiei, Navid ; Alirezaie, J.
Author_Institution :
Dept. of Biomed. Syst. & Med. Phys., Tehran Univ. of Med. Sci., Tehran, Iran
Abstract :
In this work, a new shape based method to improve the accuracy of Brain Ultrasound-MRI image registration is proposed. The method is based on modified Shape Context (SC) descriptor in combination with CPD algorithm. An extensive experiment was carried out to evaluate the robustness of this method against different initialization conditions. As the results prove, the overall performance of the proposed algorithm outperforms both SC and CPD methods. In order to have control over the registration procedure, we simulated the deformations, missing points and outliers according to our Phantom MRI images.
Keywords :
biomedical MRI; biomedical ultrasonics; brain; deformation; feature extraction; geometry; image registration; medical image processing; neurophysiology; phantoms; rotation; CPD algorithm; brain ultrasound-MR image registration; deformation simulation; initialization conditions; missing point simulation; modified SC descriptor; modified shape context descriptor; outlier simulation; phantom MRI images; registration control; robustness; shape based rotation invariant method; ultrasound-MRI image registration accuracy; Image registration; Iterative closest point algorithm; Medical diagnostic imaging; Robustness; Shape; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944888
