Title :
Automatic volumetric registration of NCCT and CTA brain images using intensity based image registration
Author :
Arka, Israna H. ; Chellappan, Kalaivani ; Mukari, Shahizon A. ; Law, Zhe K. ; Sahathevan, Ramesh ; Abd Rahni, Ashrani A.
Author_Institution :
Dept. of Electr. & Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
In this paper we present a pre-processing stage for an automated volumetric CT stroke image diagnosis system. It concerns the automatic intensity-based 3D image registration of non-contrast CT (NCCT) to CT angiography (CTA) images. The NCCT were acquired with a gantry tilt and hence they are first tilt corrected. After the tilt correction process, the NCCT images are then registered to the CTA image. The accuracy of image registration is measured by the overlap of the segmented skull from both images. The limitation of the current implementation is computing time which should be improved for a clinical application of the method.
Keywords :
brain; computerised tomography; diagnostic radiography; image registration; image segmentation; medical image processing; CT angiography; CTA brain image; NCCT brain image; automated volumetric CT stroke image diagnosis system; automatic intensity-based 3D image registration; automatic volumetric registration accuracy; gantry tilt; noncontrast CT; segmented skull; tilt correction process; Biomedical measurement; Computed tomography; Head; Image registration; Image segmentation; Indexes; Transforms;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
DOI :
10.1109/IECBES.2014.7047624