The scientist and engineer's guide to digital signal processing
The scientist and engineer's guide to digital signal processing
A Frequency Domain Technique for Range Data Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A coarse-to-fine algorithm for 3D registration based on wavelet decomposition
WSEAS TRANSACTIONS on SYSTEMS
Automated quantitative assessment of perifollicular vascularization
CSECS'09 Proceedings of the 8th WSEAS International Conference on Circuits, systems, electronics, control & signal processing
Rigid registration of segmented volumes in frequency domain using spherical correlation
MAMECTIS'10 Proceedings of the 12th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
WSEAS Transactions on Computers
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
The influence of noise on the results of rigid registration of segmented ultrasound volumes is studied in this paper. Binary volumes result from a segmentation of ovarian ultrasound volumes. Rigid registration is preformed in frequency domain, where the rotation and translation can be calculated separately. The calculation of rotation is done using the amplitude spectrum and sphere correlation. The method was tested on pairs of synthetic volumes where ovarian follicles in one volume were altered and, thus, simulated different kinds of noise (non-rigid changes) characteristic for segmented volumes. We systematically assessed the performance of our registration algorithm by changing the number of follicles, their position, orientation and size. Hundred volume pairs were involved in each experiment. The method proved sensitive to the change of follicle size but resistive to all other kinds of destruction we simulated.