التفاصيل البيبلوغرافية
| العنوان: |
A Method of Generalized Projections (MGP) Ghost Correction Algorithm for Interleaved EPI. |
| المؤلفون: |
Lee, K. J., Papadakis, N. G., Barber, D. C., Wilkinson, I. D., Griffiths, P. D., Paley, M. N. J. |
| المصدر: |
IEEE Transactions on Medical Imaging; Jul2004, Vol. 23 Issue 7, p839-848, 10p |
| مصطلحات موضوعية: |
IMAGE processing, ALGORITHMS, STOCHASTIC convergence, COMPUTER graphics, DATA analysis, IMAGE reconstruction |
| مستخلص: |
Investigations into the method of generalized projections (MGP) as a ghost correction method for interleaved EN are described. The technique is image-based and does not require additional reference scans. The algorithm was found to be more effective if a priori knowledge was incorporated to reduce the degrees of freedom, by modeling the ghosting as arising from a small number of phase offsets. In simulations with phase variation between consecutive shots for n-interleaved echo planar imaging (EN), ghost reduction was achieved for n = 2 only. With no phase variation between shots, ghost reduction was obtained with n up to 16. Incorporating a relaxation parameter was found to improve convergence. Dependence of convergence on the region of support was also investigated. A fully automatic version of the method was developed, using results from the simulations. When tested on in viva 2-, 16-, and 32-interleaved spin-echo EPI data, the method achieved deghosting and image restoration close to that obtained by both reference scan and odd/even filter correction, although some residual artifacts remained. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
