Medical Imaging Systems Technology: Modalities by CORNELIUS T LEONDES

By CORNELIUS T LEONDES

This scholarly set of well-harmonized volumes presents necessary and whole assurance of the intriguing and evolving topic of scientific imaging structures. top specialists at the foreign scene take on the newest state of the art suggestions and applied sciences in an in-depth yet eminently transparent and readable strategy. Complementing and intersecting each other, every one quantity deals a finished therapy of great value to the topic parts. The chapters, in flip, handle issues in a self-contained demeanour with authoritative introductions, worthwhile summaries, and distinctive reference lists. broadly well-illustrated with figures all through, the 5 volumes as a complete in achieving a different intensity and breath of assurance. As a cohesive entire or autonomous of each other, the volumes will be bought as a collection or separately

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10) (11) Equation (8) is a quadratic field gradient whose coefficient is varied in the zdirection. The center position of the quadratic field can be moved to an arbitrary position (x ), as shown in Eq. (6), by simultaneous application of the scanning field written as Eq. (9). Equation (10) is a field gradient in the z-direction under the presence of a field offset of b0y , and Eq. (11) is a field gradient in the y-direction whose coefficient increments by α in the z-direction. The field gradient of Eq. (9) can be rewritten as Gy y + Gyz yz, thus Eq.

Simply ignoring the cone angle and analyzing the longitudinal sampling engendered by helical scans is not sound since the effect of the cone angle on aliasing is significant even for four-slice scanners, as discussed above. One potential approach to characterizing sampling in conebeam CT is to make use of Fourier crosstalk analysis,77 –79 a generalized, object-independent form of aliasing analysis in which one quantifies the transmission of Fourier components through an imaging system as well as the ability to distinguish different Fourier components from the measured data.

25 (1998) 550–560. 26. S. Schaller, T. Flohr, K. Klingenbeck, J. Krause, T. Fuchs and W. Kalender, Spiral interpolation algorithms for multi-slice spiral CT part I: Theory, IEEE Trans. Med. Imag. 19 (2000) 822–834. 27. P. J. La Rivi`ere and X. Pan, Interlaced interpolation weighting functions for multislice helical CT, Optical Engineering 42 (2003) 3461–3470. 28. P. E. Danielsson, P. Edholm and M. Seger, Towards exact 3D-reconstruction for helical cone-beam scanning of long objects. A new detector arrangement and a new completeness condition, in Proceedings of the 1997 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (D.

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