PMID: 9651031Jul 3, 1998Paper

Registration of synthetic tomographic projection data sets using cross-correlation

Physics in Medicine and Biology
E FitchardT R Mackie

Abstract

Tomographic registration, a method that makes possible accurate patient registration directly from projection data, consists of three processing steps: (i) manual coarse positioning, (ii) tomographic projection set acquisition, and (iii) computer mediated refined positioning. In the coarse positioning stage, the degree of patient alignment is comparable with that achieved with the standard radiotherapy set-up. However, the accuracy requirements are somewhat more relaxed in that meticulous alignment of the patient using external laser indicators is not necessary. Instead, tomographic projection sets are compared with planning CTs in order to achieve improved patient set-up. The projection sets are cross-correlated to obtain the best-fit translation and rotation offsets. The algorithm has been tested on synthetic data with the incorporation of varying amounts of Gaussian pseudo-random noise. These tests demonstrate the algorithm's stability and also confirm that alignment can be achieved with an accuracy of less than one projection pixel.

References

Sep 1, 1993·International Journal of Radiation Oncology, Biology, Physics·J M BalterS Vijayakumar
Apr 1, 1996·Medical Physics·T R McNuttB R Paliwal

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Citations

Dec 18, 2007·Neurosurgical Focus·Mayur Jayarao, Lawrence S Chin
Oct 12, 2007·Medical Physics·Weihua MaoLei Xing
Oct 11, 2016·IEEE Transactions on Medical Imaging·G MedanL Joskowicz
Jun 23, 2006·Physics in Medicine and Biology·T R Mackie
Aug 12, 1999·Physics in Medicine and Biology·J M KapatoesT R Mackie
Oct 26, 1999·Physics in Medicine and Biology·K J RuchalaT R Mackie
Mar 10, 1999·Physics in Medicine and Biology·E E FitchardT R Mackie
Aug 16, 2000·Physics in Medicine and Biology·K J RuchalaT R Mackie

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