To the Question of Obtaining Three-Dimensional Images in X-Ray Computed Tomography

E. N. Simonov, D. V. Avramov

Abstract


The article is devoted to the methods of obtaining three-dimensional images in X-ray computer tomography. The method of tomography is described, beginning with scanning of the object of study measuring system – tomography, and ending with the display of the information received on the screen. The analysis of existing methods of reconstruction (recovery) on the projection image data is given, including “classic” in the reconstruction of fan-beam radiation and three-dimensional reconstruction in a cone beam radiation. In particular, back-projection method of filtering by convolution with the fan pattern scanning and Feldkamp algorithm with the cone pattern scanning scheme are considered as the most common. A comparative analysis of the computational cost for the twodimensional and three-dimensional reconstruction is given. The authors note that the threedimensional array of directly obtaining data with three-dimensional image reconstruction not only leads to a reduction in the required number of calculations, but can be effectively used in further processing and volume rendering. Various methods of imaging of three-dimensional data sets used in X-ray computed tomography are considered. The advantages and disadvantages of each method are presented. The detailed description of the algorithm of visualization volume (volume rendering) as the most preferred method of three-dimensional visualization of data is given.

Keywords


computed tomography; three-dimensional visualization

References


Симонов, Е.Н. Физика визуализации изображений в рентгеновской компьютерной томографии / Е.Н. Симонов. – Челябинск: Издат. центр ЮУрГУ, 2013. – 479 с.

Календер, В. Компьютерная томография основы, техника, качество изображений и области клинического использования: пер. с англ. / В. Календер. – М.: Техносфера, 2006. – 344 с.

Хермен, Г. Восстановление изображений по проекциям: Основы реконструктивной томографии: пер. с англ. / Г. Хермен. – М.: Мир, 1983 – 352 с.

Лихачев, А.В. Сравнение алгоритма Фельдкампа с алгоритмом синтеза Фурье для трехмерной томографии / А.В. Лихачев // Автометрия. – 2006. – № 1 – С. 88–102.

Feldkamp, L.A. Practical cone-beam algorithm / L.A. Feldkamp, L.C. Davis, J.W. Kress // Journ. Opt. Soc. Amer. A. – 1984. – Vol. 1, iss. 6 – P. 612–619.

Сорокин, Н.Ю. Повышение скорости реконструкции в трехмерной компьютерной томографии / Н.Ю. Сорокин // Микропроцессорные и цифровые системы. – 2008. – № 3 – С. 102–112.

Preim, B. Visualization in Medicine Theory, Algorithms, and Applications / B. Preim, D. Bartz. – Elsevier Store, 2007. – 652 p.

Jiang Hsieh. Computed Tomography: Principles, Design, Artifacts, and Recent Advances / Jiang Hsieh. – SPIE PRESS Monograph Vol. PM114, 2003. – 557 p.

Хоружик, С.А. Основы КТ-визуализации. Часть 2. Постпроцессинговая обработка изображений / С.А. Хоружик, А.Н. Михайлов // Радиология – практика. – 2011. – № 4 – С. 52–65.




DOI: http://dx.doi.org/10.14529/ctcr150405

Refbacks

  • There are currently no refbacks.