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Proceedings Paper

Cardiac-state-driven CT image reconstruction algorithm for cardiac imaging
Author(s): Erdogan Cesmeli; Peter M. Edic; Maria Iatrou; Jiang Hsieh; Rajiv Gupta; Armin H. Pfoh
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Paper Abstract

Multi-slice CT scanners use EKG gating to predict the cardiac phase during slice reconstruction from projection data. Cardiac phase is generally defined with respect to the RR interval. The implicit assumption made is that the duration of events in a RR interval scales linearly when the heart rate changes. Using a more detailed EKG analysis, we evaluate the impact of relaxing this assumption on image quality. We developed a reconstruction algorithm that analyzes the associated EKG waveform to extract the natural cardiac states. A wavelet transform was used to decompose each RR-interval into P, QRS, and T waves. Subsequently, cardiac phase was defined with respect to these waves instead of a percentage or time delay from the beginning or the end of RR intervals. The projection data was then tagged with the cardiac phase and processed using temporal weights that are function of their cardiac phases. Finally, the tagged projection data were combined from multiple cardiac cycles using a multi-sector algorithm to reconstruct images. The new algorithm was applied to clinical data, collected on a 4-slice (GE LightSpeed Qx/i) and 8-slice CT scanner (GE LightSpeed Plus), with heart rates of 40 to 80 bpm. The quality of reconstruction is assessed by the visualization of the major arteries, e.g. RCA, LAD, LC in the reformat 3D images. Preliminary results indicate that Cardiac State Driven reconstruction algorithm offers better image quality than their RR-based counterparts.

Paper Details

Date Published: 9 May 2002
PDF: 11 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467224
Show Author Affiliations
Erdogan Cesmeli, GE Corporate Research and Development Ctr. (United States)
Peter M. Edic, GE Corporate Research and Development Ctr. (United States)
Maria Iatrou, GE Corporate Research and Development Ctr. (United States)
Jiang Hsieh, GE Medical Systems (United States)
Rajiv Gupta, GE Corporate Research and Development Ctr. (United States)
Armin H. Pfoh, GE Corporate Research and Development Ctr. (United States)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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