Novel reconstruction scheme for cardiac volume imaging with MSCT providing cone correction

Herbert Bruder; Karl Stierstorfer; Bernd Ohnesorge; Stefan Schaller; Thomas Flohr

doi:10.1117/12.467228

9 May 2002 Novel reconstruction scheme for cardiac volume imaging with MSCT providing cone correction

Herbert Bruder, Karl Stierstorfer, Bernd Ohnesorge, Stefan Schaller, Thomas Flohr

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467228
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

We present a novel reconstruction scheme for cardiac spiral imaging named Adaptive Cardiac Multiple Plane Reconstruction (ACMPR) which takes into account the conical shape of projection data. In cardiac imaging with multi-slice CT continuous data acquisition in spiral mode combined with the parallel acquisition of the patient's ECG enable retrospective gating of data segments for image reconstruction. ACMPR identified projection data segments <EQ(pi) using temporal information of the simultaneously recorded ECG. For each such data segment image stacks of double-oblique segment images are reconstructed and then reformatted to axial images separately. In case of multisector imaging using consecutive heart cycles for image formation the reformatted segment images have to be added to a complete CT image after the reformation step. Image results for multi-slice detector systems using an anthropomorphic computer model of the human heart will be shown. A detailed comparison to algorithms without cone- correction reveals that ACMPR does not lead to significant improvements for 16-slice detector systems but already for a 32-slice system ACMPR provides superior image quality, in particular coronaries and stents are images with less geometrical distortions.

Citation Download Citation

Herbert Bruder, Karl Stierstorfer, Bernd Ohnesorge, Stefan Schaller, and Thomas Flohr "Novel reconstruction scheme for cardiac volume imaging with MSCT providing cone correction", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467228

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