Iterative Reconstruction-Reprojection: An Algorithm for Limited Data Cardiac-Computed Tomography

IEEE Transactions on Biomedical EngineeringPublished 1 May 1982

Menahem Nassí, William R. Brody, Barry P. Medoff, Albert Macovski

DOI10.1109/tbme.1982.324900

Source URL

Citations109

SJR quartileQ1

SJR score1.11

SNIP1.58

TL;DR

The proposed IRR algorithm enables the use of convolution-backprojection in limited angle of view and in limited field of view CT cases and the potential of this method for cardiac CT reconstruction is demonstrated using computer simulated data.

Abstract

Cardiac X-ray computed tomography (CT) has been limited due to scanning times which are considerably longer (1 s) than required to resolve the beating heart (0.1 s). The otherwise attractive convolution-backprojection algorithm is not suited for CT image reconstruction from measurements comprising an incomplete set of projection data. In this paper, an iterative reconstruction-reprojection (IRR) algorithm is proposed for limited projection data CT image reconstruction. At each iteration, the missing views are estimated based on reprojection, which is a software substitute for the scanning process. The standard fan-beam convolution-backprojection algorithm is then used for image reconstruction. The proposed IRR algorithm enables the use of convolution-backprojection in limited angle of view and in limited field of view CT cases. The potential of this method for cardiac CT reconstruction is demonstrated using computer simulated data.

Keywords

MedicineEngineering

IEEE Transactions on Nuclear ScienceA tutorial on art (algebraic reconstruction techniques)

496 Citations1974Richard Gordon

IEEE Transactions on Biomedical EngineeringA Natural Pixel Decomposition for Two-Dimensional Image Reconstruction

126 Citations1981Michael H. Byonocore, William R. Brody +1 more

In two-dimensional image reconstruction from line integrals using maximum likelihood, Bayesian, or minimum variance algorithms, the x-y plane on which the object estimate is defined is decomposed into nonoverlapping regions, or "pixels".

Computers in Biology and MedicineConvolution reconstruction techniques for divergent beams

115 Citations1976Gábor T. Herman, A. V. Lakshminarayanan +1 more

A rigorous derivation of a convolution reconstruction technique for diverging beams which does not require reordering the data is given and it is shown that such techniques allow both rapid data collection and rapid but nevertheless accurate reconstruction.

IEEE Transactions on Biomedical EngineeringTowards Imaging the Beating Heart Usefully with a Conventional CT Scanner

98 Citations1981Graeme C. Mc Kinnon, R.H.T. Bates

It is shown how this estimate can be used to alter the measured projections in such a way that the image of the heart region can be significantly improved.

American Journal of RoentgenologyThe effects of biological motion on CT resolution

73 Citations1976R. J. Alfidi, WJ MacIntyre +1 more

This study initiated to estimate what an optimal scan period should be in the design of CT units and experimentally similated in the heart and liver to approximate the parameters of future technology.

IEEE Transactions on Nuclear ScienceConvolution Algorithms for Arbitrary Projection Angles

32 Citations1979M. E. Davison, F. Alberto Grünbaum

IEEE Transactions on Biomedical EngineeringX-Ray Reconstruction of the Spinal Cord, Using Bone Suppression

14 Citations1980I.S. Reed, William V. Glenn +3 more

A new method is developed for obtaining an X-ray reconstruction of the soft tissue detail of the spinal canal by removing the dominant effects of the bony vertebral body within the projection actual clinical data, and higher quality images of the residual soft tissues components can be reconstructed.

IEEE Transactions on Biomedical EngineeringA Method for Stop-Action Imaging of the Heart Using Gated Computed Tomography

13 Citations1981Menahem Nassí, William R. Brody +2 more

An important advantage of this method over other proposed limited angle reconstruction techniques is that it uses the existing fan-beam convolution-backprojection algorithm for image reconstruction.

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE<title>Polar Pixel Kalman Filter For Limited Data Computed Tomography (CT) Image Reconstruction</title>

7 Citations1979Michael H. Buonocore, William R. Brody +2 more

The use of a new algorithm2 for image reconstruction which yields in the least squared sense optimal solutions in the presence of noisy and asymmetric measurement sets is demonstrated which could allow more accurate cross sectional imaging than is possible with conventional methods.

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE<title>Application Of A Reflection Technique For Improved Temporal Resolution With Dynamic And ECG-gated Computed Tomography</title>

6 Citations1979Menahem Nassí, William R. Brody +5 more

This method is used to reconstruct 1.8 second images from a rotary fan-beam scanner which rotates 360° in 3 seconds, providing improved temporal resolution for dynamic CT studies with no increase in noise at a constant radiation exposure.