A biological phantom for evaluation of CT image reconstruction algorithms

J. Cammin; G. S. K. Fung; E. K. Fishman; J. H. Siewerdsen; J. W. Stayman; K. Taguchi

doi:10.1117/12.2043714

19 March 2014 A biological phantom for evaluation of CT image reconstruction algorithms

J. Cammin, G. S. K. Fung, E. K. Fishman, J. H. Siewerdsen, J. W. Stayman, K. Taguchi

Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 903307 (2014) https://doi.org/10.1117/12.2043714
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

In recent years, iterative algorithms have become popular in diagnostic CT imaging to reduce noise or radiation dose to the patient. The non-linear nature of these algorithms leads to non-linearities in the imaging chain. However, the methods to assess the performance of CT imaging systems were developed assuming the linear process of filtered backprojection (FBP). Those methods may not be suitable any longer when applied to non-linear systems. In order to evaluate the imaging performance, a phantom is typically scanned and the image quality is measured using various indices. For reasons of practicality, cost, and durability, those phantoms often consist of simple water containers with uniform cylinder inserts. However, these phantoms do not represent the rich structure and patterns of real tissue accurately. As a result, the measured image quality or detectability performance for lesions may not reflect the performance on clinical images. The discrepancy between estimated and real performance may be even larger for iterative methods which sometimes produce “plastic-like”, patchy images with homogeneous patterns. Consequently, more realistic phantoms should be used to assess the performance of iterative algorithms. We designed and constructed a biological phantom consisting of porcine organs and tissue that models a human abdomen, including liver lesions. We scanned the phantom on a clinical CT scanner and compared basic image quality indices between filtered backprojection and an iterative reconstruction algorithm.

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J. Cammin, G. S. K. Fung, E. K. Fishman, J. H. Siewerdsen, J. W. Stayman, and K. Taguchi "A biological phantom for evaluation of CT image reconstruction algorithms", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903307 (19 March 2014); https://doi.org/10.1117/12.2043714

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KEYWORDS

Liver

Reconstruction algorithms

Tissues

Computed tomography

Image quality

Kidney

Image filtering

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