Accuracy and Precision of Iodine Quantification in Subtracted Micro-Computed Tomography: Effect of Reconstruction and Noise Removal Algorithms.

Purpose: To evaluate the effect of reconstruction and noise removal algorithms on the accuracy and precision of iodine concentration (C) quantified with subtracted micro-computed tomography (micro-CT).

Procedures: Two reconstruction algorithms were evaluated: a filtered backprojection (FBP) algorithm and a simultaneous iterative reconstruction technique (SIRT) algorithm. A 3D bilateral filter (BF) was used for noise removal.

Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model.

The aim of this work was to systematically obtain quantitative imaging parameters with static and dynamic contrast-enhanced (CE) X-ray imaging techniques and to evaluate their correlation with histological biomarkers of angiogenesis in a subcutaneous C6 glioma model. Enhancement (E), iodine concentration (C), and relative blood volume (rBV) were quantified from single- and dual-energy (SE and DE, respectively) micro-computed tomography (micro-CT) images, while rBV and volume transfer constant (K) were quantified from dynamic contrast-enhanced (DCE) planar images. C and rBV allowed a better discernment of tumor regions from muscle than E in SE and DE images, while no significant differences were found for rBV and K in DCE images.

Quantification of tumor angiogenesis with contrast-enhanced x-ray imaging in preclinical studies: a review.

Tissue contrast is a major challenge in the application of computed tomography (CT) and micro-computed tomography (micro-CT) techniques for imaging cancer. Contrast medium is used in order to enhance contrast of certain organs of interest, as well as tumors. Several types of contrast media have been used to assess tumor vasculature, perfusion and angiogenesis in preclinical studies.