Biomedical subjects

Andrei Postnov

Publications and source records attributed to Andrei Postnov.

3 recordsLinked to original sources

PubMed2006

High-resolution X-ray microtomography is a sensitive method to detect vascular calcification in living rats with chronic renal failure.

OBJECTIVE: Chronic renal failure (CRF) is associated with a 10- to 20-fold increase in cardiovascular risk. Vascular calcification is a prominent feature of cardiovascular disease in patients with end-stage renal failure and contributes to the excess mortality in this population. In this study, we explored in vivo X-ray microtomography (micro-CT) as a tool to detect and follow-up vascular calcifications in the aorta of living rats with adenine-induced CRF. METHODS AND RESULTS: With in vivo micro-CT, calcification of the aorta in uremic rats was clearly discernible on transversal virtual cross-sections. Micro-CT findings correlated well with tissue calcium content and histology. Repetitive scans in animals with light, moderate, and severe vascular calcification showed good reproducibility with minimal interference of motion artifacts. Moreover, both calcified volume and area could be quantified with this method. CONCLUSIONS: In vivo micro-CT scanning is a sensitive method to detect vascular calcifications in CRF rats, allowing follow-up and quantification of the development, and potential reversal during treatment, of vascular calcifications in living animals.

Animals↗

PubMed2005

Histomorphometry and micro-computed tomography of bone augmentation under a titanium membrane.

OBJECTIVES: Bone augmentation underneath an occlusive titanium membrane is evaluated in most cases by means of serial histological sections and histomorphometry. Micro-computed tomography (micro-CT) is a less invasive and dynamic technique to measure bone volume in animals of a size that fits into the gantry. The aim of the present study was to evaluate whether the latter approach could match histomorphometry to assess bone augmentation under a titanium membrane. MATERIAL AND METHODS: Pre-formed titanium cups were placed on the skull of 16 rabbits. Bone formation underneath the cups was allowed to occur for 12 weeks. The amount of bone volume assessed by micro-CT was expressed as a numerical unit. One unit volume corresponds to 0.043 mm3. The measurements reveal the volume of bone-like tissue under the membrane, with the same density as that of the original rabbit skull bone. Histological sections were cut along the same plane as the one used for the micro-CT images. The total bone surface was assessed by a digital image system in double-stained undecalcified histological sections and related to the maximum available surface of the titanium cups, which was on average 1366 mm2. RESULTS: The amount of total bone surface found under the titanium membrane varied between 40 and 163 mm2. Measured by micro-CT, the bone detected ranged from 3.7 to 396 numerical units. A highly significant (P<0.001) correlation was found between the total bone volume measured in conventional serial histological sections and by the micro-CT technique (r2=0.72). CONCLUSIONS: The total bone volume measured underneath a membrane using the micro-CT when compared with histological sections remained within a 16% error. This is because of the scattering effect of the metallic membrane and the impossibility to distinguish newly formed bone from the original skull bone on the micro-CT images.

Animals↗

PubMed2004

Reduction of ring artefacts in high resolution micro-CT reconstructions.

High resolution micro-CT images are often corrupted by ring artefacts, prohibiting quantitative analysis and hampering post processing. Removing or at least significantly reducing such artefacts is indispensable. However, since micro-CT systems are pushed to the extremes in the quest for the ultimate spatial resolution, ring artefacts can hardly be avoided. Moreover, as opposed to clinical CT systems, conventional correction schemes such as flat-field correction do not lead to satisfactory results. Therefore, in this note a simple but efficient and fast post processing method is proposed that effectively reduces ring artefacts in reconstructed micro-CT images.

Algorithms↗