CT attenuation values of blood and myocardium: rationale for accurate coronary artery calcifications detection with multi-detector CT.

OBJECTIVES: To determine inter-session and intra/inter-individual variations of the attenuations of aortic blood/myocardium with MDCT in the context of calcium scoring. To evaluate whether these variations are dependent on patients' characteristics. METHODS: Fifty-four volunteers were evaluated with calcium scoring non-enhanced CT. We measured attenuations (inter-individual variation) and standard deviations (SD, intra-individual variation) of the blood in the ascending aorta and of the myocardium of left ventricle. Every volunteer was examined twice to study the inter-session variation. The fat pad thickness at the sternum and noise (SD of air) were measured too. These values were correlated with the measured aortic/ventricular attenuations and their SDs (Pearson). Historically fixed thresholds (90 and 130 HU) were tested against different models based on attenuations of blood/ventricle. RESULTS: The mean attenuation was 46 HU (range, 17-84 HU) with mean SD 23 HU for the blood, and 39 HU (10-82 HU) with mean SD 18 HU for the myocardium. The attenuation/SD of the blood were significantly higher than those of the myocardium (p < 0.01). The inter-session variation was not significant. There was a poor correlation between SD of aortic blood/ventricle with fat thickness/noise. Based on existing models, 90 HU threshold offers a confidence interval of approximately 95% and 130 HU more than 99%. CONCLUSIONS: Historical thresholds offer high confidence intervals for exclusion of aortic blood/myocardium and by the way for detecting calcifications. Nevertheless, considering the large variations of blood/myocardium CT values and the influence of patient's characteristics, a better approach might be an adaptive threshold

Ascending aorta measurements as assessed by ECG-gated multi-detector computed tomography: a pilot study to establish normative values for transcatheter therapies

The aim of this study was to provide an insight into normative values of the ascending aorta in regards to novel endovascular procedures using ECG-gated multi-detector CT angiography. Seventy-seven adult patients without ascending aortic abnormalities were evaluated. Measurements at relevant levels of the aortic root and ascending aorta were obtained. Diameter variations of the ascending aorta during cardiac cycle were also considered. Mean diameters (mm) were as follows: LV outflow tract 20.3 ± 3.4, coronary sinus 34.2 ± 4.1, sino-tubular junction 29.7 ± 3.4 and mid ascending aorta 32.7 ± 3.8 with coefficients of variation (CV) ranging from 12 to 17%. Mean distances (mm) were: from the plane passing through the proximal insertions of the aortic valve cusps to the right brachio-cephalic artery (BCA) 92.6 ± 11.8, from the plane passing through the proximal insertions of the aortic valve cusps to the proximal coronary ostium 12.1 ± 3.7, and between both coronary ostia 7.2 ± 3.1, minimal arc of the ascending aorta from left coronary ostium to right BCA 52.9 ± 9.5, and the fibrous continuity between the aortic valve and the anterior leaflet of the mitral valve 14.6 ± 3.3, CV 13-43%. Mean aortic valve area was 582.0 ± 131.9mm2. The variation of the antero-posterior and transverse diameters of the ascending aorta during the cardiac cycle were 8.4% and 7.3%, respectively. Results showed large inter-individual variations in diameters and distances but with limited intra-individual variations during the cardiac cycle. A personalized approach for planning endovascular devices must be considere

Impact of the age on early embryonic mortality (EEM) and embryo quality in the honey bee (Apis mellifera L.)

Die vorliegende Studie über den Alterseinfluß bei der Honigbiene (Apis mellifera) besteht aus drei Hauptteilen. Der erste Teil befasst sich mit den Charakteristiken des Spermathekeninhalts alter und junger Bienenköniginnen. Im zweiten Teil geht es um die Auswirkungen des maternalen Alters auf die embryonale Mortalität und die juvenile Entwicklung der Brut. Im dritten Studienteil werden die Auswirkungen der Verweildauer in der Spermatheca auf die embryonale Mortalität, Embryonenqualität und Larvenentwicklung der Nachkommen untersucht. Der Samen aus den Spermatheken älterer Bienen weist andere Bewegungsmuster, eine geringere Geschwindigkeit und eine anderen Enzymaktivität auf als der Samen, der aus den Spermatheken junger Königinnen gewonnen wurde. Ein altersbedingtes Nachlassen der Fertlität ist daraus zu erklären. Im Laufe von zwei Jahren wurde die embryonale Entwicklung und das Larvenwachstum von Nachkommen unterschiedlich alter Königinnen untersucht (2-jährige bis frisch begattete Königinnen). Ältere Königinnen legten kleinere Eier und deren Nachkommen zeigten eine signifikant höhere Mortalitätsrate und kleinere Entwicklungsstadien als die Nachkommen jüngerer Königinnen. In einer weiteren Studie wurde die embryonale Mortalität und die Embryonalentwicklung von Nachkommen, die aus älteren Samen entstanden, untersucht. Dabei wurde der Samen aus den Spermatheken von alten und jungen begatteten Königin entnommen und jungfräuliche Königinnen übertragen. um das Alter der Königin auszugleichen. Bei der Untersuchung wurde eine höhere embryonale Mortalität und generell, zu gewissen Entwicklungszeiten signifikant, kleine Entwicklungsstadien bei den Königinnen festgestellt, die mit dem älteren Samen befruchtet wurden. Der relative Anteil an früher und später embryonaler Mortalität war auch zwischen den beiden Spermien-Alterlassen signifikant unterschiedlich. Die insgesamt hohe embryonale Mortalität auch in der Kontrollgruppe (Königinnen besamt mit Sperma aus den Spermathecen junger Königinnen) belegt, dass die Methode der Samenextraktion und Reinsemination einen großen Einfluß auf die Embryonalentwicklung hatte. Auch das Phänomen „leerer Eier“, welches in beiden Gruppen in gleicher Frequenz vorgefunden wurde, ist möglicherweise durch diese Methode bedingt.This study on the honey bee, Apis mellifera, consists of three major parts. The first involves the characteristics of the spermathecal content of old and young honey bee queen. The second examines maternal age effects on embryonic mortality and juvenile development of offspring in the honey bee. The third investigates on the impact of semen age on early embryonic mortality, embryo quality and larvae development in the honey bee. Semen collected from the spermatheca of old queen bees show different sperm movement patterns and slower speed than sperm from the spermathecae of young queens. This ability is possibly related to different enzyme activities and metabolisms found in the spermathecal contents of differently aged queens. The embryonic development and larval growth rate have been examined with regard to queen honey bees of different ages (2-year-old to freshly mated queens) during two years (2005 and 2006). Early embryonic mortality “EEM” has been found to be higher within the eggs from old queens than in those from younger queens. Egg volume, consequently embryo size, reduces as queen’s age. A further investigates embryonic mortality in offspring originating from older semen. This has been carried out by extracting the semen from the spermatheca of an old or/and young mated queen and re-inseminating it into a virgin queen, in order to adjust for queen age. The investigation show higher embryonic mortality in the offspring from virgin queens inseminated with semen extracted from older queens than with semen from younger queens. The relative percentage of early and late embryonic mortality within the groups was different between queens re-inseminated with aged semen. High embryonic mortality in the control semen ages may be affected by the method of extracting from semen out of the spermatheca and re-inseminating it into a virgin queen. Empty egg phenomenon, which has been found in both groups, may be related to this techniqu

Computer Aided Detection and Measurement of Peripheral Artery Disease

Computer-Aided Tomography Angiography (CTA) images are the standard for assessing Peripheral artery disease (PAD). This paper presents a Computer Aided Detection (CAD) and Computer Aided Measurement (CAM) system for PAD. The CAD stage detects the arterial network using a 3D region growing method and a fast 3D morphology operation. The CAM stage aims to accurately measure the artery diameters from the detected vessel centerline, compensating for the partial volume effect using Expectation Maximization (EM) and a Markov Random field (MRF). The system has been evaluated on phantom data and also applied to fifteen (15) CTA datasets, where the detection accuracy of stenosis was 88% and the measurement accuracy was with an 8% error

Three-dimensional adaptive image compression concept for medical imaging : application to computed tomography angiography for peripheral arteries

Advances in computed tomography (CT) have resulted in a substantial increase in the size of datasets. We built a new concept of medical image compression that provides the best compromise between compression rate and image quality. The method is based on multiple contexts and regions-of-interest (ROI) defined according to the degree of clinical interest. High priority areas (primary ROIs) are assigned a lossless compression. Other areas (secondary ROIs and background) are compressed with moderate or heavy losses. The method is applied to a whole dataset of CT angiography (CTA) of the lower extremity vasculature. It is compared to standard lossy compression techniques in terms of quantitative and qualitative image quality. It is also compared to standard lossless compression techniques in terms of image size reduction and compression ratio. The proposed compression method met quantitative criteria for high-quality encoding. It obtained the highest qualitative image quality rating score, with a statistically significant difference compared to other methods. The average compressed image size was up to 61% lower compared to standard compression techniques, with a 9:1 compression ratio compared with original non-compressed images. Our new adaptive 3D compression method for CT images can save data storage space while preserving clinically relevant information

Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control

Support Vector Machine (SVM) is a supervised machine learning algorithm, which is used for robust and accurate classification. Despite its advantages, its classification speed deteriorates due to its large number of support vectors when dealing with large scale problems and dependency of its performance on its kernel parameter. This paper presents a kernel parameter optimization algorithm for Support Vector Machine (SVM) based on Sliding Mode Control algorithm in a closed-loop manner. The proposed method defines an error equation and a sliding surface, iteratively updates the Radial Basis Function (RBF) kernel parameter or the 2-degree polynomial kernel parameters, forcing SVM training error to converge below a threshold value. Due to the closed-loop nature of the proposed algorithm, key features such as robustness to uncertainty and fast convergence can be obtained. To assess the performance of the proposed technique, ten standard benchmark databases covering a range of applications were used. The proposed method and the state-of-the-art techniques were then used to classify the data. Experimental results show the proposed method is significantly faster and more accurate than the anchor SVM technique and some of the most recent methods. These achievements are due to the closed-loop nature of the proposed algorithm, which significantly has reduced the data dependency of the proposed method