Effective atomic number estimation using kV-MV dual-energy source in LINAC

Dual-energy computed tomography (DECT) imaging can measure the effective atomic number (EAN) as well as the electron density, and thus its adoption may improve dose calculations in brachytherapy and external photon/particle therapy. An expanded energy gap in dual-energy sources is expected to yield more accurate EAN estimations than conventional DECT systems, which typically span less than 100 kV. The aim of this paper is to assess a larger energy gap DECT by using a linear accelerator (LINAC) radiotherapy system with a kV X-ray imaging device, which are combined to provide X-rays in both the kV- and MV-energy ranges. Traditionally, the EAN is determined by parameterising the Hounsfield Unit; however, this is difficult in a kV-MV DECT due to different uncertainties in the reconstructed attenuation coefficient at each end of the energy spectrum. To overcome this problem, we included a new calibration step to produce the most likely linear attenuation coefficients, based upon the X-ray spectrum. To determine the X-ray spectrum, Monte Carlo calculations using GEANT4 were performed. Then the images were calibrated using information from eight inserts of known materials in a CIRS phantom (CIRS Inc., Norfolk, VA). Agreement between the estimated and empirical EANs in these inserts was within 11%. Validation was subsequently performed with the CatPhan500 phantom (The Phantom Laboratory, Salem). The estimated EAN for seven inserts agreed with the empirical values to within 3%. Accordingly, it can be concluded that, given properly reconstructed images based upon a well-determined X-ray spectrum, kV-MV DECT provides an excellent prediction for the EAN.     

Estimation of electron density,effective atomic number and stopping power ratio using dual-layer computed tomography for radiotherapy treatment planning

PurposeAssess the accuracy for quantitative measurements of electron density relative to water (ρ_e/ρ_e,w), effective atomic number (Z_eff) and stopping power ratio relative to water (SPR_w) using a dual-layer computed tomography (DLCT) system.Methods and MaterialsA tissue characterization phantom was scanned using DLCT with varying scanning parameters (i.e., tube voltage, rotation time, CTDI_vol, and scanning mode) and different reference materials. Then, electron density ρ_e/ρ_e,w and atomic number Z_eff images were reconstructed, and their values were determined for each reference materials. Based on these two values, SPR_w was calculated. Finally, the percent error (PE) against the theoretical values was calculated for reference materials.ResultsSignificant linear relationships (p < 0.001) were observed between the measured and theoretical ρ_e/ρ_e,w (r = 1.000), Z_eff (r = 0.989) and SPR_w (r = 1.000) values. The PE for each reference material varied from –2.0 to 1.2% (mean, <0.1%) for electron density ρ_e/ρ_e,w, from –6.4 to 8.0% (mean, –2.0%) for atomic number Z_eff, and from –2.0 to 1.9% (mean, 0.3%) for stopping power ratio SPR_w. The mean PE of ρ_e/ρ_e,w (<0.1%), Z_eff (<–2.5%) and SPR_w (<0.4%) was verified across the variation of scanning parameters (p > 0.85).ConclusionsDLCT provides a reasonable accuracy in the measurements of ρ_e/ρ_e,w, Z_eff and SPR_w, and could enhance radiotherapy treatment planning and the subsequent outcomes.     

Evaluation of raw-data-based and calculated electron density for contrast media with a dual-energy CT technique

ObjectivesThe aim of the current study is to evaluate the accuracy and the precision of raw-data-based relative electron density (RED_raw) and the calibration-based RED (RED_cal) at a range of low-RED to high-RED for tissue-equivalent phantom materials by comparing them with reference RED (RED_ref) and to present the difference of RED_raw and RED_cal for the contrast medium using dual-energy CT (DECT).MethodsThe RED_raw images were reconstructed by raw-data-based decomposition using DECT. For evaluation of the accuracy of the RED_raw, RED_ref was calculated for the tissue-equivalent phantom materials based on their specified density and elemental composition. The RED_cal images were calculated using three models: Lung-Bone model, Lung-Ti model and Lung-Ti (SEMAR) model which used single-energy metal artifact reduction (SEMAR). The difference between RED_raw and RED_cal was calculated.ResultsIn the titanium rod core, the deviations of RED_raw and RED_cal (Lung-Bone model, Lung-Ti model and Lung-Ti model with SEMAR) from RED_ref were 0.45%, 50.8%, 15.4% and 15.0%, respectively. The largest differences between RED_raw and RED_cal (Lung-Bone model, Lung-Ti model and Lung-Ti model with SEMAR) in the contrast medium phantom were 8.2%, ?23.7%, and 28.7%, respectively. However, the differences between RED_raw and RED_cal values were within 10% at 20 mg/ml. The standard deviation of the RED_raw was significantly smaller than the RED_cal with three models in the titanium and the materials that had low CT numbers.ConclusionThe RED_cal values could be affected by beam hardening artifacts and the RED_cal was less accurate than RED_raw for high-Z materials as titanium.Advances in knowledgeThe raw-data-based reconstruction method could reduce the beam hardening artifact compared with image-based reconstruction and increase the accuracy for the RED estimation in high-Z materials, such as titanium and iodinated contrast medium.     

Radiobiological risks in terms of effective dose and organ dose from 18F-FDG whole-body PET/CT procedures

IntroductionIntegrated Positron Emission Tomography (PET) with Computerized tomography (CT) (PET/CT) are widely used to diagnose, stage and track human diseases during whole body scanning. Multi-modality imaging is an interesting area of research that aims at acquiring united morphological-functional image information for accurate diagnosing and staging of the disease. However, PET/CT procedure accompanied with high radiation dose from CT and administered radioactivity. The aim of the present study was to estimate the patients’ dose from ¹⁸F-fluorodeoxyglucose imaging (18F-FDG) hybrid PET/CT whole body scan.Materials and methodsRADAR (Radiation Dose Assessment Resource) software was used to estimate the effective dose for 156 patients (110 (70.5%)) males and 46 (39.5%) female) examined using Discovery PET/CT 710, GE Medical Systems installed at Kuwait Cancer Control Center (KCCC).ResultsThe effective dose results presented in this PET/CT study ranged from (1.56–9.94 mSv). The effective dose was calculated to be 3.88 mSv in females and 3.71 mSv in males. The overall breast (female), lung, liver, kidney and thyroid were 7.4, 7.2, 5.2, 4, 3 and 2.9, respectively.For females, the body mass index (BMI) was 28.49 kg/m² and for males it was 26.50 kg/m² which showed overweight values for both genders. Conclusions: The findings indicate that the effective dose of 18F-FDG in both male and female patients was not substantially different. The study suggested that the risk–benefit proportions of any ¹⁸F-FDG whole body PET/CT scan should be clarified and carefully weighed. Patient’s doses are lower compared with previous studies.     

肾脏原发性肿瘤CT 成像进展

肾脏原发性肿瘤种类繁多,多为恶性,且各病理亚型的影像表现均有不同。部分良性肿瘤如乏脂性血管平滑肌脂肪瘤、嗜酸细胞瘤难以与其区分,因此术前明确其组织学类型有助于治疗方案制定以及预后评估。CT是检查肾脏肿瘤的重要影像方法之一,除常规平扫、动态增强检查外,CT灌注成像、能量CT及PET-CT等亦提供了诸多信息。本文就其CT成像现状综述如下。     

Inbreeding coefficients for stochastically varying small population sizes-bias of calculation based on effective numbers

The commonly used procedure to calculate inbreeding coefficients by effective population numbers (Ne) by the harmonic mean of generation-by-generation population sizes involves a computational bias. If the individual population sizes are considered as realizations of a binomially distributed random variable with sample size N and probability p, this bias can be investigated for the two cases p = constant and p = variable (Markov chain). The bias is of practical relevance only for small probabilities p, short period of initial successive generations, and small population sizes. The largest values for this computational bias are in the range of 0.05-0.06. It is concluded that for most practical purposes the approximate procedure is appropriate.     

棉铃虫老熟幼虫有效越冬虫量的分析

通过从棉田和玉米田采回的第 4代老熟幼虫的化蛹率和羽化率观察 ,发现棉田和玉米田的老熟幼虫化蛹率分别为 65%～ 83 0 5%和 55%～ 80 % ,其化蛹后的羽化率分别为 1 0 %～ 87%和 1 3 %～77% ,而且 2种寄主作物间无显著差异。由此进一步分析了棉田和玉米田老熟幼虫的有效越冬虫率和有效越冬虫量 ,作者认为 8月 3 1日至 9月 1 0日是棉铃虫老熟幼虫有效越冬虫量的主要来源期 ,且棉田显著高于玉米田 ,构成了第 2年棉铃虫种群发生基础。     

Technical Note: Quality assessment of virtual monochromatic spectral images on a dual energy CT scanner

PurposeTo assess the quality of images obtained on a dual energy computed tomography (CT) scanner.MethodsImage quality was assessed on a 64 detector-row fast kVp-switching dual energy CT scanner (Revolution GSI, GE Medical Systems). The Catphan phantom and a low contrast resolution phantom were employed. Acquisitions were performed at eight different radiation dose levels that ranged from 9 mGy to 32 mGy. Virtual monochromatic spectral images (VMI) were reconstructed in the 40–140 keV range using all available kernels and iterative reconstruction (IR) at four different blending levels. Modulation Transfer Function (MTF) curves, image noise, image contrast, noise power spectrum and contrast to noise ratio were assessed.ResultsIn-plane spatial resolution at the 10% of the MTF curve was 0.60 mm⁻¹. In-plane spatial resolution was not modified with VMI energy and IR blending level. Image noise was reduced from 16.6 at 9 mGy to 6.7 at 32 mGy, while peak frequency remained within 0.14 ± 0.01 mm⁻¹. Image noise was reduced from 14.3 at IR 10% to 11.5 at IR 50% at a constant peak frequency. The lowest image noise and maximum peak frequency were recorded at 70 keV.ConclusionsOur results have shown how objective image quality is varied when different levels of radiation dose and different settings in IR are applied. These results provide CT operators an in depth understanding of the imaging performance characteristics in dual energy CT.     

Development of a novel algorithm for metal artifact reduction in digital tomosynthesis using projection-based dual-energy material decomposition for arthroplasty: A phantom study

In this study, a novel dual-energy (DE) material decomposition reconstruction algorithm (DEMDRA) was developed using projection data with the aim of reducing metal artifacts during digital tomosynthesis (DT) for implants. Using the three-material decomposition method and decomposition projection data specific for each material, a novel DEMDRA was implemented to reduce metal artifacts via weighted hybrid reconstructed images [maximum likelihood expectation maximization (MLEM) and shift-and-add (SAA)]. Pulsed X-ray exposures with rapid switching between low and high tube potential kVp were used for DE-DT imaging, and the images were compared using conventional filtered back projection (FBP), MLEM, the simultaneous algebraic reconstruction technique total variation (SART-TV), virtual monochromatic processing, and metal artifact reduction (MAR)-processing algorithms. The reductions in metal artifacts were compared using an artifact index (AI), Gumbel distribution of the largest variations, and the artifact spread functions (ASFs) for prosthesis phantom. The novel DEMDRA yielded an adequately effective overall performance in terms of the AI, and the resulting images yielded good results independently of the type of metal used in the prosthetic phantom, as well as good noise artifact removal, particularly at greater distances from metal objects. Furthermore, the DEMDRA represented the minimum in the model of largest variations. Regarding the ASF analysis, the novel DEMDRA yielded superior metal artifact reduction when compared with conventional reconstruction algorithms with and without MAR processing. Finally, the DEMDRA was particularly useful for reducing high-frequency artifacts.     

Method for determining the half-value layer in computed tomography scans using a real-time dosimeter: Application to dual-source dual-energy acquisition

PurposeWe have proposed a method for determining the half-value layers (HVL) in dual-source dual-energy computed tomography (DS-DECT) scans without the need for the X-ray tubes to be fixed.MethodsA custom-made lead-covered case and an ionizing chamber connected with a multi-function digitizer module (a real-time dosimeter) were used. The chamber was placed in the center of the case, and aluminum or copper filters were placed in front of the aperture. The HVL was measured using aperture widths of 1.0, 2.0, and 3.0 cm for tube potentials of 80, 120, and 150 kV in single-source single-energy CT (SS-SECT) scans and was calculated from the peak air kerma rate (peak method) and the integrated air kerma rate (integrating method); the obtained values were compared with those from a conventional non-rotating method performed using the same procedure. The HVL was then measured using an aperture width of 1.0 cm for tube potential combinations of 70/Sn150 kV and 100/Sn150 kV in DS-DECT scans using the peak method.ResultsIn the SS-SECT scans, the combination of a 1.0-cm aperture and the peak method was adequate due to the small differences in the HVL values obtained for the conventional non-rotating method. The method was also found to be applicable for the DS-DECT scans.ConclusionsOur proposed method can determine the HVL in SS-SE and DS-DECT scans to a good level of accuracy without the need for the X-ray tubes to be fixed. The combination of a 1.0-cm aperture and the peak method was adequate.     

Image synthesis of effective atomic number images using a deep convolutional neural network-based generative adversarial network

BackgroundThe effective atomic numbers obtained from dual-energy computed tomography (DECT) can aid in characterization of materials. In this study, an effective atomic number image reconstructed from a DECT image was synthesized using an equivalent single-energy CT image with a deep convolutional neural network (CNN)-based generative adversarial network (GAN).Materials and methodsThe image synthesis framework to obtain the effective atomic number images from a single-energy CT image at 120 kVp using a CNN-based GAN was developed. The evaluation metrics were the mean absolute error (MAE), relative root mean square error (RMSE), relative mean square error (MSE), structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), and mutual information (MI).ResultsThe difference between the reference and synthetic effective atomic numbers was within 9.7% in all regions of interest. The averages of MAE, RMSE, MSE, SSIM, PSNR, and MI of the reference and synthesized images in the test data were 0.09, 0.045, 0.0, 0.89, 54.97, and 1.03, respectively.ConclusionsIn this study, an image synthesis framework using single-energy CT images was constructed to obtain atomic number images scanned by DECT. This image synthesis framework can aid in material decomposition without extra scans in DECT.     

Evaluation of the effectiveness of a commercially available defined substrate medium and enumeration system for measuring Escherichia coli numbers in faeces and soil samples

AIMS: To determine if a commercially available defined substrate medium and enumeration system could be utilized as an effective and accurate means of enumerating Escherichia coli in environmental samples containing faeces and soil. METHODS AND RESULTS: The samples tested were either inoculated with laboratory grown E. coli or natural E. coli populations in cow faeces. The number of E. coli recovered from faeces and soil samples using the defined substrate medium and enumeration system and a miniaturized MPN method (using traditional media) was compared by analysing the difference between the two methods in relation to the mean. For four of five groups of samples analysed there was no significant difference in the number of E. coli recovered by the two methods (P > 0.05). In one batch the difference was 0.30 log, which while being statistically significant (P < 0.01) was not considered to be biologically significant. CONCLUSION: The commercially available enumeration system was significantly more precise than the miniaturized MPN method (P < 0.001). SIGNIFICANCE AND IMPACT OF THE STUDY: We conclude that the commercially available defined substrate medium and enumeration system is a suitable method for the measurement of E. coli numbers in faeces and soil samples and should provide advantages of increased precision and a reduction in laboratory analysis time.     

Radiation dosimetry of 18F-flurocholine PET/CT studies in prostate cancer patients

PurposeWe aimed to evaluate the Equivalent Doses (H_Ts) to highly exposed organs as well as the Effective Dose (ED) for ¹⁸F-fluorocholine PET/CT scan in the follow-up of prostate cancer patients.MethodsFifty patients were administered with ¹⁸F-fluorocholine. The activities in organs with the highest uptake were derived by region-of-interest (ROI) analysis. OLINDA/EXM1.0 and Impact software were used to assess ED for the administered ¹⁸F-fluorocholine and CT scan, respectively, and the ¹⁸F-fluorocholine and CT-scan EDs summed to yield the total ED for the PET/CT procedure.ResultsThe calculated ¹⁸F-fluorocholine and CT scans EDs based on ICRP Publication 103 were 5.2 mSv/300 MBq and 6.7 mSv, respectively. The ¹⁸F-fluorocholine H_Ts to the liver, kidneys, spleen and pancreas were about threefold higher than those from the CT, which contributed a greater proportion of the total ED than the ¹⁸F-fluorocholine did.ConclusionsFor ¹⁸F-fluorocholine PET/CT procedures, about 40% of the ED is contributed by administered ¹⁸F-fluorocholine and 60% by the CT scan. The kidneys and liver were the highly exposed organs. Considering the large number of diagnostic procedures oncology patients undergo, radiation dosimetry is important in relation to the stochastic risk of such procedures.     

Evaluation of the effectiveness of commercially available contact plates for monitoring microbial environments

Aim:  The aim of this study was to measure the efficiency of contact plates to recover microbial contaminants from stainless steel surface.
Materials and Methods:  Three commercially available contact plates were used to recover two biological indicators from stainless steel sheets. The method used was standardised and validated to provide robust results. Parameters such as wetness, fertility and loss of water were also investigated for possible correlation with recovery efficiency.
Results:  The percentage of recovery from the contact plates was low and differences in recovery efficiency between brands depended upon the test organism. The poor recovery was probably due to the inability of the dried micro-organism to transfer to the plate, rather than the inability of the plate to grow the micro-organism. Wetness might help in improving recovery.
Conclusions:  The use of a validated protocol allowed robust investigations into the recovery efficiency of contact plates.
Significance and Impact of the Study:  The poor and variable recovery rates are of concern as they cast doubt on the comparability and reliability of environmental monitoring results where different commercial contact plates have been used.     

Comparison of eight commercially available kits for DNA extraction from formalin-fixed paraffin-embedded tissues

A proper extraction method from formalin-fixed paraffin-embedded (FFPE) blocks is essential to obtain DNA of satisfactory quality/quantity. We compared the effectiveness of eight commercially available kits for DNA extraction based on 10 FFPE tissues. Kits differed significantly in terms of DNA yield, purity, and quality. Using the QIAamp DNA FFPE Tissue Kit (Qiagen) and the ReliaPrep FFPE gDNA Miniprep System (Promega), we obtained DNA of the highest quality and acceptable quantity. We also demonstrated that overnight digestion of samples usually improved DNA yield and/or purity. For precious or limited material, double elution is recommended for obtaining up to 42% higher amount of DNA.     

Improvement of image quality for pancreatic cancer using deep learning-generated virtual monochromatic images: Comparison with single-energy computed tomography

PurposeTo construct a deep convolutional neural network that generates virtual monochromatic images (VMIs) from single-energy computed tomography (SECT) images for improved pancreatic cancer imaging quality.Materials and methodsFifty patients with pancreatic cancer underwent a dual-energy CT simulation and VMIs at 77 and 60 keV were reconstructed. A 2D deep densely connected convolutional neural network was modeled to learn the relationship between the VMIs at 77 (input) and 60 keV (ground-truth). Subsequently, VMIs were generated for 20 patients from SECT images using the trained deep learning model.ResultsThe contrast-to-noise ratio was significantly improved (p < 0.001) in the generated VMIs (4.1 ± 1.8) compared to the SECT images (2.8 ± 1.1). The mean overall image quality (4.1 ± 0.6) and tumor enhancement (3.6 ± 0.6) in the generated VMIs assessed on a five-point scale were significantly higher (p < 0.001) than that in the SECT images (3.2 ± 0.4 and 2.8 ± 0.4 for overall image quality and tumor enhancement, respectively).ConclusionsThe quality of the SECT image was significantly improved both objectively and subjectively using the proposed deep learning model for pancreatic tumors in radiotherapy.     

微囊藻群体细胞数量估算的一种简单方法

采用加酸水解和人工计数的方法,对巢湖铜绿微囊藻、放射微囊藻、惠氏微囊藻、坚实微囊藻、绿色微囊藻、挪氏微囊藻、水华微囊藻、鱼害微囊藻所含细胞数进行了估算.通过统计分析,建立了微囊藻群体最大投影面积与所含细胞数的回归方程模型,通过这些模型可以估算群体微囊藻所含的细胞数.     

Diversity indices for ecological networks: a unifying framework using Hill numbers

Describing how ecological interactions change over space and time and how they are shaped by environmental conditions is crucial to understand and predict ecosystem trajectories. However, it requires having an appropriate framework to measure network diversity locally, regionally and between samples (α‐, γ‐ and β‐diversity). Here, we propose a unifying framework that builds on Hill numbers and accounts both for the probabilistic nature of biotic interactions and the abundances of species or groups. We emphasise the importance of analysing network diversity across different species aggregation levels (e.g. from species to trophic groups) to get a better understanding of network structure. We illustrate our framework with a simulation experiment and an empirical analysis using a global food‐web database. We discuss further usages of the framework and show how it responds to recent calls on comparing ecological networks and analysing their variation across environmental gradients and time.     

Considerations on the use of commercially available yeast biomass for the treatment of metal-containing effluents

Summary Three strains ofSaccharomyces cerevisiae and one strain of aCandida sp. obtained from different industrial sources were screened for uptake of silver and copper. Considerable differences in metal uptake capacities were found between the different strains ofS. cerevisiae and betweenS. cerevisiae and theCandida sp. used. Copper uptake capacities ranged from 0.05 mmol g^–1 dry wt to 0.184 mmol g^–1 dry wt while values of 0.034 mmol Ag g^–1 dry wt and 0.193 mmol Ag g^–1 dry wt biomass were observed. Use of ion-selective electrodes (ISEs) enabled the detection of copper complexing agents (possibly proteins and carbohydrates) released by yeasts into the surrounding medium. In contrast, these compounds had no silver complexation abilities. Langmuir and Scatchard transformations of metal adsorption isotherms suggested differences in the mechanisms involved in metal uptake by the various yeasts. The differences between strains ofS. cerevisiae were due possibly to differences in cell wal composition. Different methods of preparation of biomass (fresh, air, oven and freeze-dried) had little effect on metal uptake in comparison with fresh biomass. Storage of fresh waste biomass at 4°C for 20 days had no effect on metal biosorption capacities. It was also observed that individual batches of waste biomass produced from different fermentation runs had consistent metal uptake capacities. The implications of the above results on the use of waste yeast biomass for treatment of metal-containing effluents are discussed.     

Mapping quantitative trait loci for stress induced alterations in porcine leukocyte numbers and functions

To identify quantitative trait loci (QTLs) with effects on 'stress' induced alterations of porcine immune functions, a number of immune capacity traits were analysed in the F2 generation of a Wild Boar--Yorkshire intercross. All traits were measured prior, and one day after, exposure to experimental 'stress' (mixing and transport). The 'stress' protocol induced a decrease in numbers of circulating neutrophils and in spontaneous proliferation in vitro, whereas phagocytic capacity, mitogen induced proliferation and spontaneous IL-2 activity increased. The IFN-alpha production tended to decrease, although the individual variation was pronounced. More than 200 genetic markers have been scored in the entire pedigree and were used to trace the inheritance of individual chromosome segments. Wild Boar alleles were on average associated with higher mitogen induced IL-2 activity and a slightly lower decrease in IFN-alpha production after mixing and transport. Four QTLs with significant effects were identified; one influencing 'stress' induced alteration in numbers of neutrophils (chromosome 8), one influencing spontaneous proliferation after 'stress' (chromosome 2), one influencing mitogen induced IL-2 activity after 'stress' (chromosome 6) and one influencing 'stress' induced alterations in mitogen induced IL-2 activity (chromosome 12). In addition, several suggestive QTLs were indicated.