3D Reference Research Articles

2D Spatially-Resolved Depth-Section Microfluidic Flow Velocimetry Using Dual Beam OCT.

A dual beam optical coherence tomography (OCT) instrument has been developed for flow measurement that offers advantages over microscope derived imaging techniques. It requires only a single optical access port, allows simultaneous imaging of the microfluidic channel, does not require fluorescent seed particles, and can provide a millimetre-deep depth-section velocity profile (as opposed to horizontal-section). The dual beam instrument performs rapid re-sampling of particle positions, allowing measurement of faster flows. In this paper, we develop the methods and processes necessary to make 2D quantitative measurements of the flow-velocity using dual beam OCT and present exemplar results in a microfluidic chip. A 2D reference measurement of the Poiseuille flow in a microfluidic channel is presented over a spanwise depth range of 700 μm and streamwise length of 1600 μm with a spatial resolution of 10 μm, at velocities up to 50 mm/s. A measurement of a more complex flow field is also demonstrated in a sloped microfluidic section.

Global/local analytical and numerical free vibration analysis of sandwich columns

Sandwich structures are increasingly applied in many industrial fields of application, due to their lightweight combined with favorable mechanical properties. Despite this, such structures are subject to specific failure modes, such as buckling or vibratory resonance. In both cases, due to the presence of thin and stiff skins, global but also local modes may be of great interest when dimensioning such composite structures, which makes it impossible to use classical models. In this paper, the free vibration problem of classical sandwich columns (with homogeneous core materials) is investigated, using special kinematic models, so as to deal with both global and local eigenmodes in an effective and precise way. First, the problem is addressed analytically, where the two faces are represented by Euler-Bernoulli beams and the core material is considered as a 2D continuous solid, in small strain elasticity. Then, an enriched 1D finite element formulation is developed, so as to handle efficiently more general configurations encountered in practice. The homogeneous core layer is here described using hyperbolic functions, in accordance with the modal displacement fields obtained analytically. The present analytical and numerical solutions (natural frequencies and vibration modes) are contrasted against each other and compared to 2D reference numerical results.

Considerations for Using the Vasculature as a Coordinate System to Map All the Cells in the Human Body.

Several ongoing international efforts are developing methods of localizing single cells within organs or mapping the entire human body at the single cell level, including the Chan Zuckerberg Initiative's Human Cell Atlas (HCA), and the Knut and Allice Wallenberg Foundation's Human Protein Atlas (HPA), and the National Institutes of Health's Human BioMolecular Atlas Program (HuBMAP). Their goals are to understand cell specialization, interactions, spatial organization in their natural context, and ultimately the function of every cell within the body. In the same way that the Human Genome Project had to assemble sequence data from different people to construct a complete sequence, multiple centers around the world are collecting tissue specimens from diverse populations that vary in age, race, sex, and body size. A challenge will be combining these heterogeneous tissue samples into a 3D reference map that will enable multiscale, multidimensional Google Maps-like exploration of the human body. Key to making alignment of tissue samples work is identifying and using a coordinate system called a Common Coordinate Framework (CCF), which defines the positions, or “addresses,” in a reference body, from whole organs down to functional tissue units and individual cells. In this perspective, we examine the concept of a CCF based on the vasculature and describe why it would be an attractive choice for mapping the human body.

Kinematic Modeling and Trajectory Tracking Control of an Octopus-Inspired Hyper-Redundant Robot

This letter addresses the kinematic modeling and control of hyper-redundant robots inspired by the octopus arm. We propose a discrete multi-segment model in which each segment is a 6-DoF Gough-Stewart parallel platform. Our model is novel in that it can reproduce all generic motions of an octopus arm, including elongation, shortening, bending, and particularly twisting, which is usually not included in such models, while enforcing the constant-volume property of the octopus arm. We use an approach that is inspired by the unique decentralized nervous system of the octopus arm to overcome challenges in solving the Inverse Kinematics (IK) problem, including the large number of solutions for this problem and the impracticality of numerical methods for real-time applications. We apply the pseudo-inverse Jacobian method to design a kinematic controller that drives the tip of the hyper-redundant robot to track a reference trajectory. We evaluate our proposed model and controller in simulation for a variety of 3D reference trajectories: a straight line, an ellipse, a sinusoidal path, and trajectories that emulate octopus-like reaching and fetching movements. The tip of the simulated hyper-redundant robot tracks the reference trajectories with average root-mean-square errors that are less than 0.3% of the robot's initial length, demonstrating the effectiveness of our modeling and control approaches.

Diffusion tensor based forearm nerve tractography in 1.5 T MRI

Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) method for efficient nerve pathways visualization. DTI, particularly of peripheral nerves, is commonly performed in 3 T scanners. An often more accessible 1.5 T scanners are less likely to be chosen for DTI examinations due to generally lower image quality. Novel radiofrequency (RF) coils can help improve the signal to noise ratio in MRI and thus improve image quality. This study preliminary results of the feasibility and outcomes assessment of DTI-based tractography of the forearm nerves employing a novel coil design in 1.5 T scanners. The proposed scanning protocol includes the use of a metamaterial-inspired RF coil, a common DTI pulse sequence and a 3D T1-weighted morphological reference pulse sequence. The protocol is tested on three healthy volunteers. Two tract bundles corresponding to median and ulnar nerves of the forearm are reliably reconstructed in all subjects. The results show that with an appropriate choice of RF coil and pulse sequence parameters forearm DTI studies can be performed in 1.5 T scanners with sufficient quality making such examination more accessible for clinical use.

A flexible 3D point reconstruction with homologous laser point array and monocular vision

A 3D recovery approach is achieved by the monocular vision sensor and the homologous laser point array with the arbitrary relative pose to the 2D reference. In the modeling process, firstly, the 3D texture board is moved to different positions in the view field of the vision sensor. Therefore, the laser rays intersect with the cubic board and generate laser points on it. Then, the Plücker matrices of the laser rays are determined by the laser points. The algebraic solution of the joint point of laser rays, the optic center of the projector, is contributed by the singular value decomposition. Thirdly, the laser rays are refined by the algebraic solution of the joint point and represented in the 2D-reference coordinate frame. Finally, the reconstruction is achieved by the calibrated laser rays of the projector. The reconstruction method is experimentally conducted to verify the performance and precision in various measurement conditions. The reconstruction error averages are 0.942 mm, 1.055 mm, 1.374 mm, 2.063 mm, under the 700 mm–1000 mm measuring distances between the vision sensor and the optic center. As there is no strict requirement for the relative installation position and orientation between the laser-ray projector and the 2D reference, the approach prompts the flexibility for the on-site active-vision measurement.

Pseudo-spiral sampling and compressed sensing reconstruction provides flexibility of temporal resolution in accelerated aortic 4D flow MRI: A comparison with k-t principal component analysis.

IntroductionTime‐resolved three‐dimensional phase contrast MRI (4D flow) of aortic blood flow requires acceleration to reduce scan time. Two established techniques for highly accelerated 4D flow MRI are k‐t principal component analysis (k‐t PCA) and compressed sensing (CS), which employ either regular or random k‐space undersampling. The goal of this study was to gain insights into the quantitative differences between k‐t PCA‐ and CS‐derived aortic blood flow, especially for high temporal resolution CS 4D flow MRI.MethodsThe scan protocol consisted of both k‐t PCA and CS accelerated 4D flow MRI, as well as a 2D flow reference scan through the ascending aorta acquired in 15 subjects. 4D flow scans were accelerated with factor R = 8. For CS accelerated scans, we used a pseudo‐spiral Cartesian sampling scheme, which could additionally be reconstructed at higher temporal resolution, resulting in R = 13. 4D flow data were compared with the 2D flow scan in terms of flow, peak flow and stroke volume. A 3D peak systolic voxel‐wise velocity and wall shear stress (WSS) comparison between k‐t PCA and CS 4D flow was also performed.ResultsThe mean difference in flow/peak flow/stroke volume between the 2D flow scan and the 4D flow CS with R = 8 and R = 13 was 4.2%/9.1%/3.0% and 5.3%/7.1%/1.9%, respectively, whereas for k‐t PCA with R = 8 the difference was 9.7%/25.8%/10.4%. In the voxel‐by‐voxel 4D flow comparison we found 13.6% and 3.5% lower velocity and WSS values of k‐t PCA compared with CS with R = 8, and 15.9% and 5.5% lower velocity and WSS values of k‐t PCA compared with CS with R = 13.ConclusionPseudo‐spiral accelerated 4D flow acquisitions in combination with CS reconstruction provides a flexible choice of temporal resolution. We showed that our proposed strategy achieves better agreement in flow values with 2D reference scans compared with using k‐t PCA accelerated acquisitions.

Reference values of the femur and tibia mechanical axes and angles in the sagittal plane, determined on the basis of three-dimensional modeling

Background: The reference values of the anatomical, mechanical lines and angles of the femur and tibia in the frontal plane have been sufficiently studied. At the same time, the data concerning the mechanical axis and angles in the sagittal plane are rather contradictory. Aims and objectives. The aim of this study was to determine the 3D reference values of the mechanical axes and angles of the femur and tibia in the sagittal plane. Materials and Methods: The study included data of 23 adult volunteers for whom computer tomography (CT) was done. The inclusion criteria were: absence of the deformity confirmed by long-leg films (using known reference lines and angles (RLA) assessment), absence of torsional deformity confirmed by CT and extended position of the limb. Results: It was found that the mechanical axis of the lower limb in the sagittal plane divides the distal joint line of the femur into two segments: anteriorly - 43.8+7.9%, posteriorly - 56.2+7.9%. The proximal joint line of the tibia, correspondingly, is divided into 23.3+8.8% anteriorly and 76.7+8.8% posteriorly. The found values of mechanical angles were the following: mechanical Posterior Proximal Femoral Angle (mPPFA) - 84.7 + 8.8 °, mechanical Posterior Distal Femoral Angle (mPDFA) - 81.1 + 3.95 °, mechanical Posterior Proximal Tibial Angle (mPPTA) - 81.6 + 2.8 °, mechanical Anterior Distal Tibial Angle (mADTA) - 79.9 + 2.98°. Conclusion: The obtained data on the mechanical axis of the lower limb for the sagittal plane can be used both for deformity assessing, planning and estimating the accuracy of deformity correction.

Conformity of pre-design studies on Lakhta-Center influence on the Saint Petersburg historical panorama and scenery spots

The present study is aimed to identify influence of Lakhta-Center visibility by means of photofixation results' analysis and their comparison with the results of the landscape and visual analysis performed by the Saint Petersburg Regional Committee of the International Council on Monuments and Sights (ICOMOS), report on research of Lakhta-Center high-rise dominant visibility influence on Saint Petersburg protected panoramas (2012), and assessment analysis of requested deviations' influence on formation of compositional and environmental characteristics of the urban environment based on a 3D reference model of the Saint Petersburg territory (2011). The study is supported by actual photos of cityscapes, thus, allowing assessing the situation reasonably and rationally. The performed work resulted in graphic materials, including photos and maps with reviews and classification of Lakhta-Center visibility upon perception of the main city panoramas from the tourist route combining the most popular sights of the city.

A Review on GRAPES-TMM Operational Model System at Guangzhou Regional Meteorological Center

This review summarizes the general developments of the operational mesoscale model system based on the Global/Regional Assimilation and Prediction System-Tropical Monsoon Model (GRAPES-TMM) at the Guangzhou Regional Meteorological Center. GRAPES-TMM consists of the Tropical Regional Atmospheric Model System for the South China Sea (TRAMS, a typhoon model with a horizontal resolution of 9 km), the Mesoscale Atmospheric Regional Model System (MARS, 3km) and the fine-scale Rapid Update Cycling (RUC, 1km) forecasting system. The main advances of model dynamical core and physical processes are summarized, including the development of the 3D reference atmosphere scheme, the coupling scheme between dynamics and model physics, the calculation of nonlinear terms by fractional steps, the gravity wave drag scheme induced by sub-grid orography and a simplified model for landsurface scheme. The progress of model applications is reviewed and evaluated. The results show that the updated 9-3-1 forecasting system provides an overall improved performance on the weather forecasting in south China, especially for typhoon-genesis and typhoon-track forecasting as well as short-range weather forecasting. Capabilities and limitations as well as the future development of the forecasting system are also discussed.

Three-dimensional trajectory tracking control of underactuated autonomous underwater vehicles

This study proposes a three-dimensional (3D) trajectory-tracking control scheme for an underactuated autonomous underwater vehicle (AUV). Given the 3D reference trajectory, the reference velocities, angles, angular velocities, force, and torques were planned first. These reference variables were used to obtain the error dynamics. The backstepping technique was used to design the trajectory-tracking controller for tracking the AUVs reference trajectory. According to the Lyapunov stability theory, the trajectory-tracking system was stable and bounded, and the tracking errors converged close to a small neighbourhood of zero. Finally, the effectiveness of the developed control method was demonstrated using simulations.

Local Foreground Removal Disocclusion Filling Method for View Synthesis

View synthesis is an effective method to generate the contents of multiple views based on a limited number of reference views, which can be used in 2D to 3D conversion, free viewpoint video and multiview video rendering. Depth-image-based rendering (DIBR) is a practical technique to generate virtual view by using a 2D reference view and its depth image. However, a critical problem in DIBR process is that disocclusions might be produced in the synthesized image because the background occluded by the foreground objects in the reference view may be exposed in the virtual view. In this paper, a local foreground removal method is proposed for disocclusion filling. Morphology-based depth image preprocessing is performed before DIBR, aiming to correct the depth value of the ghosts and remove ghost artifacts. In the synthesized virtual image, pixels on the disocclusion edge are identified and classified. Then they are positioned in the reference image by inverse 3D warping. Local foreground regions that occlude the corresponding background are removed from both the reference image and its depth image based on the disocclusion edge pixels. Removed region is filled with surrounding background contents, and depth information is used in this process to prevent foreground penetration. The predicted background contents are warped to the disocclusion region, thereby achieving the hole filling. Experimental results show that the proposed method performs better than the other methods in disocclusion filling, and improves the subjective and objective quality of the synthesized view. In the evaluation results of PSNR, SSIM, FSIMc and VSI, our method improves by 0.32-2.43dB, 0.0036-0.0155, 0.0041-0.0198 and 0.0012-0.0057 respectively compared with competitive methods.

Homogenised formulation for plates with thick constrained viscoelastic core

The present work analyses the dynamic behaviour of constrained layer damping (CLD) plates with thick viscoelastic layer. The bending modes and transverse response of such plates are obtained by adapting the Kirchhoff–Love thin plate formulation so that it considers the shear stiffness by using a frequency dependent equivalent flexural stiffness.The developed formulation is introduced in a finite element model and compared to the widely used RKU model and a reference 3D solid model in terms of eigenpairs and amplitude of the response for different boundary conditions.It is concluded that the developed formulation can substitute either a 3D or RKU model as it requires less computational resources than the former and provides more accurate results than the latter.

Vision reconstruction based on planar laser with nonrestrictive installation position and posture relative to 2D reference.

The active-vision-based reconstruction is an advanced approach to characterize the spatial object. In the active vision, the planar laser is a kind of the moderate structured light for the robustness and adaptivity in the complicated illumination environment. However, as the planar laser is determined by 3 unknown degrees of freedom, the laser sensor should be calibrated in the immovable coordinate frame of reference (CFR), or be pre-calibrated in the coordinate frame of the camera (CFC) and moved with CFC. In the study, as the main improvement, the laser plane is attached to the simple 2D reference without strict constraints of the relative installation position and posture. The laser plane is desired to be flexibly moved and registered in CFC. The calibration is modeled by the closed loop of the camera, the cylindrical object, the planar laser and the 2D reference, in which the camera is twice considered as the bridge between the cylindrical object and the 2D reference. The calibration contributes the planar laser that is determined as a constant vector in CFR. Furthermore, the reconstruction is performed by the calibrated laser plane and refined by the optimization method. The method errors of 1.263, 1.517, 1.633, and 1.803 mm are evaluated by the experiments, which indicate the flexibility of the method and applicable prospects in the spatial reconstruction field.

Evaluation of condylar asymmetry in different skeletal patterns with cone-beam CT

The aim of this study was to evaluate condylar asymmetry in different skeletal patterns with cone-beam CT (CBCT). A total of 110 subjects aged from 18 to 30 years were selected from patients who had undergone CBCT examinations retrospectively. All the subjects were divided into three groups according to their skeletal patterns: Class Ⅰ (Cl Ⅰ: 0°≤ANB≤5°), Class Ⅱ (Cl Ⅱ: ANB>5°) and Class Ⅲ (Cl Ⅲ: ANB<0°). In addition, each group was further divided into two subgroups according to genders. Condylar (Co-Sig), ramus (Go-Sig) and condyle-plus-ramus (Co-Go) asymmetry were assessed by identifying landmarks on the reconstructed images with a 3-dimentional (3D) reference plane. The coordinates of the landmarks were calculated statistically. The data were analyzed statistically with SPSS17.0 software package. The condyle-plus-ramus and ramus asymmetry (Co-Go R-L and Go-Sig R-L) were affected by the ANB angle (P<0.05) respectively, and the differences mainly came from the y coordinate (P<0.05). When comparing the two sides of the three groups respectively, the Co-Go, Go-Sig and Co-Sig of some patients had gender difference and left-right difference. The z coordinate of point Menton (Me) had significant difference (P<0.05) caused by different skeletal patterns, while the coordinates of x and y were similar (P>0.05). Condyle-plus-ramus and the ramus asymmetry were affected by different skeletal patterns and the differences were caused by the height primarily. Patients of Class Ⅲ usually manifest mandibular protrusion while Class Ⅱ with mandibular retrognathism. Whether the degree of chin deviation differs according to the condylar asymmetry needs further investigation.

QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain.

Transgenic animal models are invaluable research tools for elucidating the pathways and mechanisms involved in the development of neurodegenerative diseases. Mechanistic clues can be revealed by applying labelling techniques such as immunohistochemistry or in situ hybridisation to brain tissue sections. Precision in both assigning anatomical location to the sections and quantifying labelled features is crucial for output validity, with a stereological approach or image-based feature extraction typically used. However, both approaches are restricted by the need to manually delineate anatomical regions. To circumvent this limitation, we present the QUINT workflow for quantification and spatial analysis of labelling in series of rodent brain section images based on available 3D reference atlases. The workflow is semi-automated, combining three open source software that can be operated without scripting knowledge, making it accessible to most researchers. As an example, a brain region-specific quantification of amyloid plaques across whole transgenic Tg2576 mouse brain series, immunohistochemically labelled for three amyloid-related antigens is demonstrated. First, the whole brain image series were registered to the Allen Mouse Brain Atlas to produce customised atlas maps adapted to match the cutting plan and proportions of the sections (QuickNII software). Second, the labelling was segmented from the original images by the Random Forest Algorithm for supervised classification (ilastik software). Finally, the segmented images and atlas maps were used to generate plaque quantifications for each region in the reference atlas (Nutil software). The method yielded comparable results to manual delineations and to the output of a stereological method. While the use case demonstrates the QUINT workflow for quantification of amyloid plaques only, the workflow is suited to all mouse or rat brain series with labelling that is visually distinct from the background, for example for the quantification of cells or labelled proteins.

Nonlinear analysis of compact and thin-walled metallic structures including localized plasticity under contact conditions

This work presents the numerical analysis of elastoplastic contact problems of compact and thin-walled metallic structures. The emphasis is on the use of higher-order 1D elements with pure displacement variables and based on the Carrera Unified Formulation (CUF) to capture localized effects and cross-sectional distortions. Contact interactions are normal and frictionless via a node-to-node contact algorithm with the penalty approach for contact enforcement. The analysis considers the material nonlinearity via the von Mises constitutive law. Numerical assessments compare the CUF solutions with 3D finite element analysis concerning the solution quality, computational size, and analysis time. The results show the ability of 1D CUF models of accurately evaluating localized deformations and plasticity. The CUF results are in good agreement with reference 3D finite element solutions, and require an order of magnitude fewer degrees of freedom and analysis time, making them computationally efficient.

Intermodality feature fusion combining unenhanced computed tomography and ferumoxytol-enhanced magnetic resonance angiography for patient-specific vascular mapping in renal impairment

ObjectiveThe purpose of this study was to establish the feasibility of fusing complementary, high-contrast features from unenhanced computed tomography (CT) and ferumoxytol-enhanced magnetic resonance angiography (FE-MRA) for preprocedural vascular mapping in patients with renal impairment. MethodsIn this Institutional Review Board-approved and Health Insurance Portability and Accountability Act-compliant study, 15 consecutive patients underwent both FE-MRA and unenhanced CT scanning, and the complementary high-contrast features from both modalities were fused to form an integrated, multifeature image. Source images from CT and MRA were segmented and registered. To validate the accuracy, precision, and concordance of fused images to source images, unambiguous landmarks, such as wires from implantable medical devices or indwelling catheters, were marked on three-dimensional (3D) models of the respective modalities, followed by rigid co-registration, interactive fusion, and fine adjustment. We then compared the positional offsets using pacing wires or catheters in the source FE-MRA (defined as points of interest [POIs]) and fused images (n = 5 patients, n = 247 points). Points within 3D image space were referenced to the respective modalities: x (right-left), y (anterior-posterior), and z (cranial-caudal). The respective 3D orthogonal reference axes from both image sets were aligned, such that with perfect registration, a given point would have the same (x, y, z) component values in both sets. The 3D offsets (Δx mm, Δy mm, Δz mm) for each of the corresponding POIs represent nonconcordance between the source FE-MRA and fused images. The offsets were compared using concordance correlation coefficients. Interobserver agreement was assessed using intraclass correlation coefficients and Bland-Altman analyses. ResultsThirteen patients (aged 76 ± 12 years; seven female) with aortic valve stenosis and chronic kidney disease and two patients with thoracoabdominal vascular aneurysms and chronic kidney disease underwent FE-MRA for preprocedural vascular assessment, and unenhanced CT examinations were available in all patients. No ferumoxytol-related adverse events occurred. There were 247 matched POIs evaluated on the source FE-MRA and fused images. In patients with implantable medical devices, the mean offsets in spatial position were 0.31 ± 0.51 mm (ρ = 0.99; Cb = 1; 95% confidence interval [CI], 0.99-0.99) for Δx, 0.27 ± 0.69 mm (ρ = 0.99; Cb = 0.99; 95% CI, 0.99-0.99) for Δy, and 0.20 ± 0.59 mm (ρ = 1; Cb = 1; 95% CI, 0.99-1.00) for Δz. Interobserver agreement was excellent (intraclass correlation coefficient, >0.99). The mean difference in offset between readers was 1.5 mm. ConclusionsAccurate 3D feature fusion is feasible, combining luminal information from FE-MRA with vessel wall information on unenhanced CT. This framework holds promise for combining the complementary strengths of magnetic resonance imaging and CT to generate information-rich, multifeature composite vascular images while avoiding the respective risks and limitations of both modalities.

OpenSketch

Product designers extensively use sketches to create and communicate 3D shapes and thus form an ideal audience for sketch-based modeling, non-photorealistic rendering and sketch filtering. However, sketching requires significant expertise and time, making design sketches a scarce resource for the research community. We introduce OpenSketch , a dataset of product design sketches aimed at offering a rich source of information for a variety of computer-aided design tasks. OpenSketch contains more than 400 sketches representing 12 man-made objects drawn by 7 to 15 product designers of varying expertise. We provided participants with front, side and top views of these objects, and instructed them to draw from two novel perspective viewpoints. This drawing task forces designers to construct the shape from their mental vision rather than directly copy what they see. They achieve this task by employing a variety of sketching techniques and methods not observed in prior datasets. Together with industrial design teachers, we distilled a taxonomy of line types and used it to label each stroke of the 214 sketches drawn from one of the two viewpoints. While some of these lines have long been known in computer graphics, others remain to be reproduced algorithmically or exploited for shape inference. In addition, we also asked participants to produce clean presentation drawings from each of their sketches, resulting in aligned pairs of drawings of different styles. Finally, we registered each sketch to its reference 3D model by annotating sparse correspondences. We provide an analysis of our annotated sketches, which reveals systematic drawing strategies over time and shapes, as well as a positive correlation between presence of construction lines and accuracy. Our sketches, in combination with provided annotations, form challenging benchmarks for existing algorithms as well as a great source of inspiration for future developments. We illustrate the versatility of our data by using it to test a 3D reconstruction deep network trained on synthetic drawings, as well as to train a filtering network to convert concept sketches into presentation drawings. We distribute our dataset under the Creative Commons CC0 license: https://ns.inria.fr/d3/OpenSketch.

Numerical investigation of particle behavior and cladding oxidation in a PWR fuel bundle by CFD methodology

The knowledge of local conditions in a PWR reactor core at high temperature and pressure are important for the optimization of the fuel assembly reliability. In particular it is of interest to distinguish between the effects of the local temperature distribution, the effects of the local concentration of the moderator’s chemical or structural components and the effects of the cladding material property variations to better interpret inspection results of fuel assemblies and to improve conclusions for design optimization.Since local parameters cannot be measured during operation, Computational Fluid Dynamics (CFD) is the method of choice to calculate the local fuel rod conditions. For example, the movement of discrete, virtual particles in the moderator can today already be simulated by a Lagrangian model with the particle tracking approach for CRUD deposition simulation. The development of a reference 3D PWR corrosion and CRUD deposition model was started which can calculate local parameters on a fuel rod surface to predict oxide thickness and component deposition taking into account the mixing effects during the moderator transport. The calculated 2D surface coolant temperatures were coupled to a dedicated fuel rod corrosion model, covering the full fuel rod in azimuthal and axial direction.