A5080033859- Electron and X-Ray Spectroscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- Machine Learning in Materials Science
- Advanced X-ray and CT Imaging
- Cell Image Analysis Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Non-Destructive Testing Techniques
- Cellular Automata and Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- AI in cancer detection
- Image Retrieval and Classification Techniques
- Mineral Processing and Grinding
- Additive Manufacturing Materials and Processes
- Digital Image Processing Techniques
- Medical Image Segmentation Techniques
- Advancements in Photolithography Techniques
- Research Data Management Practices
- Thermography and Photoacoustic Techniques
- Advanced Data Storage Technologies
- Bone health and osteoporosis research
- Vascular Malformations Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Vascular Malformations and Hemangiomas
- Meta-analysis and systematic reviews
Object Research Systems (Canada)
2014-2024
Polytechnique Montréal
2016
Organ segmentation in medical imagery can be used to guide patient diagnosis, treatment and follow ups. In this paper, we present a fully automatic framework for kidney with convolutional networks (ConvNets) contrast-enhanced computerised tomography (CT) scans. our approach, ConvNet is trained using patch-wise approach predict the class membership of central voxel 2D patches. The kidneys then produced by densely running over each slice CT scan. Efficient predictions achieved transforming...
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Complex parts created through casting or 3D printing processes often possess intricate internal cavities that serve performance-critical functions. Non-destructive X-ray computed tomography (CT) testing plays a crucial role in the quality assurance process of turbine blades by allowing precise measurement channels, ensuring adherence to thermal and structural performance requirements. In our study, we utilize gas blade as case highlighting significance its flow channels. These channels are...
The microstructures of quenched and tempered steels have been traditionally explored by transmission electron microscopy (TEM) rather than scanning (SEM) since TEM offers the high resolution necessary to image structural details that control mechanical properties. However, microscopes, apart from providing larger area coverage, are commonly available cheaper purchase operate compared evolved considerably in terms resolution. This work presents detailed comparison microstructure...
Focused ion beam (FIB) tomography is a destructive technique used to collect three-dimensional (3D) structural information at resolution of few nanometers. For FIB tomography, material sample degraded by layer-wise milling. After each layer, the current surface imaged scanning electron microscope (SEM), providing consecutive series cross-sections sample. Especially for nanoporous materials, reconstruction 3D microstructure material, from collected during impaired so-called shine-through...
In this paper we describe a cellular automaton (CA) used to perform the watershed transform in N-D images. Our method is based on image integration via Ford-Bellman shortest paths algorithm. Due local nature of CA algorithms show that they are designed run massively parallel processors and therefore, be efficiently implemented low cost consumer graphical processing units (GPUs).
Abstract This paper discusses the development of an extensible programmatic workflow that leverages evolving technologies in 2D/3D imaging, distributed instrument control, image processing, and automated mechanical/chemical deprocessing technology. Initial studies involve backside mechanical ultra-thinning 65nm node IC processor chips combination with SEM imaging X-ray tomography. Areas as large 800μm x were deprocessed using gas-assisted plasma FIB delayering. Ongoing work involves...
Bone is a hierarchically organized biological material, and its strength usually attributed to overt factors such as mass, density, composition. Here we investigate covert factor - the topological blueprint, or network organization pattern of trabecular bone. This generally conserved metric an edge-and-node simplified presentation bone relates average coordination/valence nodes equiangular 3D offset trabeculae emanating from these nodes. We compare blueprint in presumably normal, fractured...
Journal Article Simplifying and Streamlining Large-Scale Materials Image Processing with Wizard-Driven Scalable Deep Learning Get access Benjamin Provencher, Provencher Object Research Systems. Montreal, Canada Search for other works by this author on: Oxford Academic Google Scholar Nicolas Piché, Piché Mike Marsh Denver, USA Corresponding author: mmarsh@theobjects.com Microscopy Microanalysis, Volume 25, Issue S2, 1 August 2019, Pages 402–403, https://doi.org/10.1017/S1431927619002745...
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Abstract Trabecular bone anisotropy, describing preferential trabecular co‐alignment, is a proxy for its long‐term loading history. anisotropy varies locally, thus rendering averaged calculations across an entire inutile. Here we present 3D mapping method using vector fields where each reflects the extent of local co‐alignment elementary units surface. maps hundreds thousands vectors were visualized by their magnitude and direction. Similarly, volume fraction was mapped as scalar fields. We...
In a time when engineers working in the additive manufacturing field are interested standardized x-ray computed tomography (XCT) image analysis workflow, an insight into higher resolution imaging and ground truth validation become invaluable. this work, we propose repeatable automated 2D/3D registration protocol between XCT volume laser confocal microscopy image, thus allowing correlative multiscale comparison study of flaw detection capabilities uncertainties additivelymanufactured parts....
Abstract Segmenting bone from background is required to quantify architecture in computed tomography (CT) image data. A deep learning approach using convolutional neural networks (CNN) a promising alternative method for automatic segmentation. The study objectives were evaluate the performance of CNNs segmentation human vertebral body (micro-CT) and femoral neck (nano-CT) data investigate segment across scanners. Scans L1 bodies (microCT [North Star Imaging], n=28, 53μm 3 ) necks (nano-CT...