Rémi Ammann, C. Tanner, G. Schulz, Bekim Osmani, Prasad Nalabothu, Tino Töpper, B. Müller
{"title":"Three-dimensional analysis of aligner gaps and thickness distributions using advanced laboratory-based hard x-ray tomography","authors":"Rémi Ammann, C. Tanner, G. Schulz, Bekim Osmani, Prasad Nalabothu, Tino Töpper, B. Müller","doi":"10.1117/12.2592821","DOIUrl":"https://doi.org/10.1117/12.2592821","url":null,"abstract":"Physical and mechanical properties of aligners determine the clinical success of orthodontic treatments. A main element of the successful orthodontic tooth movements is the fitting of the aligner’s surface to the backside of the related teeth. The complex human tooth anatomy and the aligner’s production make gaps inevitable. The aim of the tomography study is the morphological assessment of the recently introduced NaturAligner (Bottmedical AG, Basel, Switzerland). Using the advanced micro-CT system (nanotom m, phoenix|xray, Waygate Technologies, Wunstorf, Germany), a series of eight different aligners, placed on the 3D-printed model of the upper jaw, were visualized. Based on these 3D datasets, the gaps between model and aligner were automatically segmented and the thickness distribution of the aligners automatically determined. This quantification, validated by manual inspection, clearly indicated that aligners fitted better the model, when higher process temperatures were applied.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121959917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryosuke Ueda, Koh Hashimoto, H. Takano, Mingjian Cai, A. Momose
{"title":"Reconstruction method for grating-based x-ray phase tomographic microscope","authors":"Ryosuke Ueda, Koh Hashimoto, H. Takano, Mingjian Cai, A. Momose","doi":"10.1117/12.2595498","DOIUrl":"https://doi.org/10.1117/12.2595498","url":null,"abstract":"Phase imaging has a higher sensitivity for low-Z materials than the conventional absorption imaging. We have developed a high-resolution X-ray phase microscope in combination with a Lau interferometer and used it for phase tomography. However, the existing method cannot avoid artifacts originating from the assumption of a two-beam interference model. In this study, we use a three-wave interference model to reduce the artifacts and propose a new method to attain phase tomography. In the presentation, we will demonstrate the reduction of the artifacts with the results of phase tomography.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"30 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Marathe, R. Ziesche, G. Das, S. Schroeder, E. Baird
{"title":"High-speed grating interferometry","authors":"S. Marathe, R. Ziesche, G. Das, S. Schroeder, E. Baird","doi":"10.1117/12.2598481","DOIUrl":"https://doi.org/10.1117/12.2598481","url":null,"abstract":"We present the most recent advances in fast X-ray grating interferometer and their applications. \u0000A dedicated setup for rapid scanning with a single grating and using filtered broadband illumination of an undulator source has been implemented. With this setup tomographic scans can be achieved within minutes. Larger number of samples can be measured and chemical processes can be studied. Improvements in the data processing technique will be presented. We will also describe the new capabilities and applications.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Shaker, G. M. Saladino, C. Vogt, Yurika Katsu-Jiménez, B. Brodin, R. Kuiper, K. Andersson, Yuyang Li, Jakob C. Larsson, M. Svenda, Aida Rodriguez-Garcia, M. Toprak, Marie Arsenian-Henriksson, H. Hertz
{"title":"Laboratory x-ray fluorescence computed tomography for in vivo preclinical imaging","authors":"K. Shaker, G. M. Saladino, C. Vogt, Yurika Katsu-Jiménez, B. Brodin, R. Kuiper, K. Andersson, Yuyang Li, Jakob C. Larsson, M. Svenda, Aida Rodriguez-Garcia, M. Toprak, Marie Arsenian-Henriksson, H. Hertz","doi":"10.1117/12.2595614","DOIUrl":"https://doi.org/10.1117/12.2595614","url":null,"abstract":"Laboratory x-ray fluorescence (XRF) computed tomography (XFCT) with nanoparticles (NPs) as contrast agents now allows for in vivo preclinical imaging and longitudinal studies at low radiation dose. We present on developments of our XFCT arrangement capable of low-dose (<25 mGy) imaging with high signal-to-background resulting in high-spatial-resolution (200-400 μm) in vivo imaging of Ru, Rh and Mo NPs injected and accumulated locally in mice. We further demonstrate multiplexing capabilities by cross-talk-free separation of Ru, Rh and Mo XRF signal as well as envisioning the future of preclinical XFCT for active targeting and imaging of molecular markers (e.g., cancer cells).","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Andrew, Lars Omlor, A. Andreyev, ravikumar Sanapala, M. S. Khoshkhoo
{"title":"New technologies for x-ray microscopy: phase correction and fully automated deep learning based tomographic reconstruction","authors":"M. Andrew, Lars Omlor, A. Andreyev, ravikumar Sanapala, M. S. Khoshkhoo","doi":"10.1117/12.2596592","DOIUrl":"https://doi.org/10.1117/12.2596592","url":null,"abstract":"We introduce two new technologies which significantly improve X-ray microscopy image quality and contrast through the removal of spurious or undesired reconstructed signal. First, we introduce the first technique for the fully automated training of deep learning networks for X-ray reconstruction – DeepRecon Pro. These networks can remove or greatly reduce two major contributors to spurious reconstructed image signal; random noise and sparse sampling artefacts. These two sources of spurious signal are discussed, showing how they can be differentiated, characterized, and removed with correctly trained reconstruction networks. This is showcased on a synthetic rock sample high in spurious image signal. Both the pure noise field and the sparse sampling artefact field were calculated, with the pure noise field being approximately pixelwise random, whereas the artefact field had a much larger characteristic spatial wavelength (the precise structure of this field is highly sample dependent). We then show the performance of this technology across a range of datasets, all of which show a robust and consistent loss pattern, and greatly reduced image noise and artefact levels. We also test network performance on a series of datasets outside the network’s training region, showing a consistent high level of performance. Finally, we introduce a technique which allows for the complete removal of propagation phase contrast artefacts which can become the dominant contrast mechanism when imaging at high resolution or at low kV. The removal of this effect reveals the inherent reconstructed material contrast which can then be much more effectively denoised, segmented or analyzed.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A compact light source for high-throughput x-ray tomography applications","authors":"B. Hornberger, J. Kasahara","doi":"10.1117/12.2593614","DOIUrl":"https://doi.org/10.1117/12.2593614","url":null,"abstract":"There is a large performance gap between X-ray tomography instruments with conventional laboratory X-ray sources and synchrotron radiation sources. An Inverse Compton Scattering (ICS) source can provide a narrow-band, high flux and tunable X-ray source that fits into a laboratory at a cost of a few percent of a large synchrotron facility. Here we present an ICS source design that is more than two orders of magnitude brighter than sources currently in operation, well-suited for high resolution, micro-CT imaging of millimeter-sized samples at micron resolution, with a flux density similar to some high-energy synchrotron beamlines.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121330589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High-resolution interior tomography with a deep neural network trained on a low-resolution dataset","authors":"Mengzhou Li, W. Cong, Ge Wang","doi":"10.1117/12.2594286","DOIUrl":"https://doi.org/10.1117/12.2594286","url":null,"abstract":"Micro-/nano-CT has been widely used in practice to offer noninvasive 3D high-resolution (HR) imaging. However, increased resolution is often at a cost of a reduced field of view. Although data truncation does not corrupt high-contrast structural information in the filtered back-projection (FBP) reconstruction, the quantitative interpretation of image values is seriously compromised due to the induced shifting and cupping artifacts. State-of-the-art deep-learning-based methods promise fast and stable solutions to the interior reconstruction problem compared to analytic and iterative algorithms. Nevertheless, given the huge effort required to obtain HR global scans as the ground truth for network training, deep networks cannot be developed in a typical supervised training mode. To overcome this issue, here we propose to train the network with a low-resolution (LR) dataset generated from LR global scans which are relatively easily obtainable and obtained excellent results.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130250078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Thiry, F. Beckmann, J. Hammel, J. Moosmann, F. Wilde
{"title":"Brilliant light for materials science: Industrial applications of the high energy microtomography at beamline HEMS/P07 at PETRA III","authors":"M. Thiry, F. Beckmann, J. Hammel, J. Moosmann, F. Wilde","doi":"10.1117/12.2596669","DOIUrl":"https://doi.org/10.1117/12.2596669","url":null,"abstract":"GEMS is the user platform of Helmholtz-Zentrum Geesthacht with a unique infrastructure for complementary research with photons and neutrons. The instruments using synchrotron radiation are operated at DESY in Hamburg, the instruments using neutrons are located at the research reactor FRM II of the Heinz Maier-Leibnitz Center (MLZ) in Garching near Munich. GEMS provides methods for applied materials research to user groups from both industry and science. At the PETRA III synchrotron storage ring of the German Electron Synchrotron (DESY), GEMS operates instruments for tomographic analyses from the micro- to the nanoscale. The high-energy tomography station of the beamline HEMS/P07 uses photon energies from 50 to 200 keV. A robot sample changer enables automated high-throughput measurements. The beamline is therefore of special interest for industrial users, especially from the metal industry sector. In this contribution we introduce the tomography set-up at HEMS and the possibilities for industrial access, together with examples for tomography of challenging highly-absorbing samples.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116087403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Romell, V. W. Jie, A. Miettinen, E. Baird, H. Hertz
{"title":"Stain-free virtual histology of Bombus terrestris compound eyes by laboratory phase-contrast nano-CT","authors":"J. Romell, V. W. Jie, A. Miettinen, E. Baird, H. Hertz","doi":"10.1117/12.2595737","DOIUrl":"https://doi.org/10.1117/12.2595737","url":null,"abstract":"The visual systems of pollinating insects are studied to understand the effects of a changing environment, and are to date imaged using microscopy or micro-CT. Microscopy only allows two-dimensional imaging and conventional micro-CT requires heavy-metal staining of the samples. Here we present virtual histology of compound eyes of bumblebee (Bombus terrestris) using a laboratory nano-CT system. Propagation-based phase-contrast CT allows three-dimensional imaging of samples without using any staining. Micrometre-resolution images of the microanatomy of the eyes were reconstructed, and the features identified in CT (cornea, crystalline cones, pigment, photoreceptor cells, basement membrane) were confirmed with electron microscopy.","PeriodicalId":160373,"journal":{"name":"Developments in X-Ray Tomography XIII","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128941723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}