Article
Radiology, Nuclear Medicine & Medical Imaging
Seyedamir Tavakoli Taba, Benedicta D. Arhatari, Yakov I. Nesterets, Ziba Gadomkar, Sheridan C. Mayo, Darren Thompson, Jane Fox, Beena Kumar, Zdenka Prodanovic, Daniel Hausermann, Anton Maksimenko, Christopher Hall, Matthew Dimmock, Konstantin M. Pavlov, Darren Lockie, Masoumeh Gity, Andrew Peele, Harry M. Quiney, Sarah Lewis, Timur E. Gureyev, Patrick C. Brennan
Summary: This study aimed to optimize the experimental conditions of Propagation-based phase-contrast CT (PB-CT) for breast cancer imaging and found that it achieved higher image quality compared to conventional absorption-based CT (AB-CT) even at lower doses, potentially improving breast cancer diagnosis.
ACADEMIC RADIOLOGY
(2021)
Article
Optics
Stefano Van Gogh, Michal Rawlik, Alexandre Pereira, Simon Spindler, Subhadip Mukherjee, Marie-Christine Zdora, Martin Stauber, Rima Alaifari, Zsuzsanna Varga, Marco Stampanoni
Summary: X-ray grating interferometry CT (GI-CT) is an emerging imaging modality that provides three complementary contrasts - absorption, phase, and dark-field, increasing the diagnostic content of clinical breast CT. However, reconstructing the three image channels under clinically compatible conditions is challenging due to severe ill-conditioning of the tomographic reconstruction problem. In this study, a novel reconstruction algorithm was proposed to automatically fuse the absorption and phase channels, improving the performance of GI-CT compared to conventional CT at a clinical dose.
Article
Radiology, Nuclear Medicine & Medical Imaging
Corey T. Jensen, Shiva Gupta, Mohammed M. Saleh, Xinming Liu, Vincenzo K. Wong, Usama Salem, Wei Qiao, Ehsan Samei, Nicolaus A. Wagner-Bartak
Summary: This study compared reduced-dose deep learning image reconstruction with standard-dose filtered back projection contrast-enhanced abdominal CT in evaluating liver metastases and image quality. The results showed that deep learning image reconstruction improved CT image quality while reducing radiation dose, with superior performance in detecting liver lesions larger than 0.5 cm.
Article
Radiology, Nuclear Medicine & Medical Imaging
Motonori Nagata, Yasutaka Ichikawa, Kensuke Domae, Kazuya Yoshikawa, Yoshinori Kanii, Akio Yamazaki, Naoki Nagasawa, Masaki Ishida, Hajime Sakuma
Summary: The purpose of this study is to evaluate whether the deep learning-based denoising algorithm provides sufficient image quality at a lower radiation dose for abdominal CT scans. The results show that the DLD algorithm in the reduced-dose CT provides lower image noise and higher contrast-to-noise ratio compared to the standard-dose CT with hybrid IR.
JOURNAL OF DIGITAL IMAGING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Reya V. Gupta, Mannudeep K. Kalra, Shadi Ebrahimian, Parisa Kaviani, Andrew Primak, Bernardo Bizzo, Keith J. Dreyer
Summary: Concerns over the need for optimizing and reducing CT radiation dose have led to the introduction of artificial intelligence (AI) technologies for CT dose optimization and image quality improvement. However, variations in scanner technologies, reconstruction methods, and scan protocols can result in substantial differences in radiation doses and image quality, which can in turn affect the performance of AI algorithms used for various tasks.
ACADEMIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Huang Wang, Lu-Lu Li, Jin Shang, Jian Song, Bin Liu
Summary: This study compares the image quality of reduced-dose DLIR images with standard-dose ASIR-V images in chest CT. It found that DLIR can reduce image noise while maintaining similar image quality compared to the standard-dose images.
BRITISH JOURNAL OF RADIOLOGY
(2022)
Article
Optics
Gang Wen, Simin Li, Linbo Wang, Xiaohu Chen, Zhenglong Sun, Yong Liang, Xin Jin, Yifan Xing, Yaming Jiu, Yuguo Tang, Hui Li
Summary: HiFi-SIM is a high-fidelity SIM reconstruction algorithm that can reduce artifacts and improve axial sectioning without loss of fine structures, making it a daily imaging tool with lower calibration and adjustment requirements.
LIGHT-SCIENCE & APPLICATIONS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
L. M. Arana Pena, S. Donato, D. Bonazza, L. Brombal, F. Martellani, F. Arfelli, G. Tromba, R. Longo
Summary: Phase-contrast imaging techniques are used to improve soft-tissue contrast in X-ray imaging. This study optimized propagation-based phase-contrast computed tomography techniques for breast imaging and compared it with micro-CT imaging. The results showed a clear transition from whole breast imaging to virtual histology, offering high-resolution and precise matching between virtual and conventional histology.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rongbiao Tang, Yongfang Li, Le Qin, Fuhua Yan, Guo-Yuan Yang, Ke-Min Chen
Summary: This study evaluated the feasibility of using PR-based PCCT with microbubble contrast agent for vascular imaging. Results showed that microbubbles provided weaker contrast enhancement compared to iodine, but still sufficient for imaging rat aortas. The imaging modality can currently be used as a complement or alternative to absorption-based microCT for imaging vessels in biological samples.
Article
Optics
Oriol Roche I. Morgo, Jure Aleksejev, Alberto Astolfo, Savvas Savvidis, Mattia F. M. Gerli, Silvia Cipiccia, Alessandro Olivo, Charlotte K. Hagen
Summary: Cycloidal computed tomography combines beam modulation with under-sampling to provide high-resolution images in short scan times. A new position tracking technique using a sharp edge has been developed, which improves the reconstruction process and enables the implementation of innovative sampling schemes.
Article
Optics
Zachary H. Levine, Edward J. Garboczi, Adele P. Peskin, Axel A. Ekman, Elisabeth Mansfield, Jason D. Holm
Summary: A reconstruction algorithm for partially coherent x-ray computed tomography (XCT) including Fresnel diffraction is developed and applied to an optical fiber, resulting in a more accurate reconstruction.
Article
Computer Science, Artificial Intelligence
Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao, Dinggang Shen
Summary: This article proposes a learning-based method to reconstruct high-dose positron emission tomography (PET) images from low-dose PET images and corresponding total-body computed tomography (CT) images. The proposed hierarchical framework can consistently improve the performance of all body parts and outperforms the state-of-the-art methods in single-photon emission computed tomography (SPET) image reconstruction, with a peak signal-to-noise ratio (PSNR) of 30.6 dB for total-body PET images.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoxiao Zhang, Gumuyang Zhang, Lili Xu, Xin Bai, Jiahui Zhang, Min Xu, Jing Yan, Daming Zhang, Zhengyu Jin, Hao Sun
Summary: In this study, the diagnostic capability, image quality, and radiation dose of abdominal ultra-low-dose CT (ULDCT) with deep learning reconstruction (DLR) for detecting renal calculi were evaluated. The results showed that ULDCT combined with DLR significantly reduced the radiation dose while maintaining suitable image quality and stone detection rate.
INSIGHTS INTO IMAGING
(2022)
Article
Computer Science, Information Systems
Weiwei Zhang, Zhen Zhou, Zhifan Gao, Guang Yang, Lei Xu, Weiwen Wu, Heye Zhang
Summary: In this paper, a multiple adversarial learning based angiography reconstruction framework is proposed to enhance vascular intensity. A bilateral learning mechanism is developed to establish a relationship between source and target domains. A dual correlation constraint is introduced to characterize distribution uniformity from across-domain features and sample inconsistency within domain simultaneously. An adaptive fusion module is explored to alleviate the interference of high-noise metal. Experimental results demonstrate the effectiveness of the proposed framework for angiography reconstruction.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Optics
Nghia T. Vo, Robert C. Atwood, Michael Drakopoulos, Thomas Connolley
Summary: Parallel-beam tomography systems at synchrotron facilities face limitations in field of view for processing large samples, requiring different data acquisition schemes. The lack of software and methods for such scanning techniques has hindered their widespread use. The Algotom package offers methods and implementations for processing these data types efficiently and effectively.
Article
Physics, Applied
L. Brombal, F. Arfelli, F. Brun, F. Longo, N. Poles, L. Rigon
Summary: Accurate simulation tools are important for the design and optimization of x-ray phase-contrast imaging setups. This study presents a practical implementation of x-ray phase-contrast in Geant4 and validates the simulation results against theoretical predictions.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2022)
Article
Optics
S. J. Alloo, D. M. Paganin, K. S. Morgan, T. E. Gureyev, S. C. Mayo, S. Mohammadi, D. Lockie, R. H. Menk, F. Arfelli, F. Zanconati, G. Tromba, K. M. Pavlov
Summary: Propagation-based phase-contrast x-ray imaging (PB-PCXI) is a useful technique for imaging weakly attenuating samples, providing better contrast than conventional attenuation-based imaging. In this study, a PB-PCXI algorithm is proposed to extract the x-ray attenuation and refraction information of complex materials from an unknown sample, without prior information. The algorithm involves curve fitting an error-function-based model to a phase-retrieved interface, allowing for the calculation of true attenuation and refraction values.
Article
Plant Sciences
Andrea Ganthaler, Andreas Baer, Birgit Daemon, Adriano Losso, Andrea Nardini, Christian Dullin, Giuliana Tromba, Georg von Arx, Stefan Mayr
Summary: The study reveals a high proportion of persistent xylem dysfunctions in unstressed Alpine dwarf shrubs, occurring in various but species-specific cross-sectional patterns. These dysfunctions reduce the specific hydraulic conductivity and are only partially reversible, indicating the importance of understanding the nature and prevalence of such dysfunctions in assessing plant hydraulic strategies.
PLANT CELL AND ENVIRONMENT
(2022)
Article
Chemistry, Multidisciplinary
Francesco Simone Mensa, Maurizio Muzzi, Federica Spani, Giuliana Tromba, Christian Dullin, Andrea Di Giulio
Summary: This study demonstrates the feasibility of using micro-CT to reconstruct the morphology of insects in three dimensions, with different preparation methods affecting the reconstruction outcomes.
APPLIED SCIENCES-BASEL
(2022)
Article
Veterinary Sciences
Louisa Albers, Jonas Albers, Christian Dullin, Carsten Staszyk, Astrid Bienert-Zeit
Summary: It is difficult to achieve early diagnosis of Equine Odontoclastic Tooth Resorption and Hypercementosis (EOTRH) and other resorptive incisor diseases in clinical practice. This study described and evaluated the radiographic features of early incisor lesions using multiple examination methods, and found that these lesions are challenging to detect on the palatal/lingual side of the teeth.
EQUINE VETERINARY JOURNAL
(2023)
Article
Optics
Timur E. Gureyev, Harry M. Quiney, Leslie J. Allen
Summary: This paper proposes a method for high-resolution, three-dimensional reconstruction of internal structures of objects. The method can be used with any form of radiation or matter waves, as long as the depth of field is smaller than the thickness of the sample. The paper elucidates the physical optics basis for the method and presents the reconstruction algorithm in detail. A simulated example demonstrates the application of the method to three-dimensional electron transmission imaging.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
(2022)
Article
Materials Science, Multidisciplinary
Timur E. Gureyev, David M. Paganin, Hamish G. Brown, Harry M. Quiney, Leslie J. Allen
Summary: This study presents a method for three-dimensional reconstruction of objects from defocused images collected at multiple illumination directions in high-resolution transmission electron microscopy. Numerical simulations show that the proposed method can accurately reconstruct high-resolution defocused images of biological molecules or nanoparticles under experimental conditions. The method is based on diffraction tomography and corrects for Ewald sphere curvature by modifying the phase-retrieval step.
MICROSCOPY AND MICROANALYSIS
(2022)
Article
Cell Biology
Angelika Svetlove, Jonas Albers, Swen Huelsmann, Marietta Andrea Markus, Jana Zschuentzsch, Frauke Alves, Christian Dullin
Summary: This study aimed to establish a sensitive and reliable method for assessing respiratory muscle weakness and irregular breathing patterns. Optical respiratory dynamics tracking (ORDT) was developed and successfully distinguished mice with Duchenne muscular dystrophy (DMD) from healthy controls by measuring expiration constants. ORDT was able to distinguish fast and slow expiratory phases, which could not be observed using X-ray based lung function measurements. The simplicity and reliability of ORDT were further validated using smartphone acquisition.
Article
Multidisciplinary Sciences
Christian Dullin, Angelika Svetlove, Jana Zschuntzsch, Frauke Alves
Summary: Retrospective gating is a well established technique in preclinical CT for assessing lung morphology. By using the entire raw data, this study successfully obtained both the anatomical structure and functional parameters of the lung, eliminating the need for separate acquisition procedures.
SCIENTIFIC REPORTS
(2022)
Article
Pediatrics
Katharina Jaeckle, Sebastian Lippross, Theresa Elisabeth Michel, Johannes T. Kowallick, Christian Dullin, Katja A. Luders, Heiko M. Lorenz, Konstantinos Tsaknakis, Anna K. Hell
Summary: The study used lamb extremities as a model to demonstrate that thermal ablation has a localized effect on growth plates without causing significant damage. This suggests that thermal ablation could be a potential method for modulating epiphyseal growth in children.
Article
Engineering, Biomedical
Tina Roedig, Christian Dullin, Fabian Kueck, Marcel Krebs, Ingrid Hettwer-Steeger, Franziska Haupt
Summary: The study aimed to investigate the influence of moisture content in frozen and embalmed human cadavers on the detection of dentinal microcracks using micro-CT. The results indicated that the visibility of microcracks is significantly influenced by the moisture content of the bone-blocks, regardless of the preservation method.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2022)
Article
Optics
Timur E. Gureyev, Hamish G. Brown, Harry M. Quiney, Leslie J. Allen
Summary: This paper presents a unified method for three-dimensional reconstruction of objects from transmission images collected at multiple illumination directions. The method is applicable to various experimental conditions and incorporates phase retrieval and Ewald sphere curvature effects, while mitigating multiple scattering. The algorithm is based on three-dimensional gridding, allowing for fast and parallel implementation.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
(2022)
Article
Multidisciplinary Sciences
Lucie Novakova, Javier Lazaro, Marion Muturi, Christian Dullin, Dina K. N. Dechmann
Summary: Some small mammals undergo seasonal shrinkage and regrowth in body size, including skull and brain size changes. This study found that European moles also decrease skull size in winter. In contrast, closely related Iberian moles do not change size despite low resources in summer. The authors concluded that seasonal decrease and regrowth of skull size in moles is an adaptation to winter climate.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
A. Aminzadeh, B. D. Arhatari, A. Maksimenko, C. J. Hall, D. Hausermann, A. G. Peele, J. Fox, B. Kumar, Z. Prodanovic, M. Dimmock, D. Lockie, K. M. Pavlov, Y. Nesterets, D. Thompson, S. C. Mayo, D. M. Paganin, S. T. Taba, S. Lewis, P. C. Brennan, H. M. Quiney, T. E. Gureyev
Summary: In this study, a method to improve the detection of microcalcifications in breast tissues using propagation-based phase-contrast X-ray computed tomography was proposed. The results showed that the visibility of microcalcifications in the dark-field images was more than two times higher compared to the bright-field images, and the dark-field images provided more accurate information about the size and shape of the microcalcifications.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Proceedings Paper
Optics
Belinda Lim, Sarah Lewis, Benedicta D. Arhatari, Yakov Nesterets, Sheridan Mayo, Darren Thomposon, Jane Fox, Beena Kumar, Daniel Hausermann, Anton Maksimenko, Christopher Hall, Matthew Dimmock, Darren Lockie, Mary Rickard, Nicola Giannotti, Andrew Peele, Harry Quiney, Timur E. Gureyev, Patrick Brennan, Seyedamir T. Taba
Summary: This study aims to determine the optimal x-ray energy for PB-CT images of breast mastectomy samples and investigate the correlation between objective physical measures of image quality and subjective human observer scores. The results suggest that 30-34 keV provides optimum image quality for breast PB-CT.
MEDICAL IMAGING 2022: PHYSICS OF MEDICAL IMAGING
(2022)
