Article
Computer Science, Interdisciplinary Applications
Manuel Viermetz, Nikolai Gustschin, Clemens Schmid, Jakob Haeusele, Peter B. Noel, Roland Proksa, Stefan Loscher, Thomas Koehler, Franz Pfeiffer
Summary: Computed tomography (CT) is an important clinical diagnostics method, but its current limit to X-rays' attenuation contrast only can be expanded with dark-field imaging. Dark-field imaging offers access to more tissue properties, such as micro-structural texture or porosity. However, up-scaling this method to clinical scale is complex due to design constraints such as limited manufacturing technology and minimal modifications to the CT gantry. In this study, the advantages of an inverse interferometer and a triangular grating profile are discussed, making a compact and sensitive interferometer implementation feasible. The evaluation of the triangular grating profile reveals a deviation in the interference pattern compared to standard grating profiles, which must be taken into consideration in subsequent data processing.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Computer Science, Interdisciplinary Applications
Manuel Viermetz, Nikolai Gustschin, Clemens Schmid, Jakob Haeusele, Bernhard Gleich, Bernhard Renger, Thomas Koehler, Franz Pfeiffer
Summary: X-ray computed tomography (CT) is an important imaging technique in clinical diagnostics. Dark-field CT, which provides additional microstructural information, has shown potential clinical value. In this paper, the performance of a prototype dark-field CT system is discussed, including the evaluation of the interferometer components and challenges related to integration into the CT gantry. The impact of the X-ray source and vibrations on the system are analyzed, and a beam hardening correction is introduced to enable quantitative dark-field imaging. The resolution and patient dose are also analyzed, and initial patient studies using the presented dark-field CT system are suggested.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Instruments & Instrumentation
Masashi Kageyama, Kenichi Okajima, Minoru Maesawa, Masahiro Nonoguchi, Manabu Nonoguchi, Masaru Kuribayashi, Yukihiro Hara, Atsushi Momose
Summary: The study developed and tested a laboratory assembled X-ray phase CT system with high spatial and density resolution, which successfully distinguishes different materials. The system can also switch to another mode with a wider field of view.
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
(2021)
Article
Optics
G. Perez-Callejo, V. Bouffetier, L. Ceurvorst, T. Goudal, S. R. Klein, D. Svyatskiy, M. Holec, P. Perez-Martin, K. Falk, A. Casner, T. E. Weber, G. Kagan, M. P. Valdivia
Summary: Diagnosing the evolution of laser-generated high energy density (HED) systems is fundamental to understand the behavior of matter under extreme conditions. Talbot-Lau interferometry was used to probe the ablation front of a laser-irradiated foil, and attenuation and phase-shift images were successfully obtained for electron densities above 10^22 cm^-3. These results demonstrate the capabilities of Talbot-Lau X-ray diagnostic methods to diagnose HED laser-generated plasmas through high-resolution imaging.
HIGH POWER LASER SCIENCE AND ENGINEERING
(2023)
Article
Instruments & Instrumentation
M. P. Valdivia, D. Stutman, C. Stoeckl, W. Theobald, G. W. Collins, V Bouffetier, M. Vescovi, C. Mileham, I. A. Begishev, S. R. Klein, R. Melean, S. Muller, J. Zou, F. Veloso, A. Casner, F. N. Beg, S. P. Regan
Summary: C Talbot-Lau x-ray interferometry has been used to map electron density gradients in High Energy Density Physics (HEDP) experiments. X-ray backlighter targets have been evaluated for Talbot-Lau X-ray Deflectometry (TXD). Various copper targets were irradiated by laser pulses and x-pinches, with successful imaging of plasma ablation front through TXD for densities >10(23) cm(-3).
REVIEW OF SCIENTIFIC INSTRUMENTS
(2021)
Article
Engineering, Biomedical
N. Safca, D. Stutman, E. Anghel, F. Negoita, C. A. Ur
Summary: This study investigates an additional technique for breast cancer detection, x-ray phase-contrast or refraction-based imaging with ultrahigh angular sensitivity grating interferometers, to improve the sensitivity and low dose of breast cancer identification. The experiments on a mammography phantom demonstrate the potential of the proposed technique for low-dose interferometric mammography.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Engineering, Biomedical
Qisi Lin, Zhao Wu, Guibin Zan, Meng Huang, Zheng Dang, Lijiao Tian, Yong Guan, Gang Liu, Yalin Lu, Yangchao Tian
Summary: This article successfully extends the FOV of compact XTLI and achieves large field of view imaging at high energy by designing and developing an inverse XTLI coupled with a microarray anode-structured target source. Experimental results demonstrate the potential advantage of phase contrast mode in imaging lung tissue.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Review
Engineering, Biomedical
Lina Felsner, Philipp Roser, Andreas Maier, Christian Riess
Summary: This study compared different methods to correct artifacts in tomographic reconstructions, finding that the iterative reconstruction algorithm, known operator network, and U-net all reduced specific artifacts but exhibited different noise behaviors.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Uttam Pyakurel, Weiyuan Sun, Pikting Cheung, Desiree D'Moore, Xiaoyun Zhang, Carolyn A. MacDonald, Jonathan C. Petruccelli
Summary: This study developed a practical X-ray phase and dark-field imaging system using structured illumination with a wire mesh and polycapillary optics for coherence enhancement. Mesh-shifting algorithm and deblurring technique improved resolution and accuracy in phase and DF imaging. The system demonstrated significant potential for diagnostic imaging in a clinical setting.
Article
Multidisciplinary Sciences
Hongchang Wang, Kawal Sawhney
Summary: Researchers have successfully generated omnidirectional differential phase images using X-ray differential phase contrast imaging, providing more information for studying complex samples and enabling simultaneous extraction of omnidirectional dark-field images to study ordered scattering structures.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Hongchang Wang, Kawal Sawhney
Summary: This article introduces a method for generating omnidirectional differential phase images by scanning a randomly structured modulator, which provides more information than traditional imaging methods and allows the simultaneous extraction of omnidirectional dark-field images for studying strongly ordered scattering structures.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Guibin Zan, Sheraz Gul, Jin Zhang, Wei Zhao, Sylvia Lewis, David J. Vine, Yijin Liu, Piero Pianetta, Wenbing Yun
Summary: The study developed a TLI system with MAAST source, offering high-resolution and tri-contrast X-ray imaging for biomedical applications. Tomography of Drum fish tooth revealed valuable complementary structural information using this method.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Optics
Yizheng Yao, Xuhui Sun, Yibing Ma, Tong Wang, Gan Wu, Huan Chen, Bing Gao, Chenglong Wang, Hao Wu, Chao Zhang, Yiqiang Qin
Summary: In this study, a class of aperiodic grating structure is proposed and investigated, which can achieve perfect Talbot effect under certain conditions. The aperiodic grating structure is obtained by the superposition of two or more sine terms. The theory has been verified by numerical simulations and has potential significance for applications such as optical imaging and measurement.
Article
Physics, Fluids & Plasmas
M. P. Valdivia, G. W. Collins, F. Conti, F. N. Beg
Summary: Talbot-Lau x-ray deflectometry (TXD) is used for refraction-based imaging in high-energy-density physics experiments, particularly for diagnosing plasmas related to inertial confinement and magnetic liner inertial fusion. The optimal X-pinch configuration for TXD is found to be the laser-cut X-pinch, which offers high reproducibility, small source size, and short duration.
PLASMA PHYSICS AND CONTROLLED FUSION
(2022)
Article
Physics, Applied
Ryosuke Ueda, Kenji Kimura, Hidekazu Takano, Masato Hoshino, Koh Hashimoto, Atsushi Momose
Summary: High-speed X-ray phase imaging was used for the inner visualization of polymer materials during laser engraving. A sequence of phase-stepping-based phase imaging with a temporal resolution of 5ms was established by synchronizing an X-ray detector with the linear motions of a grating and a sample. The engraving region was observed from the material surface in the depth direction, showing ablation followed by bubble formation with a certain time delay.
JAPANESE JOURNAL OF APPLIED PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ran Zhang, Xin Tie, Zhihua Qi, Nicholas B. Bevins, Chengzhu Zhang, Dalton Griner, Thomas K. Song, Jeffrey D. Nadig, Mark L. Schiebler, John W. Garrett, Ke Li, Scott B. Reeder, Guang-Hong Chen
Summary: The study aimed to differentiate COVID-19 pneumonia from other causes of abnormalities on chest radiographs using an artificial intelligence algorithm. The results showed that CV19-Net was effective in distinguishing between different types of pneumonia, outperforming experienced thoracic radiologists.
Article
Radiology, Nuclear Medicine & Medical Imaging
Andrew F. Voter, Ece Meram, John W. Garrett, John-Paul J. Yu
Summary: This study revealed decreased diagnostic accuracy of an AI DSS at our institution. Despite extensive evaluation, we were unable to identify the source of this discrepancy, raising concerns about the generalizability of these tools with indeterminate failure modes. These results further highlight the need for standardized study design to allow for rigorous and reproducible site-to-site comparison of emerging deep learning technologies.
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
(2021)
Article
Clinical Neurology
A. F. Voter, M. E. Larson, J. W. Garrett, J. -P. J. Yu
Summary: This study evaluated the performance of an artificial intelligence decision support system, Aidoc, for the detection of cervical spinal fractures, revealing poor diagnostic accuracy. Concerns were raised about the generalizability, utility, and rapid deployment of similar algorithms that have not undergone external validation. Further rigorous evaluations are needed before widespread implementation of these tools.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Perry J. Pickhardt, Alberto A. Perez, John W. Garrett, Peter M. Graffy, Ryan Zea, Ronald M. Summers
Summary: This study compared the effectiveness of CT-based deep learning muscle measurement at the L1 and L3 levels for predicting hip fractures and death. The results showed that muscle attenuation measurements at both L1 and L3 levels were equally effective in predicting hip fractures and death, and were superior to muscle cross-sectional area measurement. This suggests that muscle measurement at the L1 level can be used for sarcopenia assessment, thereby increasing the potential yield of opportunistic CT screening.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2022)
Article
Engineering, Biomedical
Mang Feng, Xu Ji, Ran Zhang, Kevin Treb, Aaron M. Dingle, Ke Li
Summary: This study presents an experimental method for correcting concentric artifacts in PCD-CT images by using pixel-specific polynomial functions to address spectral inconsistency. Experimental evaluation showed that this method effectively reduces low-frequency concentric artifacts in PCD-CT images.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alberto A. Perez, Victoria Noe-Kim, Meghan G. Lubner, Peter M. Graffy, John W. Garrett, Daniel C. Elton, Ronald M. Summers, Perry J. Pickhardt
Summary: By using a fully automated CT-based liver volume segmentation based on deep learning, an objective and accurate assessment of liver size and thresholds for hepatomegaly can be provided.
Article
Oncology
Nhu Q. Vu, Curran Bice, John Garrett, Colin Longhurst, Daryn Belden, Carolyn Haerr, Lucinda Prue, Ryan W. Woods
Summary: The study compared the impact of different digital breast tomosynthesis imaging protocols on the mean glandular dose, cancer detection rate, and recall rate in patients with breast implants. The combination of 2D FF views and DBT ID views was found to minimize radiation exposure without compromising cancer detection sensitivity in screening for this patient population. It is recommended to avoid using DBT FF to minimize radiation dose in these patients.
JOURNAL OF BREAST IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthew H. Lee, Silas G. Pickhardt, John W. Garrett, Alberto A. Perez, Ryan Zea, Kevin Franco Valle, Meghan G. Lubner, David D. B. Bates, Ronald M. Summers, Perry J. Pickhardt
Summary: The utility of fully automated body composition measures derived from pretreatment CT examinations in predicting survival in patients with colorectal cancer (CRC) was assessed. The results showed that fully automated CT-based measurements of muscle attenuation, subcutaneous adipose tissue (SAT) area, and aortic calcium can predict the survival of patients with CRC. Therefore, evaluating pretreatment body composition in patients with CRC can improve their initial risk stratification.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2023)
Article
Engineering, Biomedical
Kevin Treb, Xu Ji, Mang Feng, Ran Zhang, Sarvesh Periyasamy, Paul F. Laeseke, Aaron M. Dingle, Christopher L. Brace, Ke Li
Summary: This study developed a C-arm photon counting detector (PCD) CT system with a step-and-shoot data acquisition method to improve the tomographic imaging performance of interventional systems. The feasibility of high-quality and multi-planar (volumetric) PCD-CT imaging was successfully demonstrated.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthew H. Lee, Ryan Zea, John W. Garrett, Peter M. Graffy, Ronald M. Summers, Perry J. Pickhardt
Summary: This study determined population and sex-specific thresholds for muscle, abdominal fat, and abdominal aortic calcium measures at abdominal CT for predicting the risk of death, adverse cardiovascular events, and fragility fractures. The thresholds were determined using fully automated algorithms and can provide accurate predictions for different populations.
Article
Engineering, Biomedical
Daniel Bushe, Ran Zhang, Guang-Hong Chen, Ke Li
Summary: This study proposes a new zero-count correction method to address the zero-count problem in low-dose, high-spatial-resolution photon counting detector CT (PCD-CT) without introducing statistical biases or degrading spatial resolution. The method analyzes the statistical properties of zero-count data and derives a formula for the statistical sinogram bias, based on which a new sinogram estimator is constructed to cancel the biases. Experimental results show that the proposed method significantly reduces the statistical CT number biases and has no discernible impact on image noise and spatial resolution.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Perry J. Pickhardt, Ronald M. Summers, John W. Garrett, Arun Krishnaraj, Sheela Agarwal, Keith J. Dreyer, Gregory N. Nicola
Summary: Opportunistic screening refers to the systematic use of incidental imaging findings, especially in CT scans, through AI-assisted algorithms, for risk stratification and early detection of diseases. The implementation of opportunistic CT screening faces challenges such as gaining support from healthcare professionals and patients, standardizing acquisition and reporting measures, and overcoming regulatory and reimbursement hurdles.
Article
Radiology, Nuclear Medicine & Medical Imaging
Daniel Liu, John W. Garrett, Matt H. Lee, Ryan Zea, Ronald M. Summers, Perry J. Pickhardt
Summary: The study compares the effectiveness of CT-based measurements of abdominal adipose tissue at L1 and L3 levels in predicting mortality. The results suggest that while the measurements at L1 level are slightly inferior to those at L3 level, they still have predictive value for survival. This finding contributes to the potential expansion of opportunistic screening using chest CT imaging.
ABDOMINAL RADIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Perry J. Pickhardt, Thang Nguyen, Alberto A. Perez, Peter M. Graffy, Samuel Jang, Ronald M. Summers, John W. Garrett
Summary: This study developed a new DL tool for bone mineral density (BMD) assessment, which showed higher success rate compared to the previous feature-based algorithm. The DL tool can be tailored for higher sensitivity or specificity in osteoporosis assessment.
RADIOLOGY-ARTIFICIAL INTELLIGENCE
(2022)