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Gureyev TE, Paganin DM, Quiney HM. Signal-to-noise and spatial resolution in in-line imaging. 1. Basic theory, numerical simulations and planar experimental images. JOURNAL OF SYNCHROTRON RADIATION 2024; 31:896-909. [PMID: 38843003 PMCID: PMC11226163 DOI: 10.1107/s1600577524003886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 04/29/2024] [Indexed: 07/06/2024]
Abstract
Signal-to-noise ratio and spatial resolution are quantitatively analysed in the context of in-line (propagation based) X-ray phase-contrast imaging. It is known that free-space propagation of a coherent X-ray beam from the imaged object to the detector plane, followed by phase retrieval in accordance with Paganin's method, can increase the signal-to-noise in the resultant images without deteriorating the spatial resolution. This results in violation of the noise-resolution uncertainty principle and demonstrates `unreasonable' effectiveness of the method. On the other hand, when the process of free-space propagation is performed in software, using the detected intensity distribution in the object plane, it cannot reproduce the same effectiveness, due to the amplification of photon shot noise. Here, it is shown that the performance of Paganin's method is determined by just two dimensionless parameters: the Fresnel number and the ratio of the real decrement to the imaginary part of the refractive index of the imaged object. The relevant theoretical analysis is performed first, followed by computer simulations and then by a brief test using experimental images collected at a synchrotron beamline. More extensive experimental tests will be presented in the second part of this paper.
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Affiliation(s)
- Timur E. Gureyev
- School of PhysicsUniversity of MelbourneParkvilleVictoria3010Australia
- School of Physics and AstronomyMonash UniversityClaytonVictoria3800Australia
| | - David M. Paganin
- School of Physics and AstronomyMonash UniversityClaytonVictoria3800Australia
| | - Harry M. Quiney
- School of PhysicsUniversity of MelbourneParkvilleVictoria3010Australia
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Gunaseelan I, Amin Zadeh A, Arhatari B, Maksimenko A, Hall C, Hausermann D, Kumar B, Fox J, Quiney H, Lockie D, Lewis S, Brennan P, Gureyev T, Tavakoli Taba S. Propagation-based phase-contrast imaging of the breast: image quality and the effect of X-ray energy and radiation dose. Br J Radiol 2023; 96:20221189. [PMID: 37665247 PMCID: PMC10546460 DOI: 10.1259/bjr.20221189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 09/05/2023] Open
Abstract
OBJECTIVES Propagation-based phase-contrast computed tomography (PB-CT) is a new imaging technique that exploits refractive and absorption properties of X-rays to enhance soft tissue contrast and improve image quality. This study compares image quality of PB-CT and absorption-based CT (AB-CT) for breast imaging while exploring X-ray energy and radiation dose. METHODS Thirty-nine mastectomy samples were scanned at energy levels of 28-34keV using a flat panel detector at radiation dose levels of 4mGy and 2mGy. Image quality was assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), spatial resolution (res) and visibility (vis). Statistical analysis was performed to compare PB-CT images against their corresponding AB-CT images scanned at 32keV and 4mGy. RESULTS The PB-CT images at 4mGy, across nearly all energy levels, demonstrated superior image quality than AB-CT images at the same dose. At some energy levels, the 2mGy PB-CT images also showed better image quality in terms of CNR/Res and vis compared to the 4mGy AB-CT images. At both investigated doses, SNR and SNR/res were found to have a statistically significant difference across all energy levels. The difference in vis was statistically significant at some energy levels. CONCLUSION This study demonstrates superior image quality of PB-CT over AB-CT, with X-ray energy playing a crucial role in determining image quality parameters. ADVANCES IN KNOWLEDGE Our findings reveal that standard dose PB-CT outperforms standard dose AB-CT across all image quality metrics. Additionally, we demonstrate that low dose PB-CT can produce superior images compared to standard dose AB-CT in terms of CNR/Res and vis.
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Affiliation(s)
- Indusaa Gunaseelan
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
| | | | - Benedicta Arhatari
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Anton Maksimenko
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Christopher Hall
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Daniel Hausermann
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Beena Kumar
- Monash Health Pathology Monash Health, Clayton, VIC, Australia
| | - Jane Fox
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Harry Quiney
- School of Physics, The University of Melbourne, Parkville, VIC, Australia
| | - Darren Lockie
- Maroondah BreastScreen, Eastern Health, Ringwood, VIC, Australia
| | - Sarah Lewis
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
| | - Patrick Brennan
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
| | - Timur Gureyev
- School of Physics, The University of Melbourne, Parkville, VIC, Australia
| | - Seyedamir Tavakoli Taba
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
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Duan X, Li N, Cooper DML, Ding XF, Chen X, Zhu N. Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode. JOURNAL OF SYNCHROTRON RADIATION 2023; 30:417-429. [PMID: 36891855 PMCID: PMC10000810 DOI: 10.1107/s1600577523000772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
Visualization of low-density tissue scaffolds made from hydrogels is important yet challenging in tissue engineering and regenerative medicine (TERM). For this, synchrotron radiation propagation-based imaging computed tomography (SR-PBI-CT) has great potential, but is limited due to the ring artifacts commonly observed in SR-PBI-CT images. To address this issue, this study focuses on the integration of SR-PBI-CT and helical acquisition mode (i.e. SR-PBI-HCT) to visualize hydrogel scaffolds. The influence of key imaging parameters on the image quality of hydrogel scaffolds was investigated, including the helical pitch (p), photon energy (E) and the number of acquisition projections per rotation/revolution (Np), and, on this basis, those parameters were optimized to improve image quality and to reduce noise level and artifacts. The results illustrate that SR-PBI-HCT imaging shows impressive advantages in avoiding ring artifacts with p = 1.5, E = 30 keV and Np = 500 for the visualization of hydrogel scaffolds in vitro. Furthermore, the results also demonstrate that hydrogel scaffolds can be visualized using SR-PBI-HCT with good contrast while at a low radiation dose, i.e. 342 mGy (voxel size of 26 µm, suitable for in vivo imaging). This paper presents a systematic study on hydrogel scaffold imaging using SR-PBI-HCT and the results reveal that SR-PBI-HCT is a powerful tool for visualizing and characterizing low-density scaffolds with a high image quality in vitro. This work represents a significant advance toward the non-invasive in vivo visualization and characterization of hydrogel scaffolds at a suitable radiation dose.
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Affiliation(s)
- Xiaoman Duan
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Naitao Li
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - David M. L. Cooper
- Department of Anatomy, Physiology and Pharmacology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Xiao Fan Ding
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Xiongbiao Chen
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Department of Mechanical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Ning Zhu
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Department of Chemical and Biological Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Canadian Light Source, Saskatoon, SK S7N 2V3, Canada
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Dimmock M, McKinley J, Massey A, Hausermann D, Tam N, Stewart E, Cowling C, Sim J, Brennan PC, Gureyev T, Taba ST, Schultz-Ferguson C, Jimenez YA, Lewis SJ. Designing a breast support device for phase contrast tomographic imaging: getting ready for a clinical trial. Br J Radiol 2022; 95:20211243. [PMID: 35230134 PMCID: PMC9815744 DOI: 10.1259/bjr.20211243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE To design a device that can support the breast during phase-contrast tomography, and characterise its fit parameterisation and comfort rating. METHODS 27 participants were recruited to trial a system for breast support during simulated phase contrast imaging, including being positioned on a prone imaging table while wearing the device. Participants underwent a photogrammetry analysis to establish the geometric parameterisations. All participants trialled a single-cup design while 14 participants also trialled a double-cup with suction holder and all completed a series of questionnaires to understand subjective comfort. RESULTS Photogrammetry revealed significant positive correlations between bra cup volume and measured prone volume (p < 0.001), and between "best fit" single-cup holder volume and measured prone volume (p < 0.005). Both holders were suitable devices in terms of subjective comfort and immobilisation while stationary. However, some re-engineering to allow for quick, easy fitting in future trials where rotation through the radiation beam will occur is necessary. Light suction was well-tolerated when required. CONCLUSION All participants indicated the table and breast support devices were comfortable, and they would continue in the trial. ADVANCES IN KNOWLEDGE Phase contrast tomography is an emerging breast imaging modality and clinical trials are commencing internationally. This paper describes the biomedical engineering designs, in parallel with optimal imaging, that are necessary to measure breast volume so that adequate breast support can be achieved. Breast support devices have implications for comfort, motion correction and maximising breast tissue visualisation.
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Affiliation(s)
- Matthew Dimmock
- Department of Medical Imaging and Radiation Sciences, Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, Victoria, Australia
| | - Jonathan McKinley
- Imaging Medical Beamline, Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, Victoria, Australia
| | - Adrian Massey
- Imaging Medical Beamline, Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, Victoria, Australia
| | - Daniel Hausermann
- Imaging Medical Beamline, Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, Victoria, Australia
| | - Nathan Tam
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | | | - Cynthia Cowling
- Department of Medical Imaging and Radiation Sciences, Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, Victoria, Australia
| | - Jenny Sim
- Department of Medical Imaging and Radiation Sciences, Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, Victoria, Australia
| | - Patrick C Brennan
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Timur Gureyev
- Centre for Advanced Molecular Physics, School of Physics, The University of Melbourne, Parkville, Victoria, Australia
| | - Seyedamir Tavakoli Taba
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Cindy Schultz-Ferguson
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Yobelli A Jimenez
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
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Ghani MU, Omoumi FH, Wu X, Fajardo LL, Zheng B, Liu H. Evaluation and comparison of a CdTe based photon counting detector with an energy integrating detector for X-ray phase sensitive imaging of breast cancer. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2022; 30:207-219. [PMID: 34957945 DOI: 10.3233/xst-211028] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE To compare imaging performance of a cadmium telluride (CdTe) based photon counting detector (PCD) with a CMOS based energy integrating detector (EID) for potential phase sensitive imaging of breast cancer. METHODS A high energy inline phase sensitive imaging prototype consisting of a microfocus X-ray source with geometric magnification of 2 was employed. The pixel pitch of the PCD was 55μm, while 50μm for EID. The spatial resolution was quantitatively and qualitatively assessed through modulation transfer function (MTF) and bar pattern images. The edge enhancement visibility was assessed by measuring edge enhancement index (EEI) using the acrylic edge acquired images. A contrast detail (CD) phantom was utilized to compare detectability of simulated tumors, while an American College of Radiology (ACR) accredited phantom for mammography was used to compare detection of simulated calcification clusters. A custom-built phantom was employed to compare detection of fibrous structures. The PCD images were acquired at equal, and 30% less mean glandular dose (MGD) levels as of EID images. Observer studies along with contrast to noise ratio (CNR) and signal to noise ratio (SNR) analyses were performed for comparison of two detection systems. RESULTS MTF curves and bar pattern images revealed an improvement of about 40% in the cutoff resolution with the PCD. The excellent spatial resolution offered by PCD system complemented superior detection of the diffraction fringes at boundaries of the acrylic edge and resulted in an EEI value of 3.64 as compared to 1.44 produced with EID image. At equal MGD levels (standard dose), observer studies along with CNR and SNR analyses revealed a substantial improvement of PCD acquired images in detection of simulated tumors, calcification clusters, and fibrous structures. At 30% less MGD, PCD images preserved image quality to yield equivalent (slightly better) detection as compared to the standard dose EID images. CONCLUSION CdTe-based PCDs are technically feasible to image breast abnormalities (low/high contrast structures) at low radiation dose levels using the high energy inline phase sensitive imaging technique.
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Affiliation(s)
- Muhammad U Ghani
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
| | - Farid H Omoumi
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
| | - Xizeng Wu
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie L Fajardo
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Bin Zheng
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
| | - Hong Liu
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
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Zhang L, Zhao H, Zhou Z, Jia M, Zhang L, Jiang J, Gao F. Improving spatial resolution with an edge-enhancement model for low-dose propagation-based X-ray phase-contrast computed tomography. OPTICS EXPRESS 2021; 29:37399-37417. [PMID: 34808812 DOI: 10.1364/oe.440664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
Propagation-based X-ray phase-contrast computed tomography (PB-PCCT) has been increasingly popular for distinguishing low contrast tissues. Phase retrieval is an important step to quantitatively obtain the phase information before the tomographic reconstructions, while typical phase retrieval methods in PB-PCCT, such as homogenous transport of intensity equation (TIE-Hom), are essentially low-pass filters and thus improve the signal to noise ratio at the expense of the reduced spatial resolution of the reconstructed image. To improve the reconstructed spatial resolution, measured phase contrast projections with high edge enhancement and the phase projections retrieved by TIE-Hom were weighted summed and fed into an iterative tomographic algorithm within the framework of the adaptive steepest descent projections onto convex sets (ASD-POCS), which was employed for suppressing the image noise in low dose reconstructions because of the sparse-view scanning strategy or low exposure time for single phase contrast projection. The merging strategy decreases the accuracy of the linear model of PB-PCCT and would finally lead to the reconstruction failure in iterative reconstructions. Therefore, the additive median root prior is also introduced in the algorithm to partly increase the model accuracy. The reconstructed spatial resolution and noise performance can be flexibly balanced by a pair of antagonistic hyper-parameters. Validations were performed by the established phase-contrast Feldkamp-Davis-Kress, phase-retrieved Feldkamp-Davis-Kress, conventional ASD-POCS and the proposed enhanced ASD-POCS with a numerical phantom dataset and experimental biomaterial dataset. Simulation results show that the proposed algorithm outperforms the conventional ASD-POCS in spatial evaluation assessments such as root mean square error (a ratio of 9.78%), contrast to noise ratio (CNR) (a ratio of 7.46%), and also frequency evaluation assessments such as modulation transfer function (a ratio of 66.48% of MTF50% (50% MTF value)), noise power spectrum (a ratio of 35.25% of f50% (50% value of the Nyquist frequency)) and noise equivalent quanta (1-2 orders of magnitude at high frequencies). Experimental results again confirm the superiority of proposed strategy relative to the conventional one in terms of edge sharpness and CNR (an average increase of 67.35%).
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7
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Wan S, Arhatari BD, Nesterets YI, Mayo SC, Thompson D, Fox J, Kumar B, Prodanovic Z, Hausermann D, Maksimenko A, Hall C, Dimmock M, Pavlov KM, Lockie D, Rickard M, Gadomkar Z, Aminzadeh A, Vafa E, Peele A, Quiney HM, Lewis S, Gureyev TE, Brennan PC, Taba ST. Effect of x-ray energy on the radiological image quality in propagation-based phase-contrast computed tomography of the breast. J Med Imaging (Bellingham) 2021; 8:052108. [PMID: 34268442 DOI: 10.1117/1.jmi.8.5.052108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 06/28/2021] [Indexed: 01/22/2023] Open
Abstract
Purpose: Breast cancer is the most common cancer in women in developing and developed countries and is responsible for 15% of women's cancer deaths worldwide. Conventional absorption-based breast imaging techniques lack sufficient contrast for comprehensive diagnosis. Propagation-based phase-contrast computed tomography (PB-CT) is a developing technique that exploits a more contrast-sensitive property of x-rays: x-ray refraction. X-ray absorption, refraction, and contrast-to-noise in the corresponding images depend on the x-ray energy used, for the same/fixed radiation dose. The aim of this paper is to explore the relationship between x-ray energy and radiological image quality in PB-CT imaging. Approach: Thirty-nine mastectomy samples were scanned at the imaging and medical beamline at the Australian Synchrotron. Samples were scanned at various x-ray energies of 26, 28, 30, 32, 34, and 60 keV using a Hamamatsu Flat Panel detector at the same object-to-detector distance of 6 m and mean glandular dose of 4 mGy. A total of 132 image sets were produced for analysis. Seven observers rated PB-CT images against absorption-based CT (AB-CT) images of the same samples on a five-point scale. A visual grading characteristics (VGC) study was used to determine the difference in image quality. Results: PB-CT images produced at 28, 30, 32, and 34 keV x-ray energies demonstrated statistically significant higher image quality than reference AB-CT images. The optimum x-ray energy, 30 keV, displayed the largest area under the curve ( AUC VGC ) of 0.754 ( p = 0.009 ). This was followed by 32 keV ( AUC VGC = 0.731 , p ≤ 0.001 ), 34 keV ( AUC VGC = 0.723 , p ≤ 0.001 ), and 28 keV ( AUC VGC = 0.654 , p = 0.015 ). Conclusions: An optimum energy range (around 30 keV) in the PB-CT technique allows for higher image quality at a dose comparable to conventional mammographic techniques. This results in improved radiological image quality compared with conventional techniques, which may ultimately lead to higher diagnostic efficacy and a reduction in breast cancer mortalities.
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Affiliation(s)
- Sarina Wan
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Benedicta D Arhatari
- Australian Synchrotron, ANSTO, Clayton, Australia.,University of Melbourne, School of Physics, Parkville, Australia
| | - Yakov I Nesterets
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia.,University of New England, School of Science and Technology, Armidale, Australia
| | - Sheridan C Mayo
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia
| | - Darren Thompson
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia.,University of New England, School of Science and Technology, Armidale, Australia
| | - Jane Fox
- Monash University, Faculty of Medicine, Nursing and Health Sciences, Clayton, Australia.,Monash Health, Department of Pathology, Clayton, Australia
| | - Beena Kumar
- Monash Health, Department of Pathology, Clayton, Australia
| | | | | | | | | | - Matthew Dimmock
- Monash University, Faculty of Medicine, Nursing and Health Sciences, Clayton, Australia
| | - Konstantin M Pavlov
- University of New England, School of Science and Technology, Armidale, Australia.,University of Canterbury, School of Physical and Chemical Sciences, Christchurch, New Zealand.,Monash University, School of Physics and Astronomy, Clayton, Australia
| | - Darren Lockie
- Maroondah BreastScreen, Eastern Health, Ringwood, Australia
| | - Mary Rickard
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Ziba Gadomkar
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Alaleh Aminzadeh
- University of Melbourne, School of Physics, Parkville, Australia
| | - Elham Vafa
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Andrew Peele
- Australian Synchrotron, ANSTO, Clayton, Australia
| | - Harry M Quiney
- University of Melbourne, School of Physics, Parkville, Australia
| | - Sarah Lewis
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Timur E Gureyev
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia.,University of Melbourne, School of Physics, Parkville, Australia.,University of New England, School of Science and Technology, Armidale, Australia.,Monash University, School of Physics and Astronomy, Clayton, Australia
| | - Patrick C Brennan
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Seyedamir Tavakoli Taba
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
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Tavakoli Taba S, Arhatari BD, Nesterets YI, Gadomkar Z, Mayo SC, Thompson D, Fox J, Kumar B, Prodanovic Z, Hausermann D, Maksimenko A, Hall C, Dimmock M, Pavlov KM, Lockie D, Gity M, Peele A, Quiney HM, Lewis S, Gureyev TE, Brennan PC. Propagation-Based Phase-Contrast CT of the Breast Demonstrates Higher Quality Than Conventional Absorption-Based CT Even at Lower Radiation Dose. Acad Radiol 2021; 28:e20-e26. [PMID: 32035759 DOI: 10.1016/j.acra.2020.01.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 12/31/2019] [Accepted: 01/07/2020] [Indexed: 01/07/2023]
Abstract
RATIONALE AND OBJECTIVES Propagation-based phase-contrast CT (PB-CT) is an advanced X-ray imaging technology that exploits both refraction and absorption of the transmitted X-ray beam. This study was aimed at optimizing the experimental conditions of PB-CT for breast cancer imaging and examined its performance relative to conventional absorption-based CT (AB-CT) in terms of image quality and radiation dose. MATERIALS AND METHODS Surgically excised breast mastectomy specimens (n = 12) were scanned using both PB-CT and AB-CT techniques under varying imaging conditions. To evaluate the radiological image quality, visual grading characteristics (VGC) analysis was used in which 11 breast specialist radiologists compared the overall image quality of PB-CT images with respect to the corresponding AB-CT images. The area under the VGC curve was calculated to measure the differences between PB-CT and AB-CT images. RESULTS The highest radiological quality was obtained for PB-CT images using a 32 keV energy X-ray beam and by applying the Homogeneous Transport of Intensity Equation phase retrieval with the value of its parameter γ set to one-half of the theoretically optimal value for the given materials. Using these optimized conditions, the image quality of PB-CT images obtained at 4 mGy and 2 mGy mean glandular dose was significantly higher than AB-CT images at 4 mGy (AUCVGC = 0.901, p = 0.001 and AUCVGC = 0.819, p = 0.011, respectively). CONCLUSION PB-CT achieves a higher radiological image quality compared to AB-CT even at a considerably lower mean glandular dose. Successful translation of the PB-CT technique for breast cancer imaging can potentially result in improved breast cancer diagnosis.
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9
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Recent advances in X-ray imaging of breast tissue: From two- to three-dimensional imaging. Phys Med 2020; 79:69-79. [PMID: 33171371 DOI: 10.1016/j.ejmp.2020.10.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 10/13/2020] [Accepted: 10/24/2020] [Indexed: 11/20/2022] Open
Abstract
Breast cancer is a globally widespread disease whose detection has already been significantly improved by the introduction of screening programs. Nevertheless, mammography suffers from low soft tissue contrast and the superposition of diagnostically relevant anatomical structures as well as from low values for sensitivity and specificity especially for dense breast tissue. In recent years, two techniques for X-ray breast imaging have been developed that bring advances for the early detection of breast cancer. Grating-based phase-contrast mammography is a new imaging technique that is able to provide three image modalities simultaneously (absorption-contrast, phase-contrast and dark-field signal). Thus, an enhanced detection and delineation of cancerous structures in the phase-contrast image and an improved visualization and characterization of microcalcifications in the dark-field image is possible. Furthermore, latest studies about this approach show that dose-compatible imaging with polychromatic X-ray sources is feasible. In order to additionally overcome the limitations of projection-based imaging, efforts were also made towards the development of breast computed tomography (BCT), which recently led to the first clinical installation of an absorption-based BCT system. Further research combining the benefits of both imaging technologies is currently in progress. This review article summarizes the latest advances in phase-contrast imaging for the female breast (projection-based and three-dimensional view) with special focus on possible clinical implementations in the future.
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10
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Liu F, Li G, Yang S, Yan W, He G, Lin L. Recognition of Heterogeneous Edges in Multiwavelength Transmission Images Based on the Weighted Constraint Decision Method. APPLIED SPECTROSCOPY 2020; 74:883-893. [PMID: 32073301 DOI: 10.1177/0003702820908951] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Multiwavelength light transmission imaging provides a possibility for early detection of breast cancer. However, due to strong scattering during the transmission process of breast tissue analysis, the transmitted image signal is weak and the image is blurred and this makes heterogeneous edge detection difficult. This paper proposes a method based on the weighted constraint decision (WCD) method to eliminate the erosion and checkerboard effects in image histogram equalization (HE) enhancement and to improve the recognition of heterogeneous edge. Multiwavelength transmission images of phantom are acquired on the designed experimental system and the mask image with high signal-to-noise ratio (SNR) is obtained by frame accumulation and an Otsu thresholding model. Then, during image enhancement the image is divided into low-gray-level (LGL) and high-gray-level (HGL) regions according to the distribution of light intensity in image. And the probability density distribution of gray level in the LGL and HGL regions are redefined respectively according to the WCD method. Finally, the reconstructed image is obtained based on the modified HE. The experimental results show that compared with traditional image enhancement methods, the WCD method proposed in this paper can greatly improve the contrast between heterogeneous region and normal region. Moreover, the correlation between the original image data is maintained to the greatest extent, so that the edge of the heterogeneity can be detected more accurately. In conclusion, the WCD method not only accurately identifies the edge of heterogeneity in multiwavelength transmission images, but it also could improve the clinical application of multiwavelength transmission images in the early detection of breast cancer.
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Affiliation(s)
- Fulong Liu
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin University, Tianjin, China
| | - Gang Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin University, Tianjin, China
| | - Shuqiang Yang
- School of physics and electronic information, Luoyang Normal University, Luoyang, China
| | - Wenjuan Yan
- School of Electronic Information Engineering, Yangtze Normal University, Chongqing, China
| | - Guoquan He
- School of Electronic Information Engineering, Yangtze Normal University, Chongqing, China
| | - Ling Lin
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin University, Tianjin, China
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11
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Tavakoli Taba S, Baran P, Nesterets YI, Pacile S, Wienbeck S, Dullin C, Pavlov K, Maksimenko A, Lockie D, Mayo SC, Quiney HM, Dreossi D, Arfelli F, Tromba G, Lewis S, Gureyev TE, Brennan PC. Comparison of propagation-based CT using synchrotron radiation and conventional cone-beam CT for breast imaging. Eur Radiol 2020; 30:2740-2750. [DOI: 10.1007/s00330-019-06567-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 10/29/2019] [Accepted: 10/31/2019] [Indexed: 01/08/2023]
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12
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Synchrotron Radiation-Based Three-Dimensional Visualization of Angioarchitectural Remodeling in Hippocampus of Epileptic Rats. Neurosci Bull 2019; 36:333-345. [PMID: 31823302 DOI: 10.1007/s12264-019-00450-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 09/11/2019] [Indexed: 12/15/2022] Open
Abstract
Characterizing the three-dimensional (3D) morphological alterations of microvessels under both normal and seizure conditions is crucial for a better understanding of epilepsy. However, conventional imaging techniques cannot detect microvessels on micron/sub-micron scales without angiography. In this study, synchrotron radiation (SR)-based X-ray in-line phase-contrast imaging (ILPCI) and quantitative 3D characterization were used to acquire high-resolution, high-contrast images of rat brain tissue under both normal and seizure conditions. The number of blood microvessels was markedly increased on days 1 and 14, but decreased on day 60 after seizures. The surface area, diameter distribution, mean tortuosity, and number of bifurcations and network segments also showed similar trends. These pathological changes were confirmed by histological tests. Thus, SR-based ILPCI provides systematic and detailed views of cerebrovascular anatomy at the micron level without using contrast-enhancing agents. This holds considerable promise for better diagnosis and understanding of the pathogenesis and development of epilepsy.
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13
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Brombal L, Arfelli F, Delogu P, Donato S, Mettivier G, Michielsen K, Oliva P, Taibi A, Sechopoulos I, Longo R, Fedon C. Image quality comparison between a phase-contrast synchrotron radiation breast CT and a clinical breast CT: a phantom based study. Sci Rep 2019; 9:17778. [PMID: 31780707 PMCID: PMC6882794 DOI: 10.1038/s41598-019-54131-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Accepted: 11/04/2019] [Indexed: 11/13/2022] Open
Abstract
In this study we compared the image quality of a synchrotron radiation (SR) breast computed tomography (BCT) system with a clinical BCT in terms of contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), noise power spectrum (NPS), spatial resolution and detail visibility. A breast phantom consisting of several slabs of breast-adipose equivalent material with different embedded targets (i.e., masses, fibers and calcifications) was used. Phantom images were acquired using a dedicated BCT system installed at the Radboud University Medical Center (Nijmegen, The Netherlands) and the SR BCT system at the SYRMEP beamline of Elettra SR facility (Trieste, Italy) based on a photon-counting detector. Images with the SR setup were acquired mimicking the clinical BCT conditions (i.e., energy of 30 keV and radiation dose of 6.5 mGy). Images were reconstructed with an isotropic cubic voxel of 273 µm for the clinical BCT, while for the SR setup two phase-retrieval (PhR) kernels (referred to as “smooth” and “sharp”) were alternatively applied to each projection before tomographic reconstruction, with voxel size of 57 × 57 × 50 µm3. The CNR for the clinical BCT system can be up to 2-times higher than SR system, while the SNR can be 3-times lower than SR system, when the smooth PhR is used. The peak frequency of the NPS for the SR BCT is 2 to 4-times higher (0.9 mm−1 and 1.4 mm−1 with smooth and sharp PhR, respectively) than the clinical BCT (0.4 mm−1). The spatial resolution (MTF10%) was estimated to be 1.3 lp/mm for the clinical BCT, and 5.0 lp/mm and 6.7 lp/mm for the SR BCT with the smooth and sharp PhR, respectively. The smallest fiber visible in the SR BCT has a diameter of 0.15 mm, while for the clinical BCT is 0.41 mm. Calcification clusters with diameter of 0.13 mm are visible in the SR BCT, while the smallest diameter for the clinical BCT is 0.29 mm. As expected, the image quality of the SR BCT outperforms the clinical BCT system, providing images with higher spatial resolution and SNR, and with finer granularity. Nevertheless, this study assesses the image quality gap quantitatively, giving indications on the benefits associated with SR BCT and providing a benchmarking basis for its clinical implementation. In addition, SR-based studies can provide a gold-standard in terms of achievable image quality, constituting an upper-limit to the potential clinical development of a given technique.
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Affiliation(s)
- Luca Brombal
- Department of Physics, University of Trieste, 34127, Trieste, Italy.,INFN Division of Trieste, 34127, Trieste, Italy
| | - Fulvia Arfelli
- Department of Physics, University of Trieste, 34127, Trieste, Italy.,INFN Division of Trieste, 34127, Trieste, Italy
| | - Pasquale Delogu
- Department of Physical Sciences, Earth and Environment, University of Siena, 53100, Siena, Italy.,INFN Division of Pisa, 56127, Pisa, Italy
| | - Sandro Donato
- Department of Physics, University of Trieste, 34127, Trieste, Italy.,INFN Division of Trieste, 34127, Trieste, Italy
| | - Giovanni Mettivier
- Department of Physics, University of Napoli Federico II, 80126, Fuorigrotta Napoli, Italy.,INFN Division of Napoli, 80126, Fuorigrotta Napoli, Italy
| | - Koen Michielsen
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands
| | - Piernicola Oliva
- Department of Chemistry and Pharmacy, University of Sassari, 07100, Sassari, Italy.,INFN Division of Cagliari, 09042, Monserrato Cagliari, Italy
| | - Angelo Taibi
- Department of Physics and Earth Science, University of Ferrara, 44122, Ferrara, Italy.,INFN Division of Ferrara, 44122, Ferrara, Italy
| | - Ioannis Sechopoulos
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands.,Dutch Expert Center for Screening (LRCB), 6503 GJ, Nijmegen, The Netherlands
| | - Renata Longo
- Department of Physics, University of Trieste, 34127, Trieste, Italy. .,INFN Division of Trieste, 34127, Trieste, Italy.
| | - Christian Fedon
- INFN Division of Trieste, 34127, Trieste, Italy.,Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands
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14
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Gureyev TE, Nesterets YI, Baran PM, Taba ST, Mayo SC, Thompson D, Arhatari B, Mihocic A, Abbey B, Lockie D, Fox J, Kumar B, Prodanovic Z, Hausermann D, Maksimenko A, Hall C, Peele AG, Dimmock M, Pavlov KM, Cholewa M, Lewis S, Tromba G, Quiney HM, Brennan PC. Propagation-based x-ray phase-contrast tomography of mastectomy samples using synchrotron radiation. Med Phys 2019; 46:5478-5487. [PMID: 31574166 DOI: 10.1002/mp.13842] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/02/2019] [Accepted: 09/18/2019] [Indexed: 01/04/2023] Open
Abstract
PURPOSE Propagation-based phase-contrast computed tomography (PB-CT) is a method for three-dimensional x-ray imaging that utilizes refraction, as well as absorption, of x rays in the tissues to increase the signal-to-noise ratio (SNR) in the resultant images, in comparison with equivalent conventional absorption-only x-ray tomography (CT). Importantly, the higher SNR is achieved without sacrificing spatial resolution or increasing the radiation dose delivered to the imaged tissues. The present work has been carried out in the context of the current development of a breast CT imaging facility at the Australian Synchrotron. METHODS Seven unfixed complete mastectomy samples with and without breast cancer lesions have been imaged using absorption-only CT and PB-CT techniques under controlled experimental conditions. The radiation doses delivered to the mastectomy samples during the scans were comparable to those approved for mammographic screening. Physical characteristics of the reconstructed images, such as spatial resolution and SNR, have been measured and compared with the results of the radiological quality assessment of the complete absorption CT and PB-CT image stacks. RESULTS Despite the presence of some image artefacts, the PB-CT images have outperformed comparable absorption CT images collected at the same radiation dose, in terms of both the measured objective image characteristics and the radiological image scores. The outcomes of these experiments are shown to be consistent with predictions of the theory of PB-CT imaging and previous reported experimental studies of this imaging modality. CONCLUSIONS The results presented in this paper demonstrate that PB-CT holds a high potential for improving on the quality and diagnostic value of images obtained using existing medical x-ray technologies, such as mammography and digital breast tomosynthesis (DBT). If implemented at suitable synchrotron imaging facilities, PB-CT can be used to complement existing imaging modalities, leading to more accurate breast cancer diagnosis.
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Affiliation(s)
- T E Gureyev
- The University of Melbourne, Parkville, 3010, Australia.,The University of Sydney, Lidcombe, 2141, Australia.,Monash University, Clayton, 3800, Australia.,University of New England, Armidale, 2351, Australia
| | - Ya I Nesterets
- University of New England, Armidale, 2351, Australia.,Commonwealth Scientific and Industrial Research Organisation, Clayton, 3168, Australia
| | - P M Baran
- The University of Melbourne, Parkville, 3010, Australia
| | - S T Taba
- The University of Sydney, Lidcombe, 2141, Australia
| | - S C Mayo
- Commonwealth Scientific and Industrial Research Organisation, Clayton, 3168, Australia
| | - D Thompson
- University of New England, Armidale, 2351, Australia.,Commonwealth Scientific and Industrial Research Organisation, Clayton, 3168, Australia
| | - B Arhatari
- The University of Melbourne, Parkville, 3010, Australia.,La Trobe University, Bundoora, 3086, Australia
| | - A Mihocic
- La Trobe University, Bundoora, 3086, Australia
| | - B Abbey
- La Trobe University, Bundoora, 3086, Australia
| | - D Lockie
- Maroondah BreastScreen, Ringwood East, 3135, Australia
| | - J Fox
- Monash University, Clayton, 3800, Australia
| | - B Kumar
- Monash University, Clayton, 3800, Australia
| | | | - D Hausermann
- Australian Synchrotron, ANSTO, Clayton, 3168, Australia
| | - A Maksimenko
- Australian Synchrotron, ANSTO, Clayton, 3168, Australia
| | - C Hall
- Australian Synchrotron, ANSTO, Clayton, 3168, Australia
| | - A G Peele
- Australian Synchrotron, ANSTO, Clayton, 3168, Australia
| | - M Dimmock
- Monash University, Clayton, 3800, Australia
| | - K M Pavlov
- Monash University, Clayton, 3800, Australia.,University of New England, Armidale, 2351, Australia.,University of Canterbury, Christchurch, 8041, New Zealand
| | - M Cholewa
- University of Rzeszow, 35-310, Rzeszow, Poland
| | - S Lewis
- The University of Sydney, Lidcombe, 2141, Australia
| | - G Tromba
- Elettra Sincrotrone, 34149, Basovizza, Trieste, Italy
| | - H M Quiney
- The University of Melbourne, Parkville, 3010, Australia
| | - P C Brennan
- The University of Sydney, Lidcombe, 2141, Australia
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15
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Pacilè S, Dullin C, Baran P, Tonutti M, Perske C, Fischer U, Albers J, Arfelli F, Dreossi D, Pavlov K, Maksimenko A, Mayo SC, Nesterets YI, Taba ST, Lewis S, Brennan PC, Gureyev TE, Tromba G, Wienbeck S. Free propagation phase-contrast breast CT provides higher image quality than cone-beam breast-CT at low radiation doses: a feasibility study on human mastectomies. Sci Rep 2019; 9:13762. [PMID: 31551475 PMCID: PMC6760215 DOI: 10.1038/s41598-019-50075-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 08/22/2019] [Indexed: 12/09/2022] Open
Abstract
In this study we demonstrate the first direct comparison between synchrotron x-ray propagation-based CT (PB-CT) and cone-beam breast-CT (CB-CT) on human mastectomy specimens (N = 12) including different benign and malignant lesions. The image quality and diagnostic power of the obtained data sets were compared and judged by two independent expert radiologists. Two cases are presented in detail in this paper including a comparison with the corresponding histological evaluation. Results indicate that with PB-CT it is possible to increase the level of contrast-to-noise ratio (CNR) keeping the same level of dose used for the CB-CT or achieve the same level of CNR reached by CB-CT at a lower level of dose. In other words, PB-CT can achieve a higher diagnostic potential compared to the commercial breast-CT system while also delivering a considerably lower mean glandular dose. Therefore, we believe that PB-CT technique, if translated to a clinical setting, could have a significant impact in improving breast cancer diagnosis.
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Affiliation(s)
- S Pacilè
- Elettra Sincrotrone Trieste S.C.p.A., Basovizza, Italy. .,Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
| | - C Dullin
- Elettra Sincrotrone Trieste S.C.p.A., Basovizza, Italy.,Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.,Translational Molecular Imaging, Max-Plank-Institute for Experimental Medicine, Goettingen, Germany
| | - P Baran
- ARC Centre of Excellence in Advanced Molecular Imaging, School of Physics, The University of Melbourne, Parkville, Australia
| | - M Tonutti
- Department of Radiology, Academic Hospital of Trieste, Trieste, Italy
| | - C Perske
- Institute for Pathology, University Medical Center Goettingen, Goettingen, Germany
| | - U Fischer
- Diagnostic Breast Center Goettingen, Goettingen, Germany
| | - J Albers
- Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany
| | - F Arfelli
- Department of Physics, University of Trieste, Trieste, Italy
| | - D Dreossi
- Elettra Sincrotrone Trieste S.C.p.A., Basovizza, Italy
| | - K Pavlov
- School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand.,School of Science and Technology, University of New England, Armidale, Australia.,School of Physics and Astronomy, Monash University, Clayton, Australia
| | | | - S C Mayo
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia
| | - Y I Nesterets
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia.,School of Science and Technology, University of New England, Armidale, Australia
| | - S Tavakoli Taba
- The University of Sydney, BREAST, Faculty of Health Sciences, Lidcombe, New South Wales, Australia
| | - S Lewis
- The University of Sydney, BREAST, Faculty of Health Sciences, Lidcombe, New South Wales, Australia
| | - P C Brennan
- The University of Sydney, BREAST, Faculty of Health Sciences, Lidcombe, New South Wales, Australia
| | - T E Gureyev
- ARC Centre of Excellence in Advanced Molecular Imaging, School of Physics, The University of Melbourne, Parkville, Australia.,School of Science and Technology, University of New England, Armidale, Australia.,School of Physics and Astronomy, Monash University, Clayton, Australia.,The University of Sydney, BREAST, Faculty of Health Sciences, Lidcombe, New South Wales, Australia
| | - G Tromba
- Elettra Sincrotrone Trieste S.C.p.A., Basovizza, Italy
| | - S Wienbeck
- Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany
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