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Sun R, Wang Z, Wang H, Chen Z, Yao Y, Zhang H, Gao Y, Hao X, Liu H, Zhang Y. Micrometer-Resolution X-ray Imaging Enabled by a Flexible Perovskite Screen. ACS APPLIED MATERIALS & INTERFACES 2022; 14:36801-36806. [PMID: 35929755 DOI: 10.1021/acsami.2c08238] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Spatial resolution improvement has been keenly sought recently in the perovskite-based scintillation community. Here, micrometer resolution (∼2.0 μm) was achieved by using an X-ray imaging screen of self-assembled perovskite nanosheets. The assembly behavior of nanosheets was applicable to many substrates, including glass, metal, and polymer surfaces. The use of a polymer substrate not only eliminated the parasite absorption of X-ray but also enabled a flexible screen with robust bending stability. The assembly behavior, on the other hand, provided vicinity for an efficient energy transfer between nanosheets of varied thicknesses, as evidenced by both transient absorption and photoluminescence lifetime measurements. Importantly, the ensuing large Stokes shift (∼316 meV) significantly mitigated the reabsorption issue, leading to a comparable light yield to LYSO/Ce crystals. With the aid of the synchrotron-based collimated X-ray beam, the fine structure of two-dimensional objects, such as microchips, was clearly visualized with the flexible scintillation screen. Furthermore, those challenging biological samples were also scanned by phase-contrast imaging, whereby a three-dimensional reconstruction was obtained successfully. Despite the labile nature of the perovskite screen, this work represents the state-of-the-art spatial resolution for perovskite scintillation.
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Affiliation(s)
- Ruijia Sun
- Institute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan 250022, Shandong, China
| | - Zhaofen Wang
- State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, Shandong,, China
| | - Hanqiu Wang
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255000, Shandong, China
| | - Zhihao Chen
- School of Physics, Shandong University, Jinan 250022, Shandong, China
| | - Yige Yao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing 100871, China
| | - Haipeng Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Yunan Gao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing 100871, China
| | - Xiaotao Hao
- School of Physics, Shandong University, Jinan 250022, Shandong, China
| | - Huiqiang Liu
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255000, Shandong, China
| | - Yuhai Zhang
- Institute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan 250022, Shandong, China
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Jadhav A, Phatangare A, Ganesapandy T, Bholane G, Sonawane A, Khantwal N, Kamble P, Mondal P, Dhamgaye V, Dahiwale S, Phase D, Bhoraskar V, Dhole S. Synchrotron X-ray assisted degradation of industrial wastewater by advanced oxidation process. Radiat Phys Chem Oxf Engl 1993 2022. [DOI: 10.1016/j.radphyschem.2022.110161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Wei G, Liu Y, Ji X, Li Q, Xing Y, Xue Y, Liu H. Micro-morphological feature visualization, auto-classification, and evolution quantitative analysis of tumors by using SR-PCT. Cancer Med 2021; 10:2319-2331. [PMID: 33682368 PMCID: PMC7982622 DOI: 10.1002/cam4.3796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 11/15/2022] Open
Abstract
Tissue micro‐morphological abnormalities and interrelated quantitative data can provide immediate evidences for tumorigenesis and metastasis in microenvironment. However, the multiscale three‐dimensional nondestructive pathological visualization, measurement, and quantitative analysis are still a challenging for the medical imaging and diagnosis. In this work, we employed the synchrotron‐based X‐ray phase‐contrast tomography (SR‐PCT) combined with phase‐and‐attenuation duality phase retrieval to reconstruct and extract the volumetric inner‐structural characteristics of tumors in digesting system, helpful for tumor typing and statistic calculation of different tumor specimens. On the basis of the feature set including eight types of tumor micro‐lesions presented by our SR‐PCT reconstruction with high density resolution, the AlexNet‐based deep convolutional neural network model was trained and obtained the 94.21% of average accuracy of auto‐classification for the eight types of tumors in digesting system. The micro‐pathomophological relationship of liver tumor angiogenesis and progression were revealed by quantitatively analyzing the microscopic changes of texture and grayscale features screened by a machine learning method of area under curve and principal component analysis. The results showed the specific path and clinical manifestations of tumor evolution and indicated that these progressions of tumor lesions rely on its inflammation microenvironment. Hence, this high phase‐contrast 3D pathological characteristics and automatic analysis methods exhibited excellent recognizable and classifiable for micro tumor lesions.
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Affiliation(s)
- Gong‐Xiang Wei
- School of Physics and Optoelectronic EngineeringShandong University of TechnologyZiboChina
- State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence DiseasesFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
| | - Yun‐Yan Liu
- School of Physics and Optoelectronic EngineeringShandong University of TechnologyZiboChina
- State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence DiseasesFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
| | - Xue‐Wen Ji
- State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence DiseasesFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
- Hepatobiliary SurgeryFirst Affiliated HospitalXinjiang Medical UniversityUrumqiChina
| | - Qiao‐Xin Li
- State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence DiseasesFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
- Department of PathologyFirst Affiliated HospitalXinjiang Medical UniversityUrumqiChina
| | - Yan Xing
- State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence DiseasesFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
- Imaging CenterFirst Affiliated HospitalXinjiang Medical UniversityUrumqiChina
| | - Yan‐Ling Xue
- SSRFShanghai Advanced Research InstituteChinese Academy of SciencesShanghaiChina
| | - Hui‐Qiang Liu
- School of Physics and Optoelectronic EngineeringShandong University of TechnologyZiboChina
- State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence DiseasesFirst Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
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Ghani MU, Gregory B, Omoumi F, Zheng B, Yan A, Wu X, Liu H. Impact of a single distance phase retrieval algorithm on spatial resolution in X-ray inline phase sensitive imaging. BIOMEDICAL SPECTROSCOPY AND IMAGING 2019; 8:29-40. [PMID: 31788419 PMCID: PMC6883648 DOI: 10.3233/bsi-190186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
A single-projection based phase retrieval method based on the phase attenuation duality principle (PAD) was used to compare the spatial resolution of the acquired phase sensitive and PAD processed phase retrieved images. An inline phase sensitive prototype was used to acquire the phase sensitive images. The prototype incorporates a micro-focus x-ray source and a flat panel detector with a 50 μm pixel pitch. A phantom composed of a 2 cm thick 50-50 adipose-glandular mimicking slab sandwiched with a 0.82 cm thick slanted PMMA sharp edge was used. Phase sensitive image of the phantom was acquired at 120 kV, 3.35 mAs with a 16 μm tube focal spot size under a geometric magnification (M) of 2.5. The PAD based method was applied to the acquired phase sensitive image for the retrieval of phase values. With necessary data processing, modulation transfer function (MTF) curves were determined for the estimation and comparison of the spatial resolution. The PAD processed phase retrieved values of the phantom were in good agreement with the theoretically calculated values. Phase sensitive images showed higher spatial resolution at all spatial frequencies compared to the phase retrieved images. It was noted that the high-frequency signal components in the retrieved image were suppressed that resulted in lower MTF values. When compared to the phase sensitive image, the cutoff resolution (10% MTF) for phase retrieved image dropped 32% from 15.6 lp/mm (32μm) to 10.6 lp/mm (47μm). The resolution offered by this phase sensitive prototype is radiographically enough to detect breast cancer.
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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 73019, USA
| | - Bradley Gregory
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma,
Norman, OK 73019, USA
| | - Farid Omoumi
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma,
Norman, OK 73019, USA
| | - Bin Zheng
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma,
Norman, OK 73019, USA
| | - Aimin Yan
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35249, USA
| | - Xizeng Wu
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35249, USA
| | - Hong Liu
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma,
Norman, OK 73019, USA
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Wang Z, Ren K, Shi X, Liu D, Wu Z, Gao K. Technical Note: Single-shot phase retrieval method for synchrotron-based high-energy x-ray grating interferometry. Med Phys 2019; 46:1317-1322. [DOI: 10.1002/mp.13399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 11/20/2018] [Accepted: 01/18/2019] [Indexed: 01/31/2023] Open
Affiliation(s)
- Zhili Wang
- School of Electronic Science & Applied Physics; Hefei University of Technology; Hefei 230009 China
- Beijing Advanced Innovation Center for Imaging Technology; Capital Normal University; Beijing 100048 People's Republic of China
| | - Kun Ren
- School of Electronic Science & Applied Physics; Hefei University of Technology; Hefei 230009 China
| | - Xiaomin Shi
- School of Electronic Science & Applied Physics; Hefei University of Technology; Hefei 230009 China
| | - Dalin Liu
- School of Electronic Science & Applied Physics; Hefei University of Technology; Hefei 230009 China
| | - Zhao Wu
- National Synchrotron Radiation Laboratory University of Science and Technology of China; 230029 Hefei China
| | - Kun Gao
- National Synchrotron Radiation Laboratory University of Science and Technology of China; 230029 Hefei China
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Liu H, Ji X, Ma Y, Du G, Fu Y, Abudureheman Y, Liu W. Quantitative characterization and diagnosis via hard X-ray phase-contrast microtomography. Microsc Res Tech 2018; 81:1173-1181. [PMID: 30238563 DOI: 10.1002/jemt.23114] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/31/2018] [Accepted: 06/19/2018] [Indexed: 11/08/2022]
Abstract
Nondestructive three-dimensional (3D) micromorphological imaging technique is essential for hepatic alveolar echinococcosis (HAE) disease to determine its damage level and early diagnosis, assess relative drug therapy and optimize treatment strategies. However, the existing morphological researches of HAE mainly depend on the conventional CT, MRI, or ultrasound in hospitals, unfortunately confronting with the common limit of imaging resolution and sensitivity, especially for tiny or early HAE lesions. Now we presented a phase-retrieval-based synchrotron X-ray phase computed tomography (PR-XPCT) with striking contrast-to-noise ratio and high-density resolution to visualize the HAE nondestructive 3D structures and quantitatively segment different pathological characteristics of HAE lesions without staining process at the micrometer scale. Our experimental results of the HAE rat models at early and developed pathological stages and albendazole liposome (L-ABZ) therapeutic feeding models successfully exhibited the different HAE pathological 3D morphological and microstructural characteristics with excellent contrast and high resolution, demonstrating its availability and superiority. Moreover, we achieved the quantitative statistics and analysis of the pathological changes of HAE lesions at different stages and L-ABZ therapeutic evaluation, helpful to understanding the development and drug treatment of HAE disease. The PR-XPCT-based quantitative segmentation and characterization has a great potential in detection and analysis of soft tissue pathological changes, such as different tumors.
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Affiliation(s)
- Huiqiang Liu
- College of Medical Engineering and Technology, Xinjiang Medical University, China
| | - Xuewen Ji
- Hepatobiliary Surgery, First Affiliated Hospital, Xinjiang Medical University, China
| | - Yan Ma
- College of Medical Engineering and Technology, Xinjiang Medical University, China
| | - Guohao Du
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Yanan Fu
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Yibanu Abudureheman
- Imaging Center, First Affiliated Hospital, Xinjiang Medical University, China
| | - Wenya Liu
- Imaging Center, First Affiliated Hospital, Xinjiang Medical University, China
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Ghani MU, Wong MD, Omoumi FH, Zheng B, Fajardo LL, Yan A, Wu X, Liu H. Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems. Phys Med 2018; 47:34-41. [PMID: 29609816 DOI: 10.1016/j.ejmp.2018.02.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 01/22/2018] [Accepted: 02/15/2018] [Indexed: 11/28/2022] Open
Abstract
This study compared the detectability of simulated tumors using a high-energy X-ray inline phase sensitive digital breast tomosynthesis (DBT) prototype and a commercial attenuation-based DBT system. Each system imaged a 5-cm thick modular breast phantom with 50-50 adipose-glandular percentage density containing contrast-detail (CD) test objects to simulate different tumor sizes. A commercial DBT system acquired 15 projection views over 15 degrees (15d-15p) was used to acquire the attenuation-based projection views and to reconstruct the conventional DBT slices. Attenuation-based projection views were acquired at 32 kV, 46 mAs with a mean glandular dose (Dg) of 1.6 mGy. For acquiring phase sensitive projection views, the prototype utilized two acquisition geometries: 11 projection views were acquired over 15 degrees (15d-11p), and 17 projection views were acquired over 16 degrees (16d-17p) at 120 kV, 5.27 mAs with 1.51 mGy under the magnification (M) of 2. A phase retrieval algorithm based on the phase-attenuation duality (PAD) was applied to each projection view, and a modified Feldkamp-Davis-Kress (FDK) algorithm was used to reconstruct the phase sensitive DBT slices. Simulated tumor margins were rated as more conspicuous and better visualized for both phase sensitive acquisition geometries versus conventional DBT imaging. The CD curves confirmed the improvement in both contrast and spatial resolutions with the phase sensitive DBT imaging. The superiority of the phase sensitive DBT imaging was further endorsed by higher contrast to noise ratio (CNR) and figure-of-merit (FOM) values. The CNR improvements provided by the phase sensitive DBT prototype were sufficient to offset the noise reduction provided by the attenuation-based DBT imaging.
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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 73019, USA.
| | - Molly D Wong
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
| | - Farid H Omoumi
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
| | - Bin Zheng
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
| | - Laurie L Fajardo
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA.
| | - Aimin Yan
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35249, USA.
| | - Xizeng Wu
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35249, USA.
| | - Hong Liu
- Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
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Liu H, Zhang C, Fan X, Duan Y, Xiao T, Du G, Fu Y, Liu H, Wen H. Robust phase-retrieval-based X-ray tomography for morphological assessment of early hepatic echinococcosis infection in rats. PLoS One 2017; 12:e0183396. [PMID: 28886025 PMCID: PMC5590738 DOI: 10.1371/journal.pone.0183396] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 08/03/2017] [Indexed: 11/24/2022] Open
Abstract
Propagation-based phase-contrast computed micro-tomography (PPCT) dominates the non-destructive, three-dimensional inner-structure measurement in synchrotron-based biomedical research due to its simple experimental setup. To quantitatively visualize tiny density variations in soft tissues and organs closely related to early pathological morphology, an experimental study of synchrotron-based X-ray PPCT combined with generalized phase and attenuation duality (PAD) phase retrieval was implemented with the hepatic echinococcosis (HE) infection rat model at different stages. We quantitatively analyzed and evaluated the different pathological characterizations of hepatic echinococcosis during the development of this disease via our PAD-based PPCT and especially provided evidence that hepatic alveolar echinococcosis invades the liver tissue and spreads through blood flow systems with abundant blood supply in the early stage. Additionally, the infiltration of tiny vesicles in HE lesions can be clearly observed by our PAD-PPCT technique due to the striking contrast-to-noise ratio (CNR) and mass density resolution, which cannot be found by the medical imaging techniques, such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound, in hospitals. The results demonstrated that our PAD-PPCT technique has a great potential for indicating the subtle structural information of pathological changes in soft biomedical specimens, especially helpful for the research of early micro-morphology of diseases.
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Affiliation(s)
- Huiqiang Liu
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China
| | - Chuanshan Zhang
- State Key Laboratory Incubation Base of Xinjiang Major Diseases Research, FirstAffiliated Hospital, Xinjiang Medical University, Urumqi, China
| | - Xiaoxi Fan
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China
| | - Yingni Duan
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China
| | - Tiqiao Xiao
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Guohao Du
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Yanan Fu
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Haigang Liu
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Hao Wen
- State Key Laboratory Incubation Base of Xinjiang Major Diseases Research, FirstAffiliated Hospital, Xinjiang Medical University, Urumqi, China
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Ghani MU, Wong MD, Wu D, Zheng B, Fajardo LL, Yan A, Fuh J, Wu X, Liu H. Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios. Phys Med Biol 2017; 62:3523-3538. [PMID: 28379851 DOI: 10.1088/1361-6560/aa644b] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The objective of this study was to demonstrate the potential benefits of using high energy x-rays in comparison with the conventional mammography imaging systems for phase sensitive imaging of breast tissues with varying glandular-adipose ratios. This study employed two modular phantoms simulating the glandular (G) and adipose (A) breast tissue composition in 50 G-50 A and 70 G-30 A percentage densities. Each phantom had a thickness of 5 cm with a contrast detail test pattern embedded in the middle. For both phantoms, the phase contrast images were acquired using a micro-focus x-ray source operated at 120 kVp and 4.5 mAs, with a magnification factor (M) of 2.5 and a detector with a 50 µm pixel pitch. The mean glandular dose delivered to the 50 G-50 A and 70 G-30 A phantom sets were 1.33 and 1.3 mGy, respectively. A phase retrieval algorithm based on the phase attenuation duality that required only a single phase contrast image was applied. Conventional low energy mammography images were acquired using GE Senographe DS and Hologic Selenia systems utilizing their automatic exposure control (AEC) settings. In addition, the automatic contrast mode (CNT) was also used for the acquisition with the GE system. The AEC mode applied higher dose settings for the 70 G-30 A phantom set. As compared to the phase contrast images, the dose levels for the AEC mode acquired images were similar while the dose levels for the CNT mode were almost double. The observer study, contrast-to-noise ratio and figure of merit comparisons indicated a large improvement with the phase retrieved images in comparison to the AEC mode images acquired with the clinical systems for both density levels. As the glandular composition increased, the detectability of smaller discs decreased with the clinical systems, particularly with the GE system, even at higher dose settings. As compared to the CNT mode (double dose) images, the observer study also indicated that the phase retrieved images provided similar or improved detection for all disc sizes except for the disk diameters of 2 mm and 1 mm for the 50 G-50 A phantom and 3 mm and 0.5 mm for the 70 G-30 A phantom. This study demonstrated the potential of utilizing a high energy phase sensitive x-ray imaging system to improve lesion detection and reduce radiation dose when imaging breast tissues with varying glandular compositions.
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Affiliation(s)
- Muhammad U Ghani
- Center for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America
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Liu H, Ji X, Sun L, Xiao T, Xie H, Fu Y, Zhao Y, Liu W, Zhang X, Lin R. Visualization and Pathological Characteristics of Hepatic Alveolar Echinococcosis with Synchrotron-based X-ray Phase Sensitive Micro-tomography. Sci Rep 2016; 6:38085. [PMID: 27897249 PMCID: PMC5126691 DOI: 10.1038/srep38085] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 11/03/2016] [Indexed: 11/16/2022] Open
Abstract
Propagation-based phase-contrast computed tomography (PPCT) utilizes highly sensitive phase-contrast technology applied to X-ray micro-tomography, especially with the extensive use of synchrotron radiation (SR). Performing phase retrieval (PR) on the acquired angular projections can enhance image contrast and enable quantitative imaging. We employed the combination of SR-PPCT and PR for the histopathological evaluation of hepatic alveolar echinococcosis (HAE) disease and demonstrated the validity and superiority of PR-based SR-PPCT. A high-resolution angular projection data set of a human postoperative specimen of HAE disease was acquired, which was processed by graded ethanol concentration fixation (GECF). The reconstructed images from both approaches, with the projection data directly used and preprocessed by PR for tomographic reconstruction, were compared in terms of the tissue contrast-to-noise ratio and density spatial resolution. The PR-based SR-PPCT was selected for microscale measurement and the 3D visualization of HAE disease. Our experimental results demonstrated that the PR-based SR-PPCT technique is greatly suitable for the discrimination of pathological tissues and the characterization of HAE. In addition, this new technique is superior to conventional hospital CT and microscopy for the three-dimensional, non-destructive microscale measurement of HAE. This PR-based SR-PPCT technique has great potential for in situmicroscale histopathological analysis and diagnosis, especially for applications involving soft tissues and organs.
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Affiliation(s)
- Huiqiang Liu
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumchi 830011, China
| | - Xuewen Ji
- Hepatobiliary &Echinococcosis Surgery, FirstAffiliated Hospital, Xinjiang Medical University, Urumchi 830054, China
| | - Li Sun
- State Key Laboratory Incubation Base of Xinjiang Major Diseases Research, FirstAffiliated Hospital, Xinjiang Medical University, Urumchi 830054, China
| | - Tiqiao Xiao
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Honglan Xie
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Yanan Fu
- SSRF, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Yuan Zhao
- Imaging Center, First Affiliated Hospital, Xinjiang Medical University, Urumchi 830054, China
| | - Wenya Liu
- Imaging Center, First Affiliated Hospital, Xinjiang Medical University, Urumchi 830054, China
| | - Xueliang Zhang
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumchi 830011, China
| | - Renyong Lin
- State Key Laboratory Incubation Base of Xinjiang Major Diseases Research, FirstAffiliated Hospital, Xinjiang Medical University, Urumchi 830054, China
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