Comparison of quantitative multi-material phase-retrieval algorithms in propagation-based phase-contrast X-ray tomography

Häggmark, Ilian; Vågberg, William; Hertz, Hans M.; Burvall, Anna

doi:10.1364/oe.25.033543

Cited by 21 publications

(13 citation statements)

References 25 publications

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“…For the latter technique, one or more raw images at different focus-tosample distances are analysed to numerically retrieve one optimal image through the Paganin method (Paganin et al, 2002). NanoCT enables imaging of larger samples of $100 mm, albeit with a lower resolution of $50-100 nm, as dictated by the depth-of-field limitation (Tsai et al, 2016), and arguably with quantitatively less accurate phase contrast as Paganin's approach is based on homogeneous single-component samples (Ha ¨ggmark et al, 2017;Hehn et al, 2018). For 3D CXDI, the depth of field is not a concern, because the resolution is governed by the maximum scattering angle.…”

Section: Resultsmentioning

confidence: 99%

Nanoscale imaging of shale fragments with coherent X-ray diffraction

Chattopadhyay¹,

Madathiparambil²,

Mürer³

et al. 2020

J Appl Cryst

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Despite the abundance of shales in the Earth's crust and their industrial and environmental importance, their microscale physical properties are poorly understood, owing to the presence of many structurally related mineral phases and a porous network structure spanning several length scales. Here, the use of coherent X-ray diffraction imaging (CXDI) to study the internal structure of microscopic shale fragments is demonstrated. Simultaneous wide-angle X-ray diffraction (WAXD) measurement facilitated the study of the mineralogy of the shale microparticles. It was possible to identify pyrite nanocrystals as inclusions in the quartz–clay matrix and the volume of closed unconnected pores was estimated. The combined CXDI–WAXD analysis enabled the establishment of a correlation between sample morphology and crystallite shape and size. The results highlight the potential of the combined CXDI–WAXD approach as an upcoming imaging modality for 3D nanoscale studies of shales and other geological formations via serial measurements of microscopic fragments.

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Section: Resultsmentioning

confidence: 99%

Nanoscale imaging of shale fragments with coherent X-ray diffraction

Chattopadhyay¹,

Madathiparambil²,

Mürer³

et al. 2020

J Appl Cryst

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“…The phase retrieval operation may affect radiomic feature quantification. Although many phase retrieval algorithms have been proposed utilizing singleand multi-SDD(s) PCI-CT data (35)(36)(37), the use of various algorithms may lead to different quantitative results. In addition, we found ILPCI-CT without phase retrieval could also supply clear imaging results.…”

Section: Discussionmentioning

confidence: 99%

Characterization of microvessels and parenchyma in in-line phase contrast imaging CT: healthy liver, cirrhosis and hepatocellular carcinoma

Duan¹,

Hu²,

Qiu³

et al. 2019

Quant. Imaging Med. Surg

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Background: Hepatocellular carcinoma (HCC) is a cancer with a poor prognosis, and approximately 80% of HCC cases develop from cirrhosis. Imaging techniques in the clinic seem to be insufficient for revealing the microstructures of liver disease. In recent years, phase contrast imaging CT (PCI-CT) has opened new avenues for biomedical applications owing to its unprecedented spatial and contrast resolution. The aim of this study was to present three-dimensional (3D) visualization of human healthy liver, cirrhosis and HCC using a PCI-CT technique called in-line phase contrast imaging CT (ILPCI-CT) and to quantitatively evaluate the variations of these tissues, focusing on the liver parenchyma and microvasculature. Methods: Tissue samples from 9 surgical specimens of normal liver (n=3), cirrhotic liver (n=2), and HCC (n=4) were imaged using ILPCI-CT at the Shanghai Synchrotron Radiation Facility (SSRF) without contrast agents. 3D visualization of all ex vivo liver samples are presented. To quantitatively evaluate the vessel features, the vessel branch angles of each sample were clearly depicted. Additionally, radiomic features of the liver parenchyma extracted from the 3D images were measured. To evaluate the stability of the features, the percent coefficient of variation (%COV) was calculated for each radiomic feature. A %COV <30 was considered to be low variation. Finally, one-way ANOVA, followed by Tukey's test, was used to determine significant changes among the different liver specimens. Results: ILPCI-CT allows for a clearer view of the architecture of the vessels and reveals more structural details than does conventional radiography. Combined with the 3D visualization technique, ILPCI-CT enables the acquisition of an accurate description of the 3D vessel morphology in liver samples. Qualitative descriptions and quantitative assessment of microvessels demonstrated clear differences among human healthy liver, cirrhotic liver and HCC. In total, 38 (approximately 51%) radiomic features had low variation, including 11 first-order features, 16 GLCM features, 6 GLRLM features and 5 GLSZM features. The differences in the mean vessel branch angles and 3 radiomic features (first-order entropy, GLCM-inverse variance and GLCM-sum entropy) were statistically significant among the three groups of samples. Conclusions: ILPCI-CT may allow for morphologic descriptions and quantitative evaluation of vessel microstructures and parenchyma in human healthy liver, cirrhotic liver and HCC. Vessel branch angles and radiomic features extracted from liver parenchyma images can be used to distinguish the three kinds of liver tissues.

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“…We chose the established Paganin method for this work in order to avoid erroneous classifications in the virtual x-ray histology since artifacts from the phase retrieval are easily identified as blurring or edge enhancement. However, recently developed phase retrieval algorithms based on interface correction 30 – 32 can generalize the phase-retrieval concept to several materials by including rather relaxed assumption about the object. Such multi-material methods could further improve image quality in this type of sample, although they naturally come at the cost of higher computational complexity.…”

Section: Discussionmentioning

confidence: 99%

Cellular-resolution 3D virtual histology of human coronary arteries using x-ray phase tomography

Vågberg

Persson

Szekeres

et al. 2018

Sci Rep

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High-spatial-resolution histology of coronary artery autopsy samples play an important role for understanding heart disease such as myocardial infarction. Unfortunately, classical histology is often destructive, has thick slicing, requires extensive sample preparation, and is time-consuming. X-ray micro-CT provides fast nondestructive 3D imaging but absorption contrast is often insufficient, especially for observing soft-tissue features with high resolution. Here we show that propagation-based x-ray phase-contrast tomography has the resolution and contrast to image clinically relevant soft-tissue features in intact coronary artery autopsy samples with cellular resolution. We observe microscopic lipid-rich plaques, individual adipose cells, ensembles of few foam cells, and the thin fibrous cap. The method relies on a small-spot laboratory x-ray microfocus source, and provides high-spatial resolution in all three dimensions, fast data acquisition, minimum sample distortion and requires no sample preparation.

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Comparison of quantitative multi-material phase-retrieval algorithms in propagation-based phase-contrast X-ray tomography

Cited by 21 publications

References 25 publications

Nanoscale imaging of shale fragments with coherent X-ray diffraction

Nanoscale imaging of shale fragments with coherent X-ray diffraction

Characterization of microvessels and parenchyma in in-line phase contrast imaging CT: healthy liver, cirrhosis and hepatocellular carcinoma

Cellular-resolution 3D virtual histology of human coronary arteries using x-ray phase tomography

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