Phase Contrast Imaging Based Microbubble Monitoring of Radiofrequency Ablation: An ex vivo Study

AbstractCardiovascular research is in an ongoing quest for a superior imaging method to integrate gross-anatomical information with microanatomy, combined with quantifiable parameters of cardiac structure. In recent years, synchrotron radiation-based X-ray Phase Contrast Imaging (X-PCI) has been extensively used to characterize soft tissue in detail. The objective was to use X-PCI to comprehensively quantify ischemic remodeling of different myocardial structures, from cell to organ level, in a rat model of myocardial infarction. Myocardial infarction-induced remodeling was recreated in a well-established rodent model. Ex vivo rodent hearts were imaged by propagation based X-PCI using two configurations resulting in 5.8 µm and 0.65 µm effective pixel size images. The acquired datasets were used for a comprehensive assessment of macrostructural changes including the whole heart and vascular tree morphology, and quantification of left ventricular myocardial thickness, mass, volume, and organization. On the meso-scale, tissue characteristics were explored and compared with histopathological methods, while microstructural changes were quantified by segmentation of cardiomyocytes and calculation of cross-sectional areas. Propagation based X-PCI provides detailed visualization and quantification of morphological changes on whole organ, tissue, vascular as well as individual cellular level of the ex vivo heart, with a single, non-destructive 3D imaging modality.

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Diagnostic Accuracy of Quantitative and Qualitative Phase-Contrast Imaging for the ex Vivo Characterization of Human Coronary Atherosclerotic Plaques

Radiology ◽

10.1148/radiol.2015141614 ◽

2015 ◽

Vol 277 (1) ◽

pp. 64-72 ◽

Cited By ~ 8

Author(s):

Sebastian Winklhofer ◽

Silvia Peter ◽

Verena Tischler ◽

Fabian Morsbach ◽

Moritz von Werdt ◽

...

Keyword(s):

Diagnostic Accuracy ◽

Phase Contrast ◽

Ex Vivo ◽

Phase Contrast Imaging ◽

Atherosclerotic Plaques ◽

Contrast Imaging ◽

Qualitative Phase

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Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2013.2266325 ◽

2013 ◽

Vol 60 (10) ◽

pp. 2896-2903 ◽

Cited By ~ 28

Author(s):

Mahesh B. Nagarajan ◽

Paola Coan ◽

Markus B. Huber ◽

Paul C. Diemoz ◽

Christian Glaser ◽

...

Keyword(s):

Phase Contrast ◽

Ex Vivo ◽

Phase Contrast Imaging ◽

Contrast Imaging ◽

Quantitative Characterization ◽

X Ray ◽

Patellar Cartilage ◽

X Ray Computed ◽

Aided Diagnosis

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Synchrotron- and laboratory-based X-ray phase-contrast imaging for imaging mouse articular cartilage in the absence of radiopaque contrast agents

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2013.0127 ◽

2014 ◽

Vol 372 (2010) ◽

pp. 20130127 ◽

Cited By ~ 21

Author(s):

Massimo Marenzana ◽

Charlotte K. Hagen ◽

Patricia Das Neves Borges ◽

Marco Endrizzi ◽

Magdalena B. Szafraniec ◽

...

Keyword(s):

Articular Cartilage ◽

Soft Tissue ◽

Phase Contrast ◽

Ex Vivo ◽

Phase Changes ◽

Phase Contrast Imaging ◽

Laboratory System ◽

Micro Ct ◽

Contrast Imaging ◽

X Ray

The mouse model of osteoarthritis (OA) has been recognized as the most promising research tool for the identification of new OA therapeutic targets. However, this model is currently limited by poor throughput, dependent on the extremely time-consuming histopathology assessment of the articular cartilage (AC). We have recently shown that AC in the rat tibia can be imaged both in air and in saline solution using a laboratory system based on coded-aperture X-ray phase-contrast imaging (CAXPCi). Here, we explore ways to extend the methodology for imaging the much thinner AC of the mouse, by means of gold-standard synchrotron-based phase-contrast methods. Specifically, we have used analyser-based phase-contrast micro-computed tomography (micro-CT) for its high sensitivity to faint phase changes, coupled with a high-resolution (4.5 μm pixel) detector. Healthy, diseased (four weeks post induction of OA) and artificially damaged mouse AC was imaged at the Elettra synchrotron in Trieste, Italy, using the above method. For validation, we used conventional micro-CT combined with radiopaque soft-tissue staining and standard histomorphometry. We show that mouse cartilage can be visualized correctly by means of the synchrotron method. This suggests that: (i) further developments of the laboratory-based CAXPCi system, especially in terms of pushing the resolution limits, might have the potential to resolve mouse AC ex vivo and (ii) additional improvements may lead to a new generation of CAXPCi micro-CT scanners which could be used for in vivo longitudinal pre-clinical imaging of soft tissue at resolutions impossible to achieve by current MRI technology.

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Myocardial Remodeling in Ischemic Heart Disease – Imaging from Cell to Organ Level by Synchrotron Propagation Based X-Ray Phase-Contrast Imaging

10.21203/rs.3.rs-156227/v1 ◽

2021 ◽

Author(s):

Ivo Planinc ◽

Patricia Garcia-Canadilla ◽

Hector Dejea ◽

Ivana Ilic ◽

Eduard Guasch ◽

...

Keyword(s):

Myocardial Infarction ◽

Phase Contrast ◽

Ex Vivo ◽

Imaging Modality ◽

Left Ventricular ◽

Phase Contrast Imaging ◽

Imaging Method ◽

Contrast Imaging ◽

X Ray ◽

Organ Level

Abstract Background: Cardiovascular research is in an ongoing quest for a superior imaging method to integrate gross-anatomical information with microanatomy, combined with quantifiable parameters of cardiac structure. In recent years, synchrotron radiation-based X-ray Phase Contrast Imaging (X-PCI) has been extensively used to characterize soft tissue in detail.The objective was to use X-PCI to comprehensively quantify ischemic remodeling of different myocardial structures, from cell to organ level, in a rat model of myocardial infarction.Methods and Results: Myocardial infarction-induced remodeling was recreated in a well-established rodent model. Ex vivo rodent hearts were imaged by propagation based X-PCI using two configurations resulting in 5.8µm and 0.65µm effective pixel size images. The acquired datasets were used for a comprehensive assessment of macrostructural changes including the whole heart and vascular tree morphology, and quantification of left ventricular myocardial thickness, mass, volume, and organization. On the meso-scale, tissue characteristics were explored and compared with histopathological methods, while microstructural changes were quantified by segmentation of cardiomyocytes and calculation of cross-sectional areas.Conclusions: Propagation based X-PCI provides detailed visualization and quantification of morphological changes on whole organ, tissue, vascular as well as individual cellular level of the ex vivo heart, with a single, non-destructive 3D imaging modality.

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Commentary: Is X-ray Phase Contrast Imaging an Anatomical Klondike for Surgeons?

Seminars in Thoracic and Cardiovascular Surgery ◽

10.1053/j.semtcvs.2020.04.011 ◽

2020 ◽

Vol 32 (4) ◽

pp. 969-970

Author(s):

Sergio A. Carrillo

Keyword(s):

Phase Contrast ◽

Phase Contrast Imaging ◽

Contrast Imaging ◽

X Ray

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Image Quality Analysis of X-ray Grating Interferometer Using Integrating-bucket Method

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2020.64.2.020503 ◽

2020 ◽

Vol 64 (2) ◽

pp. 20503-1-20503-5

Author(s):

Faiz Wali ◽

Shenghao Wang ◽

Ji Li ◽

Jianheng Huang ◽

Yaohu Lei ◽

...

Keyword(s):

Image Quality ◽

Phase Contrast ◽

Quality Analysis ◽

Phase Contrast Imaging ◽

Phase Image ◽

Contrast Imaging ◽

High Quality ◽

Image Quality Analysis ◽

X Ray ◽

Grating Interferometer

Abstract Grating-based x-ray phase-contrast imaging has the potential to enhance image quality and provide inner structure details non-destructively. In this work, using grating-based x-ray phase-contrast imaging system and employing integrating-bucket method, the quantitative expressions of signal-to-noise ratios due to photon statistics and mechanical error are analyzed in detail. Photon statistical noise and mechanical error are the main sources affecting the image noise in x-ray grating interferometry. Integrating-bucket method is a new phase extraction method translated to x-ray grating interferometry; hence, its image quality analysis would be of great importance to get high-quality phase image. The authors’ conclusions provide an alternate method to get high-quality refraction signal using grating interferometer, and hence increases applicability of grating interferometry in preclinical and clinical usage.

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