1
|
Chourrout M, Rositi H, Ong E, Hubert V, Paccalet A, Foucault L, Autret A, Fayard B, Olivier C, Bolbos R, Peyrin F, Crola-da-Silva C, Meyronet D, Raineteau O, Elleaume H, Brun E, Chauveau F, Wiart M. Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models. BIOMEDICAL OPTICS EXPRESS 2022; 13:1620-1639. [PMID: 35415001 PMCID: PMC8973191 DOI: 10.1364/boe.438832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/08/2021] [Accepted: 11/02/2021] [Indexed: 06/14/2023]
Abstract
White-matter injury leads to severe functional loss in many neurological diseases. Myelin staining on histological samples is the most common technique to investigate white-matter fibers. However, tissue processing and sectioning may affect the reliability of 3D volumetric assessments. The purpose of this study was to propose an approach that enables myelin fibers to be mapped in the whole rodent brain with microscopic resolution and without the need for strenuous staining. With this aim, we coupled in-line (propagation-based) X-ray phase-contrast tomography (XPCT) to ethanol-induced brain sample dehydration. We here provide the proof-of-concept that this approach enhances myelinated axons in rodent and human brain tissue. In addition, we demonstrated that white-matter injuries could be detected and quantified with this approach, using three animal models: ischemic stroke, premature birth and multiple sclerosis. Furthermore, in analogy to diffusion tensor imaging (DTI), we retrieved fiber directions and DTI-like diffusion metrics from our XPCT data to quantitatively characterize white-matter microstructure. Finally, we showed that this non-destructive approach was compatible with subsequent complementary brain sample analysis by conventional histology. In-line XPCT might thus become a novel gold-standard for investigating white-matter injury in the intact brain. This is Part I of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part II shows how in-line XPCT enables the whole-brain 3D morphometric analysis of amyloid- β (A β ) plaques.
Collapse
Affiliation(s)
- Matthieu Chourrout
- Univ-Lyon, Lyon Neuroscience
Research Center, CNRS UMR5292, Inserm U1028,
Université Claude Bernard Lyon 1, Lyon, France
- Co-first authors
| | - Hugo Rositi
- Univ-Clermont Auvergne; CNRS;
SIGMA Clermont; Institut Pascal,
Clermont-Ferrand, France
- Co-first authors
| | - Elodie Ong
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
- Univ-Lyon, Hospices Civils de
Lyon, Lyon, France
| | - Violaine Hubert
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
| | - Alexandre Paccalet
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
| | - Louis Foucault
- Univ-Lyon, Université
Claude Bernard Lyon 1, Inserm, Stem Cell and Brain
Research Institute U1208, 69500 Bron, France
| | | | | | - Cécile Olivier
- Univ-Lyon, INSA-Lyon,
Université Claude Bernard Lyon 1,
CNRS, Inserm, CREATIS UMR5220, U1206, F-69621, France
| | | | - Françoise Peyrin
- Univ-Lyon, INSA-Lyon,
Université Claude Bernard Lyon 1,
CNRS, Inserm, CREATIS UMR5220, U1206, F-69621, France
| | - Claire Crola-da-Silva
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
| | | | - Olivier Raineteau
- Univ-Lyon, Université
Claude Bernard Lyon 1, Inserm, Stem Cell and Brain
Research Institute U1208, 69500 Bron, France
| | - Héléne Elleaume
- Université Grenoble
Alpes, Inserm UA7 Strobe, Grenoble, France
| | - Emmanuel Brun
- Université Grenoble
Alpes, Inserm UA7 Strobe, Grenoble, France
| | - Fabien Chauveau
- Univ-Lyon, Lyon Neuroscience
Research Center, CNRS UMR5292, Inserm U1028,
Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Lyon,
France
- Co-last authors
| | - Marlene Wiart
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
- CNRS, Lyon,
France
- Co-last authors
| |
Collapse
|
2
|
New imaging tools for mouse models of osteoarthritis. GeroScience 2022; 44:639-650. [PMID: 35129777 DOI: 10.1007/s11357-022-00525-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/27/2022] [Indexed: 12/25/2022] Open
Abstract
Osteoarthritis (OA) is a chronic degenerative disease characterized by a disruption of articular joint cartilage homeostasis. Mice are the most commonly used models to study OA. Despite recent reviews, there is still a lack of knowledge about the new development in imaging techniques. Two types of modalities are complementary: those that assess structural changes in joint tissues and those that assess metabolism and disease activity. Micro MRI is the most important imaging tool for OA research. Automated methodologies for assessing periarticular bone morphology with micro-CT have been developed allowing quantitative assessment of tibial surface that may be representative of the whole OA joint changes. Phase-contrast X-ray imaging provides in a single examination a high image precision with good differentiation between all anatomical elements of the knee joint (soft tissue and bone). Positron emission tomography, photoacoustic imaging, and fluorescence reflectance imaging provide molecular and functional data. To conclude, innovative imaging technologies could be an alternative to conventional histology with greater resolution and more efficiency in both morphological analysis and metabolism follow-up. There is a logic of permanent adjustment between innovations, 3R rule, and scientific perspectives. New imaging associated with artificial intelligence may add to human clinical practice allowing not only diagnosis but also prediction of disease progression to personalized medicine.
Collapse
|
3
|
Yin M, Yuan M, Deng K, Li J, Zhang G, Zhu J, Xie W, Wu J. Subcutaneous Low-Density Foreign Bodies Detection via Grating-Based Multimodal X-ray Imaging. J Digit Imaging 2022; 35:365-373. [PMID: 35064371 PMCID: PMC8921381 DOI: 10.1007/s10278-021-00569-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/10/2021] [Accepted: 12/08/2021] [Indexed: 11/28/2022] Open
Abstract
Detecting low-density foreign bodies within soft tissues still stands for a serious challenge. Grating-based multimodal X-ray imaging typically has low hardware requirements while simultaneously providing three kinds of imaging information, i.e., absorption, phase-contrast, and dark-field. We aimed to explore the capacity of grating-based multimodal X-ray imaging technology for detecting common foreign bodies within subcutaneous tissues, and to assess the advantages as well as disadvantages of the three kinds of images obtained via grating-based X-ray multimodal technology in relation to diverse kinds of foreign bodies within different tissues. In this study, metal, glass, wood, plastic, graphite, and ceramic foreign bodies were injected into chunks of the pig adipose tissue and chicken thigh muscles. Next, a grating-based multimodal X-ray imaging device developed in our laboratory was used to detect the above foreign bodies within the adipose and muscle tissues. Our results show that grating-based multimodal X-ray imaging clearly revealed the subcutaneous foreign bodies within the adipose and muscle tissues by acquiring complementary absorption, phase-contrast, and dark-field imaging data in a single shot. Grating-based multimodal X-ray imaging has an exciting potential to detect foreign bodies underneath the epidermis.
Collapse
Affiliation(s)
- Meifang Yin
- Department of Burn and Plastic Surgery, Department of Wound Repair, Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Second People's Hospital, ShenzhenShenzhen, 518035, China
| | - Mingzhou Yuan
- Department of Burn Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Kai Deng
- Institute of Fluid Physics, Chinese Academy of Engineering Physics, Mianyang, 621999, China
| | - Jing Li
- Institute of Fluid Physics, Chinese Academy of Engineering Physics, Mianyang, 621999, China
| | - Guangya Zhang
- Institute of Fluid Physics, Chinese Academy of Engineering Physics, Mianyang, 621999, China
| | - Jiayuan Zhu
- Department of Burn Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Weiping Xie
- Institute of Fluid Physics, Chinese Academy of Engineering Physics, Mianyang, 621999, China.
| | - Jun Wu
- Department of Burn and Plastic Surgery, Department of Wound Repair, Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Second People's Hospital, ShenzhenShenzhen, 518035, China.
| |
Collapse
|
5
|
Quénot L, Brun E, Létang JM, Langer M. Evaluation of simulators for x-ray speckle-based phase contrast imaging. Phys Med Biol 2021; 66. [PMID: 34412046 DOI: 10.1088/1361-6560/ac1f38] [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: 05/04/2021] [Accepted: 08/19/2021] [Indexed: 11/12/2022]
Abstract
X-ray phase contrast imaging (PCI) denotes a group of highly sensitive imaging techniques that permits imaging at scales ranging from nanoscopic to the medical. Recently introduced, speckle-based imaging has seen a rapid development because of its experimental simplicity and its capability to retrieve the refraction, the scattering and the absorption of a sample using a conventional x-ray set-up. Precise simulation would permit to optimise the imaging setups for different applications, but until now works on simulation of x-ray speckle-based PCI have been very few. In this work we evaluate different simulation codes, based on Monte-Carlo, analytical ray-tracing and wave-optics Fresnel propagation. The simulation results are compared to both synchrotron and conventional imaging experiments to permits their validation. We obtain a strong similarity between simulated and experimental data. We discuss the validity and applicability of each approach.
Collapse
Affiliation(s)
- L Quénot
- Inserm UA7 Strobe, Université Grenoble Alpes, Grenoble, France
| | - E Brun
- Inserm UA7 Strobe, Université Grenoble Alpes, Grenoble, France
| | - J M Létang
- Univ Lyon, INSA Lyon, Université Claude Bernard Lyon 1, UJM-Saint Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69373, Lyon, France
| | - M Langer
- Univ Lyon, INSA Lyon, Université Claude Bernard Lyon 1, UJM-Saint Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69373, Lyon, France.,Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000 Grenoble, France
| |
Collapse
|
6
|
Solé Cruz E, Mercier A, Suuronen JP, Chaffanjon P, Brun E, Bellier A. Synchrotron phase-contrast imaging applied to the anatomical study of the hand and its vascularization. J Anat 2021; 239:536-543. [PMID: 33686643 PMCID: PMC8273599 DOI: 10.1111/joa.13427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 10/05/2020] [Accepted: 02/24/2021] [Indexed: 11/27/2022] Open
Abstract
Microscopic anatomical study of the hand requires difficult or destructive dissection techniques for each anatomical structure. Synchrotron phase-contrast imaging (sPCI) allows us to study precisely, at a microscopic resolution and in a nondestructive approach, the soft tissues and bone structures within a single 3D image. Therefore, we aimed to assess the capacity of sPCI to study the arterial anatomy of the hand and digits in human cadavers for anatomical purposes. A non-injected hand from an embalmed body was imaged using sPCI at 21-µm pixel size. The vascularization and innervation of the hands were virtually reconstructed at 84-µm resolution, and the medial neurovascular bundle of the third digit at 21 µm. The thinner-most distal structures were observed and reported. The diameter and thickness of the vascular and neural structures were defined on 2D computed tomographic axial projections, and using a granulometry method coupled to the 3D reconstructions. The vascularization of the hand was visible from the radial and ulnar arteries to the distal digital transverse anastomoses. The thinnest structure observed was the anastomotic arterial network around the proper palmar digital nerve. The latter emerged from the proper palmar digital artery and vascularized the nerve around its whole length and circumference. The perineural arterioles individualizable at this resolution had a diameter of 66-309 µm. In conclusion, sPCI allows both the arterial and neural anatomy of the hand to be studied at the same time, as well as the anatomical interactions between both networks. It facilitates the study of structures that have different sizes, diameters, thickness, and histological origin with great precision, in a noninvasive way, and using a single technique.
Collapse
Affiliation(s)
- Eva Solé Cruz
- French Alpes Laboratory of Anatomy, Grenoble Alpes University, Grenoble, France.,Inserm UA7 Strobe, Grenoble Alpes University, Grenoble, France.,ID17 Biomedical Beamline, European Synchrotron Radiation Facility, Grenoble, France
| | - Alexis Mercier
- French Alpes Laboratory of Anatomy, Grenoble Alpes University, Grenoble, France
| | - Jussi-Petteri Suuronen
- Inserm UA7 Strobe, Grenoble Alpes University, Grenoble, France.,ID17 Biomedical Beamline, European Synchrotron Radiation Facility, Grenoble, France
| | - Philippe Chaffanjon
- French Alpes Laboratory of Anatomy, Grenoble Alpes University, Grenoble, France
| | - Emmanuel Brun
- Inserm UA7 Strobe, Grenoble Alpes University, Grenoble, France
| | - Alexandre Bellier
- French Alpes Laboratory of Anatomy, Grenoble Alpes University, Grenoble, France.,Computational Biology and Mathematics, TIMC Laboratory, UMR 5525 CNRS, Grenoble, France
| |
Collapse
|