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Berruyer, C.

Publications and source records attributed to Berruyer, C..

3 recordsLinked to original sources

Evolution of Hierarchical Phase-Contrast Tomography on the European Synchrotron beamlines BM05 and BM18: a whole adult human brain imaging case study

Hierarchical Phase-Contrast Tomography (HiP-CT) was recently developed to enable the ex-vivo imaging of human organs at multiple scales from whole organ down to cellular level. Using whole adult human brain imaging as a case study, this manuscript shows the evolution of this technique from its initial development at the BM05 beamline to its transition and current status at BM18. Thanks to the higher coherence, larger beam size, higher energies and larger propagation distances available at BM18 and due to the European Synchrotrons Extremely Brilliant Source upgrade (ESRF-EBS), this transition resulted in significantly improved data quality, resolution, sensitivity and speed. More recently, the implementation of a new generation of larger sCMOS cameras, helical scanning (including dedicated reconstruction algorithm developments), binning at the chip and projections levels, and the design of high-efficiency optics allowed to progressively improve the trade-off between dose and image quality, while simultaneously reducing scanning times. All these acquisition schemes present the current status of full organ imaging using HiP-CT and represent the constant efforts for the improvement of the technique towards the investigation of human organs in health, disease and aging. SynopsisThis manuscript shows the evolution of Hierarchical Phase-Contrast Tomography (HiP-CT) from its origins at the BM05 beamline to its transition to BM18 (ESRF-EBS). The novel hardware and scanning approach developments resulted in significantly improved data quality, resolution, sensitivity and speed. The case of whole adult brain imaging is presented to demonstrate the current possibilities of full organ imaging with local micron resolution using HiP-CT.

neuroscience↗

The Human Organ Atlas

We present the Human Organ Atlas (HOA), an open data repository making accessible multiscale 3D imaging of human organs. The repository also provides software tools and training resources enabling worldwide access, sharing, and analysis of these datasets, facilitating further research and the continued expansion of the HOA. The images are generated using a synchrotron imaging technique - Hierarchical Phase-Contrast Tomography (HiP-CT) that uses the ESRFs Extremely Brilliant Source, spanning whole organ imaging at around 20 m/voxel with local volumes of interest within the intact organs imaged down to [~] 1 m/voxel. This offers a comprehensive exploration of human anatomy, providing unparalleled insights into intricate structures and spatial relationships. The Human Organ Atlas offers researchers, clinicians, and educators a valuable resource for anatomical study, image analysis, medical education, and large-scale data mining.

bioinformatics↗

Multidimensional Analysis of the Adult Human Heart in Health and Disease using Hierarchical Phase-Contrast Tomography (HiP-CT)

Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Current clinical imaging modalities provide resolution adequate for diagnosis but are unable to provide detail of structural changes in the heart, across length-scales, necessary for understanding underlying pathophysiology of disease. Hierarchical Phase-Contrast Tomography (HiP-CT), using new (4th) generation synchrotron sources, potentially overcomes this limitation, allowing micron resolution imaging of intact adult organs with unprecedented detail. In this proof of principle study (n=2), we show the utility of HiP-CT to image whole adult human hearts ex-vivo: one control without known cardiac disease and one with multiple known cardiopulmonary pathologies. The resulting multiscale imaging was able to demonstrate exemplars of anatomy in each cardiac segment along with novel findings in the cardiac conduction system, from gross (20 um/voxel) to cellular scale (2.2 um/voxel), non-destructively, thereby bridging the gap between macroscopic and microscopic investigations. We propose that the technique represents a significant step in virtual autopsy methods for studying structural heart disease, facilitating research into abnormalities across scales and age-groups. It opens up possibilities for understanding and treating disease; and provides a cardiac blueprint with potential for in-silico simulation, device design, virtual surgical training, and bioengineered heart in the future.

pathology↗