Prof. Jean-François Bernaudin Profile

Prof. Jean-François Bernaudin

at Univ Sorbonne Paris Nord

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Publications (3)

Proceedings Article | 3 April 2024 Presentation + Paper

Vessel-based lung lobe partitioning in ultra-short time echo proton MRI for regional ventilation assessment

Rezkellah-Noureddine Khiati, Antoine Didier, Nathalie Barrau, Aurélien Justet, Xavier Maître, Jean-François Bernaudin, Pierre-Yves Brillet, Ruxandra Tapu, Radu Ispas, Catalin Fetita

Proceedings Volume 12927, 1292708 (2024) https://doi.org/10.1117/12.3004462

KEYWORDS: Lung, Point clouds, Image segmentation, Education and training, Data modeling, Magnetic resonance imaging, Computed tomography, Performance modeling, Databases, Spirometry

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This paper addresses the problem of lung lobe partitioning in ultra-short time echo (UTE) MRI acquisitions, which are recently used for lung ventilation assessment with MRI spirometry. Because of the low image contrast, which does not enable the lung fissures display, the developed approach relies only on the vascular structures which still can be segmented from these images. The vascular network is segmented in lobes in order to generate reference clusters used for lung space partitioning. A point cloud representing the unstructured points of the vascular medial axis is partitioned in five lobes exploiting the PointNet++ framework. The PointNet++ model is trained on data extracted from CT acquisitions and labeled using the airway and vascular trees connectivity. The airway tree lobes will define the lung lobar regions, which are propagated on the vessel structure to achieve the complete vascular labeling. A separate model is trained for the right and left lungs in order to alleviate for limited input point cloud size imposed by the model architecture and reach a high precision in classification. The trained model is applied to UTE-MRI data to generate, for a given subject, a point cloud reference that will be used for vascular lobes clustering, which will be then exploited for lung space partitioning in lobes. The approach was quantitatively evaluated on 10 CT volumes from LUNA16 dataset and qualitatively tested on additional 25 CT and 15 UTE-MRI datasets. The analysis of CT data results shows pertinent lung partitioning with respect to the lung fissures, even if a precise fissure localization is not achieved. Such result is however expected, since no information related to the lung fissure is exploited in our method because this would not be applicable to UTE-MRI data. Nevertheless, the proposed partitioning respects the vascular lobes and, to the best of our knowledge, is novel for lung MRI sequences making it possible the regional investigation of ventilation parameters in MRI spirometry. The method can be further on extended for lung fissure matching in CT data by integrating new constraints related to fissure detection.

Proceedings Article | 7 April 2023 Presentation + Paper

Linking CT and SPECT based analysis for quantitative follow-up of vascular perfusion defects in COVID-19

Catalin Fetita, Antoine Didier, Jean Richeux, Christian Tulvan, Jean-François Bernaudin, Pierre-Yves Brillet, Aurélien Justet

Proceedings Volume 12465, 124650E (2023) https://doi.org/10.1117/12.2651945

KEYWORDS: Single photon emission computed tomography, Lung, COVID 19, Scintigraphy, Image segmentation, Computed tomography, Visualization, Data acquisition, Blood, Visual analytics

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Proceedings Article | 4 April 2022 Presentation + Paper

Multiparameter analysis of vascular remodeling in post-acute sequelae of COVID-19

Catalin Fetita, Mathilde Maury, Aurélien Justet, Juliette Dindart, Jean Richeux, Lucile Sese, Nicolas Aide, Thomas Gille, Hilario Nunes, Jean-François Bernaudin, Pierre-Yves Brillet

Proceedings Volume 12033, 120330A (2022) https://doi.org/10.1117/12.2611461

KEYWORDS: Composites, Signal attenuation, Glasses, Blood, Biological research, Opacity

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The COVID-19 infection, a current worldwide health concern, manifests as an alveolar-interstitial pneumonia with unknown long-term evolution. It is also associated with vascular dysfunction and shows a vascular remodeling with a changed balance between small- and large-caliber vessels. In this study, we question the existence of residual vascular alteration in post-acute sequelae of COVID-19 (PASC) by investigating possible associations between vascular remodeling biomarkers extracted from CT and functional, radiological and morphological parameters. The used vascular biomarkers concern the blood volume ratio of vessels with cross-section area inferior to 5 mm2 versus vessels of crosssection area inferior to 50 mm2 (BV5/BV50), an index of local peripheral vascular density and a peripheral composite vascular remodeling index, both measured in the antero-postero-lateral lung periphery (excluding mediastinal region). As a functional parameter, diffusing capacity of the lung for carbon monoxide (DLCO) is a measure depending on the vascular perfusion and the amount of interstitial thickening, a decreased DLCO value suggesting altered vascular perfusion. Imaging biomarkers can be extracted from the analysis of perfusion lung scintigraphy or CT scan. Some of them are included in our study. Radiological features include CT attenuation as a measure of persistence of ground glass opacity and development of changes suggestive to look for fibrosis, such as reticulations. As additional morphological parameter, lung deformation observed between inspiration/expiration maneuvers may be suggestive of the presence of reticulations inducing lung stiffness and breathing deficiency. The investigation of associations between vascular remodeling biomarkers obtained from CT and the above functional, radiological and morphological parameters revealed moderate to strong correlations highlighting the ability to capture the persistence of vascular alterations in PASC in relation with the development of fibrotic patterns, which is a promising direction for future research.

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