Prof. Catalin Fetita Profile

Prof. Catalin Fetita

Professor at Télécom SudParis

SPIE Involvement:

Conference Program Committee | Author

Publications (44)

Proceedings Article | 3 April 2024 Presentation + Paper

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

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

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.

Proceedings Article | 15 February 2021 Presentation + Paper

Presentation + Paper

Traction bronchiectasis identification and quantitative biomarkers for follow-up in nonspecific interstitial pneumonia

Marjorie Latrasse, Simon Rennotte, Pierre-Yves Brillet, Sylvain Marchand-Adam, Catalin Fetita

Proceedings Volume 11597, 115970T (2021) https://doi.org/10.1117/12.2580657

KEYWORDS: Lung, Pulmonary function tests, Inflammation, Databases, Convolutional neural networks

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Proceedings Article | 15 February 2021 Presentation + Paper

Presentation + Paper

Transferring CT image biomarkers from fibrosing idiopathic interstitial pneumonia to COVID-19 analysis

Catalin Fetita, Simon Rennotte, Marjorie Latrasse, Ruxandra Tapu, Mathilde Maury, Bogdan Mocanu, Hilario Nunes, Pierre-Yves Brillet

Proceedings Volume 11597, 1159708 (2021) https://doi.org/10.1117/12.2580658

KEYWORDS: Computed tomography, Lung, Biological research, Image analysis, Pathology, Opacity, Image registration, Image classification, Glasses

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Proceedings Article | 16 March 2020 Presentation + Paper

Presentation + Paper

Comparison of CNN architectures and training strategies for quantitative analysis of idiopathic interstitial pneumonia

Simon Rennotte, Pierre-Yves Brillet, Catalin Fetita

Proceedings Volume 11314, 113140B (2020) https://doi.org/10.1117/12.2548476

KEYWORDS: Emphysema, Lung, Databases, Network architectures, Image segmentation, Quantitative analysis, Neural networks, Convolutional neural networks, Visualization, 3D visualizations

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Proceedings Article | 13 March 2019 Presentation + Paper

Presentation + Paper

Image biomarkers for quantitative analysis of idiopathic interstitial pneumonia

Young-Wouk Kim, Sebastián Roberto Tarando, Pierre-Yves Brillet, Catalin Fetita

Proceedings Volume 10950, 1095019 (2019) https://doi.org/10.1117/12.2511847

KEYWORDS: Lung, Image classification, Emphysema, Databases, Quantitative analysis, Computed tomography, Pulmonary function tests, Image segmentation

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Proceedings Article | 13 March 2019 Presentation + Paper

Presentation + Paper

Efficient detection of vascular structures using locally connected filtering

Amele Florence Kouvahe, Catalin Fetita

Proceedings Volume 10950, 109501P (2019) https://doi.org/10.1117/12.2511962

KEYWORDS: Image segmentation, Image filtering, Liver, Lung, Digital filtering, Databases, 3D image processing, Computed tomography, Binary data, Linear filtering

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Proceedings Article | 27 February 2018 Paper

Paper

Boosting CNN performance for lung texture classification using connected filtering

Sebastián Roberto Tarando, Catalin Fetita, Young-Wouk Kim, Hyoun Cho, Pierre-Yves Brillet

Proceedings Volume 10575, 1057505 (2018) https://doi.org/10.1117/12.2293093

KEYWORDS: Lung, Image filtering, Glasses, Image classification, Emphysema, Computed tomography, Image processing

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Proceedings Article | 3 March 2017 Presentation + Paper

Presentation + Paper

Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping

Sebastian Roberto Tarando, Catalin Fetita, Pierre-Yves Brillet

Proceedings Volume 10134, 1013407 (2017) https://doi.org/10.1117/12.2255552

KEYWORDS: Convolutional neural networks, Lung, Image classification, Pathology, Computed tomography, Neural networks, Emphysema, CAD systems, Databases, Machine learning, Classification systems

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Proceedings Article | 3 March 2017 Presentation + Paper

Presentation + Paper

Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasia

Catalin Fetita, Thierry Fortemps de Loneux, Amélé Florence Kouvahe, Mostafa El Hajjam

Proceedings Volume 10134, 1013419 (2017) https://doi.org/10.1117/12.2254754

KEYWORDS: Mathematical modeling, Skin, Capillaries, Image segmentation, Glasses, Scanners, Databases

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Hereditary hemorrhagic telangiectasia (HHT) is an autosomic dominant disorder, which is characterized by the development of multiple arterio-venous malformations in the skin, mucous membranes, and/or visceral organs. Pulmonary Arterio-Venous Malformation (PAVM) is an abnormal connection where feeding arteries shunt directly into draining veins with no intervening capillary bed. This condition may lead to paradoxical embolism and hemorrhagic complications. PAVMs patients should systematically be screened as the spontaneous complication rate is high, reaching almost 50%. Chest enhanced contrast CT scanner is the reference screening and follow-up examination. When performed by experienced operators as the prime treatment, percutaneous embolization of PAVMs is a safe, efficient and sustained therapy. The accuracy of PAVM detection and quantification of its progression over time is the key of embolotherapy success. In this paper, we propose an automatic method for PAVM detection and quantification relying on a modeling of vessel deformation, i.e. local caliber increase, based on mathematical morphology. The pulmonary field and vessels are first segmented using geodesic operators. The vessel caliber is estimated by means of a granulometric measure and the local caliber increase is detected by using a geodesic operator, the h-maxdomes. The detection sensitivity can be tuned up according to the choice of the h value which models the irregularity of the vessel caliber along its axis and the PAVM selection is performed according to a clinical criterion of >3 mm diameter of the feeding artery of the PAVM. The developed method was tested on a 20 patient dataset. A sensitivity study allowed choosing the irregularity parameter to maximize the true positive ratio reaching 85.4% in average. A specific false positive reduction procedure targeting the vessel trunks of the arterio-venous tree near mediastinum allows a precision increase from 13% to 67% with an average number of 1.15 false positives per scan.

Proceedings Article | 29 March 2016 Paper

Paper

Robust lung identification in MSCT via controlled flooding and shape constraints: dealing with anatomical and pathological specificity

Catalin Fetita, Sebastian Tarando, Pierre-Yves Brillet, Philippe Grenier

Proceedings Volume 9788, 97881A (2016) https://doi.org/10.1117/12.2216687

KEYWORDS: Lung, Shape analysis, Mathematical morphology, Image segmentation, Pathology, Tissues, Lung imaging, Neodymium, Spherical lenses, Ions, 3D image processing

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Proceedings Article | 29 March 2016 Paper

Paper

Patient-specific simulation of tidal breathing

M. Walters, A. Wells, I. Jones, I. Hamill, B. Veeckmans, W. Vos, C. Lefevre, C. Fetitia

Proceedings Volume 9788, 978818 (2016) https://doi.org/10.1117/12.2216807

KEYWORDS: Lung, Computer simulations, Resistance, Computed tomography, 3D image processing, Computational fluid dynamics, Image segmentation, 3D modeling, Motion models, Video, Motion analysis

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Proceedings Article | 24 March 2016 Paper

Paper

Intrapulmonary vascular remodeling: MSCT-based evaluation in COPD and alpha-1 antitrypsin deficient subjects

Adeline Crosnier, Catalin Fetita, Gabriel Thabut, Pierre-Yves Brillet

Proceedings Volume 9785, 978516 (2016) https://doi.org/10.1117/12.2216522

KEYWORDS: Chronic obstructive pulmonary disease, Lung, Image segmentation, Emphysema, Statistical analysis, Feature extraction, Image resolution, Genetics, Blood vessels

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Proceedings Article | 24 March 2016 Paper

Paper

Increasing CAD system efficacy for lung texture analysis using a convolutional network

Sebastian Roberto Tarando, Catalin Fetita, Alex Faccinetto, Pierre-Yves Brillet

Proceedings Volume 9785, 97850Q (2016) https://doi.org/10.1117/12.2217752

KEYWORDS: Image filtering, Lung, CAD systems, Classification systems, Image classification, Morphological analysis, Pathology, Computed tomography, Network security, Glasses, Emphysema, Databases

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Proceedings Article | 18 March 2015 Paper

Paper

Grading remodeling severity in asthma based on airway wall thickening index and bronchoarterial ratio measured with MSCT

Catalin Fetita, Pierre-Yves Brillet, Christopher Brightling, Philippe Grenier

Proceedings Volume 9415, 941515 (2015) https://doi.org/10.1117/12.2081589

KEYWORDS: 3D image processing, Computed tomography, 3D acquisition, Tissues, Lung, Arteries, Neodymium, 3D metrology, Pathology, Databases

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Proceedings Article | 17 March 2015 Paper

Paper

On-line scalable image access for medical remote collaborative meetings

Sebastian Tarando, Olivier Lucidarme, Philippe Grenier, Catalin Fetita

Proceedings Volume 9418, 94180C (2015) https://doi.org/10.1117/12.2081926

KEYWORDS: Image compression, Image quality, Medical imaging, JPEG2000, Image segmentation, Computer programming, Image transmission, Visualization, Computed tomography, Image resolution

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Proceedings Article | 18 March 2014 Paper

Paper

3D mapping of airway wall thickening in asthma with MSCT: a level set approach

Catalin Fetita, Pierre-Yves Brillet, Ruth Hartley, Philippe Grenier, Christopher Brightling

Proceedings Volume 9035, 90352I (2014) https://doi.org/10.1117/12.2042997

KEYWORDS: Image segmentation, Tissues, Computed tomography, Databases, Lung, Visualization, Chronic obstructive pulmonary disease, Lung imaging, Medical imaging, 3D acquisition

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Proceedings Article | 18 March 2013 Paper

Paper

Semi-quantitative assessment of pulmonary perfusion in children using dynamic contrast-enhanced MRI

Catalin Fetita, William Thong, Phalla Ou

Proceedings Volume 8670, 867033 (2013) https://doi.org/10.1117/12.2007920

KEYWORDS: Lung, Arteries, Magnetic resonance imaging, Image segmentation, Blood, Deconvolution, Scintigraphy, Image filtering, Ions, Data acquisition

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Proceedings Article | 16 April 2012 Paper

Paper

A new approach for real-time analysis of biomolecular interactions using surface plasmon resonance imaging SPRi

H. Mezlini, C. Fetita, M. Canva, J. Moreau, H. Ghalila, S. Ghalila

Proceedings Volume 8317, 831725 (2012) https://doi.org/10.1117/12.911410

KEYWORDS: Calibration, Image segmentation, Biological research, Image analysis, Image processing, Data acquisition, Reflectivity, Genetics, Binary data, Signal detection

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Proceedings Article | 14 April 2012 Paper

Paper

An automated approach for single-cell tracking in epifluorescence microscopy applied to E. coli growth analysis on microfluidics biochips

Catalin Fetita, Boris Kirov, Alfonso Jaramillo, Christophe Lefevre

Proceedings Volume 8317, 83170Z (2012) https://doi.org/10.1117/12.911371

KEYWORDS: Image segmentation, Microscopy, Luminescence, Microfluidics, Genetics, Biological research, Image filtering, Organisms, Image processing, Oscillators

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Proceedings Article | 23 February 2012 Paper

Paper

Idiopathic interstitial pneumonias and emphysema: detection and classification using a texture-discriminative approach

C Fetita, K. Chang-Chien, P. Brillet, F. Prêteux, R. Chang

Proceedings Volume 8315, 83152Z (2012) https://doi.org/10.1117/12.911350

KEYWORDS: Lung, Image classification, Emphysema, Tissues, CAD systems, Classification systems, Computed tomography, Computer aided diagnosis and therapy, Fuzzy logic, Pathology

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Proceedings Article | 9 March 2011 Paper

Paper

A unified approach for high throughput analysis of real-time biomolecular interactions in surface plasmon resonance and fluorescence imaging

Catalin Fetita, Nicolas François, Françoise Prêteux, Hervé Delacroix

Proceedings Volume 7965, 79651A (2011) https://doi.org/10.1117/12.877597

KEYWORDS: Biosensors, Signal detection, Biological research, Interference (communication), Image analysis, Optoelectronics, Surface plasmons, Target detection, Computer simulations, Transducers

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Proceedings Article | 9 March 2011 Paper

Paper

High-throughput morphometric analysis of pulmonary airways in MSCT via a mixed 3D/2D approach

Margarete Ortner, Catalin Fetita, Pierre-Yves Brillet, Françoise Prêteux, Philippe Grenier

Proceedings Volume 7963, 79631R (2011) https://doi.org/10.1117/12.877519

KEYWORDS: Image segmentation, Visualization, 3D metrology, Control systems, Computed tomography, Visual analytics, Chronic obstructive pulmonary disease, Quantitative analysis, Picosecond phenomena, Physiology

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Proceedings Article | 2 March 2011 Paper

Paper

Surface modeling and segmentation of the 3D airway wall in MSCT

Margarete Ortner, Catalin Fetita, Pierre-Yves Brillet, Françoise Prêteux, Philippe Grenier

Proceedings Volume 7964, 79640O (2011) https://doi.org/10.1117/12.877521

KEYWORDS: Image segmentation, 3D modeling, Data modeling, Computed tomography, Visualization, Chronic obstructive pulmonary disease, 3D image processing, Diffusion, Pathology, 3D metrology

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Proceedings Article | 24 February 2010 Paper

Paper

Ground truth and CT image model simulation for pathophysiological human airway system

Margarete Ortner, Catalin Fetita, Pierre-Yves Brillet, Françoise Prêteux, Philippe Grenier

Proceedings Volume 7625, 76252K (2010) https://doi.org/10.1117/12.844343

KEYWORDS: 3D modeling, Solid modeling, Image segmentation, Systems modeling, 3D image processing, Data modeling, Computed tomography, 3D acquisition, Image processing, Process modeling

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Proceedings Article | 24 February 2010 Paper

Paper

Airway shape assessment with visual feed-back in asthma and obstructive diseases

Catalin Fetita, Margarete Ortner, Pierre-Yves Brillet, Yahya Ould Hmeidi, Françoise Prêteux

Proceedings Volume 7625, 76251E (2010) https://doi.org/10.1117/12.844445

KEYWORDS: Visualization, Image segmentation, Optical spheres, Volume rendering, Lung, Chronic obstructive pulmonary disease, Chromium, Biopsy, 3D image processing, Computed tomography

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Proceedings Article | 27 March 2009 Paper

Paper

Morpho-geometrical approach for 3D segmentation of pulmonary vascular tree in multi-slice CT

Catalin Fetita, Pierre-Yves Brillet, Françoise Prêteux

Proceedings Volume 7259, 72594F (2009) https://doi.org/10.1117/12.811637

KEYWORDS: Lung, Image segmentation, Volume rendering, Visualization, Image filtering, Blood vessels, Pathology, Mathematical morphology, Signal attenuation, Tissues

Read Abstract +

The analysis of pulmonary vessels provides better insights into the lung physio-pathology and offers the basis for a functional investigation of the respiratory system. In order to be performed in clinical routine, such analysis has to be compatible with the general protocol for thorax imaging based on multi-slice CT (MSCT), which does not involve the use of contrast agent for vessels enhancement. Despite the fact that a visual assessment of the pulmonary vascular tree is facilitated by the natural contrast existing between vessels and lung parenchyma, a quantitative analysis becomes quickly tedious due to the high spatial density and subdivision complexity of these anatomical structures. In this paper, we develop an automated 3D approach for the segmentation of the pulmonary vessels in MSCT allowing further quantification facilities for the lung function. The proposed approach combines mathematical morphology and discrete geometry operators in order to reach distal small caliber blood vessels and to preserve the border with the wall of the bronchial tree which features identical intensity values. In this respect, the pulmonary field is first roughly segmented using thresholding, and the trachea and the main bronchi removed. The lung shape is then regularized by morphological alternate filtering and the high opacities (vessels, bronchi, and other eventual pathologic features) selected. After the attenuation of the bronchus wall for large and medium airways, the set of vessel candidates are obtained by morphological grayscale reconstruction and binarization. The residual bronchus wall components are then removed by means of a geometrical shape filtering which includes skeletonization and cylindrical shape estimation. The morphology of the reconstructed pulmonary vessels can be visually investigated with volume rendering, by associating a specific color code with the local vessel caliber. The complement set of the vascular tree among the high intensity structures in the lung may also inform on lung pathological conditions (inflammation, interstitial disease, nodular patterns,...). The results obtained on normal and pathological subjects or in inspiration vs. expiration, are presented and discussed.

Proceedings Article | 28 February 2009 Paper

Paper

Detection and classification of interstitial lung diseases and emphysema using a joint morphological-fuzzy approach

Kuang-Che Chang Chien, Catalin Fetita, Pierre-Yves Brillet, Françoise Prêteux, Ruey-Feng Chang

Proceedings Volume 7260, 726031 (2009) https://doi.org/10.1117/12.811730

KEYWORDS: Lung, Emphysema, Fuzzy logic, Tissues, Pathology, Image classification, Glasses, Computed tomography, Image filtering, 3D image processing

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Proceedings Article | 17 March 2008 Paper

Paper

3D bronchial simulator: automatic generation of volumetric CT images for assessment of bronchial parameter quantification methods

Amaury Saragaglia, Catalin Fetita, Françoise Prêteux, Philippe Grenier

Proceedings Volume 6918, 69180Y (2008) https://doi.org/10.1117/12.768816

KEYWORDS: 3D modeling, 3D image processing, Image segmentation, Data modeling, Computed tomography, Blood vessels, Image processing, Lung, Scanners, Image acquisition

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Proceedings Article | 8 October 2007 Paper

Paper

Real-time analysis of biomolecular interactions in surface plasmon resonance imaging

Nicolas François, Catalin Fetita, Hervé Delacroix, Françoise Prêteux

Proceedings Volume 6700, 67000F (2007) https://doi.org/10.1117/12.734369

KEYWORDS: Biological research, Proteins, Image segmentation, Molecules, Biosensors, Surface plasmons, Molecular interactions, Tumors, Prisms, Curium

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Proceedings Article | 17 September 2007 Paper

Paper

Automated diagnosis of interstitial lung diseases and emphysema in MDCT imaging

Catalin Fetita, Kuang-Che Chang Chien, Pierre-Yves Brillet, Françoise Prêteux

Proceedings Volume 6700, 67000G (2007) https://doi.org/10.1117/12.734147

KEYWORDS: Lung, Tissues, Emphysema, Image filtering, Glasses, Microelectromechanical systems, Image classification, Image segmentation, Pathology, 3D image processing

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Proceedings Article | 29 March 2007 Paper

Paper

Airway wall thickness assessment: a new functionality in virtual bronchoscopy investigation

A. Saragaglia, C. Fetita, P. Y. Brillet, F. Prêteux, P. A. Grenier

Proceedings Volume 6511, 65110P (2007) https://doi.org/10.1117/12.709532

KEYWORDS: 3D modeling, Bronchoscopy, Image segmentation, Visualization, 3D image processing, Data modeling, Lung cancer, Image filtering, Computed tomography, Lung

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Proceedings Article | 25 August 2006 Paper

Paper

Automated volumetric approach for quantifying bronchial wall remodeling in MDCT

A. Saragaglia, C. Fetita, F. Prêteux, P. Grenier

Proceedings Volume 6315, 63150M (2006) https://doi.org/10.1117/12.680710

KEYWORDS: 3D modeling, Data modeling, Image segmentation, Computed tomography, 3D image processing, Lung, Statistical analysis, Image filtering, Error analysis, 3D acquisition

Read Abstract +

Follow-up studies of bronchial wall remodeling in asthmatics based on multi-detector computed tomography (MDCT) imaging is the emerging modality for therapy assessment. While providing statistically significant quantification of global variation before/after treatment, the employed cross-section-area estimation techniques cannot guarantee the absolute accuracy of point-by-point estimation. Such uncertainty comes from the impossibility to define an accurate cross-sectional plane of a bronchus at locations where the notion of central axis is questionable. In order to overcome such limitation, this paper develops an original automated volumetric approach for bronchial wall quantification involving a successive model-based 3D reconstruction of the inner and outer bronchial wall surfaces. The inner surface is segmented by means of strong 3D morphological filtering and model-fitting. An optimal geometrico-topological model is generated by using a restricted Delaunay triangulation approach. The model is then dynamically deformed in the surface normal direction, under the constraint of local energy minimization acting at each evolving vertex. The energy potentials oppose a mesh-derived elastic component combining topological and geometric features in order to preserve shape regularity, and an expansion potential exploiting image characteristics. The deformation process both adapts the mesh resolution and handles topology changes and auto-collisions. The developed 3D modeling stabilizes the deformation at the level of the outer surface of the bronchial wall and provides robustness with respect to bronchus-blood vessel contacts, where image data is irrelevant. The accuracy of the volumetric segmentation approach was evaluated with respect to 3D mathematically-simulated phantoms of bronchial subdivisions. Comparisons with recent 2D techniques, carried out on simulated and real MDCT data showed similar performances in cross-section wall area quantification. The benefit of using volumetric versus cross-section area quantification is finally argued in the context of bronchial reactivity and wall remodeling follow-up.

SPIE Journal Paper | 1 April 2006

Three-dimensional reconstruction of the bronchial tree in volumetric computerized tomography: application to computerized tomography bronchography

Catalin Fetita, F. Prêteaux, Philippe Grenier

JEI, Vol. 15, Issue 02, 023004, (April 2006) https://doi.org/10.1117/12.10.1117/1.2201751

KEYWORDS: Image segmentation, 3D image processing, Computed tomography, Lung, 3D image reconstruction, Pathology, Reconstruction algorithms, Tomography, Image filtering, 3D acquisition

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Proceedings Article | 30 August 2005 Paper

Paper

Automated 3D vascular segmentation in CT hepatic venography

Catalin Fetita, Olivier Lucidarme, Francoise Preteux

Proceedings Volume 5916, 59160B (2005) https://doi.org/10.1117/12.620880

KEYWORDS: Liver, Image segmentation, Bone, Computed tomography, Tissues, Skin, Veins, 3D image processing, Data acquisition, Transplantation

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Proceedings Article | 30 August 2005 Paper

Paper

Accurate 3D quantification of the bronchial parameters in MDCT

A. Saragaglia, C. Fetita, F. Preteux, P. Brillet, P. Grenier

Proceedings Volume 5916, 59160X (2005) https://doi.org/10.1117/12.617669

KEYWORDS: Image segmentation, 3D modeling, Error analysis, Computed tomography, Mathematical morphology, Lung, Mathematical modeling, 3D image processing, Spatial resolution, Scanners

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Proceedings Article | 1 March 2005 Paper

Paper

Three-dimensional reconstruction of upper airways from MDCT

Diane Perchet, Catalin Fetita, Francoise Preteux

Proceedings Volume 5672, (2005) https://doi.org/10.1117/12.587741

KEYWORDS: Image segmentation, 3D modeling, 3D image processing, Tissues, 3D acquisition, Natural surfaces, Mathematical morphology, Mathematical modeling, Binary data, Image processing algorithms and systems

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Proceedings Article | 28 May 2004 Paper

Paper

Advanced navigation tools for virtual bronchoscopy

Diane Perchet, Catalin Fetita, Francoise Preteux

Proceedings Volume 5298, (2004) https://doi.org/10.1117/12.533096

KEYWORDS: Image segmentation, Bronchoscopy, Computed tomography, 3D acquisition, Distortion, Cameras, Algorithm development, 3D image processing, Reconstruction algorithms, Endoscopy

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Proceedings Article | 4 October 2000 Paper

Paper

Bronchial tree modeling and 3D reconstruction

Catalin Fetita, Francoise Preteux

Proceedings Volume 4121, (2000) https://doi.org/10.1117/12.402447

KEYWORDS: 3D modeling, Data acquisition, Mathematical modeling, Image segmentation, Simulation of CCA and DLA aggregates, Fractal analysis, Model-based design, Computed tomography, 3D acquisition, Volume rendering

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Proceedings Article | 5 March 1999 Paper

Paper

Three-dimensional reconstruction of human bronchial tree in HRCT

Catalin Fetita, Francoise Preteux

Proceedings Volume 3646, (1999) https://doi.org/10.1117/12.341094

KEYWORDS: Image segmentation, Ions, Lung, Computed tomography, Particles, Tin, Opacity, Mathematical morphology, Image filtering, Computing systems

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SPIE Journal Paper | 1 January 1999

Modeling, segmentation, and caliber estimation of bronchi in high resolution computerized tomography

Philippe Grenier, Françoise Prêteux, Catalin Fetita, Andre Capderou

JEI, Vol. 8, Issue 01, (January 1999) https://doi.org/10.1117/12.10.1117/1.482682

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Proceedings Article | 14 October 1997 Paper

Paper

Modeling, segmentation, and caliber estimation of bronchi in high-resolution computerized tomography

Francoise Preteux, Catalin Fetita, Philippe Grenier

Proceedings Volume 3167, (1997) https://doi.org/10.1117/12.279646

KEYWORDS: Computed tomography, Tomography, Mathematical morphology, Image filtering, Mathematical modeling

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Proceedings Article | 4 April 1997 Paper

Paper

Lossless compression of multispectral SPOT images

Gerard Mozelle, Francoise Preteux, Catalin Fetita, Francois Cabot

Proceedings Volume 3026, (1997) https://doi.org/10.1117/12.271127

KEYWORDS: Image compression, Multispectral imaging, Wavelet transforms, Satellites, Autoregressive models, Remote sensing, Data compression, 3D modeling, Satellite imaging, 3D image processing

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Showing 5 of 44 publications

Conference Committee Involvement (15)

Computer-Aided Diagnosis

16 February 2025 | San Diego, California, United States

Computer-Aided Diagnosis

19 February 2024 | San Diego, California, United States

Computer-Aided Diagnosis

20 February 2023 | San Diego, California, United States

Computer-Aided Diagnosis

21 February 2022 | San Diego, California, United States

Computer-Aided Diagnosis

15 February 2021 | Online Only, California, United States

Showing 5 of 15 Conference Committees

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