Improved centerline tracking for new descriptors of atherosclerotic aortas

Hugo Gangloff; Emmanuel Monfrini; Mohamed Zied Ghariani; Mickaël Ohana; Christophe Collet; Nabil Chakfé

doi:10.1109/IPTA50016.2020.9286688

Improved centerline tracking for new descriptors of atherosclerotic aortas

Hugo Gangloff
, Emmanuel Monfrini
, Mohamed Zied Ghariani
, Mickaël Ohana
, Christophe Collet
, Nabil Chakfé

Université de Strasbourg
GEPROVAS
Department of Vascular Surgery and Kidney Transplantation
CHRU Strasbourg
Department of Radiology

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical research, we propose new objective mathematical descriptors of the patient vascular morphology. These descriptors can be automatically extracted thanks to a robust centerline extraction algorithm also presented in this article and that is dedicated to the processing of noisy meshes. We show that these descriptors can provide new vizualization tools built from segmented CT scans.

langue originale	Anglais
titre	2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020
Editeur	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)	9781728187501
Les DOIs	https://doi.org/10.1109/IPTA50016.2020.9286688
état	Publié - 9 nov. 2020
Evénement	10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020 - Virtual, Paris, France Durée: 9 nov. 2020 → 12 nov. 2020

Série de publications

Nom	2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020

Une conférence

Une conférence	10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020
Pays/Territoire	France
La ville	Virtual, Paris
période	9/11/20 → 12/11/20

Accès au document

10.1109/IPTA50016.2020.9286688

Contient cette citation

Gangloff, H., Monfrini, E., Ghariani, M. Z., Ohana, M., Collet, C., & Chakfé, N. (2020). Improved centerline tracking for new descriptors of atherosclerotic aortas. Dans 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020 Article 9286688 (2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPTA50016.2020.9286688

Gangloff, Hugo ; Monfrini, Emmanuel ; Ghariani, Mohamed Zied et al. / Improved centerline tracking for new descriptors of atherosclerotic aortas. 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020).

@inproceedings{043f446195ea4e21b031b9ff89738b45,

title = "Improved centerline tracking for new descriptors of atherosclerotic aortas",

abstract = "To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical research, we propose new objective mathematical descriptors of the patient vascular morphology. These descriptors can be automatically extracted thanks to a robust centerline extraction algorithm also presented in this article and that is dedicated to the processing of noisy meshes. We show that these descriptors can provide new vizualization tools built from segmented CT scans.",

keywords = "centerline extraction, data visualization, image processing and analysis, patient specific medecine",

author = "Hugo Gangloff and Emmanuel Monfrini and Ghariani, \{Mohamed Zied\} and Micka{\"e}l Ohana and Christophe Collet and Nabil Chakf{\'e}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020 ; Conference date: 09-11-2020 Through 12-11-2020",

year = "2020",

month = nov,

day = "9",

doi = "10.1109/IPTA50016.2020.9286688",

language = "English",

series = "2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Gangloff, H, Monfrini, E, Ghariani, MZ, Ohana, M, Collet, C & Chakfé, N 2020, Improved centerline tracking for new descriptors of atherosclerotic aortas. Dans 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020., 9286688, 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020, Institute of Electrical and Electronics Engineers Inc., 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020, Virtual, Paris, France, 9/11/20. https://doi.org/10.1109/IPTA50016.2020.9286688

Improved centerline tracking for new descriptors of atherosclerotic aortas. / Gangloff, Hugo; Monfrini, Emmanuel; Ghariani, Mohamed Zied et al.
2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9286688 (2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Improved centerline tracking for new descriptors of atherosclerotic aortas

AU - Gangloff, Hugo

AU - Monfrini, Emmanuel

AU - Ghariani, Mohamed Zied

AU - Ohana, Mickaël

AU - Collet, Christophe

AU - Chakfé, Nabil

PY - 2020/11/9

Y1 - 2020/11/9

N2 - To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical research, we propose new objective mathematical descriptors of the patient vascular morphology. These descriptors can be automatically extracted thanks to a robust centerline extraction algorithm also presented in this article and that is dedicated to the processing of noisy meshes. We show that these descriptors can provide new vizualization tools built from segmented CT scans.

AB - To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical research, we propose new objective mathematical descriptors of the patient vascular morphology. These descriptors can be automatically extracted thanks to a robust centerline extraction algorithm also presented in this article and that is dedicated to the processing of noisy meshes. We show that these descriptors can provide new vizualization tools built from segmented CT scans.

KW - centerline extraction

KW - data visualization

KW - image processing and analysis

KW - patient specific medecine

U2 - 10.1109/IPTA50016.2020.9286688

DO - 10.1109/IPTA50016.2020.9286688

M3 - Conference contribution

AN - SCOPUS:85099290550

T3 - 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020

BT - 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020

Y2 - 9 November 2020 through 12 November 2020

ER -

Gangloff H, Monfrini E, Ghariani MZ, Ohana M, Collet C, Chakfé N. Improved centerline tracking for new descriptors of atherosclerotic aortas. Dans 2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9286688. (2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020). doi: 10.1109/IPTA50016.2020.9286688

Improved centerline tracking for new descriptors of atherosclerotic aortas

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