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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728187501
DOIs	https://doi.org/10.1109/IPTA50016.2020.9286688
Publication status	Published - 9 Nov 2020
Event	10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020 - Virtual, Paris, France Duration: 9 Nov 2020 → 12 Nov 2020

Publication series

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

Conference

Conference	10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020
Country/Territory	France
City	Virtual, Paris
Period	9/11/20 → 12/11/20

Keywords

centerline extraction
data visualization
image processing and analysis
patient specific medecine

Access to Document

10.1109/IPTA50016.2020.9286688

Cite this

Gangloff, H., Monfrini, E., Ghariani, M. Z., Ohana, M., Collet, C., & Chakfé, N. (2020). Improved centerline tracking for new descriptors of atherosclerotic aortas. In 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.",

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

}

Gangloff, H, Monfrini, E, Ghariani, MZ, Ohana, M, Collet, C & Chakfé, N 2020, Improved centerline tracking for new descriptors of atherosclerotic aortas. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In 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

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this