630-03-003 ISMRM Abstract

Statistical assessment of anatomical and hemodynamic variations in ascending aortic disease - a combined MRA and 4D Flow MRI

Primary: Analysis Methods - Data Processing

Secondary: Cardiovascular - Flow

630-03-003 · Hemodynamics and Flow · Thursday, 14 May, 4:00 PM–5:50 PM · Meeting Room 2.60

Keywords: Data Analysis Statistical Shape model Computational modeling Thoracic Aortic Diseases Data Processing. hemodynamics. 4D flow MRI

Accepted

Pau Romero^1,2, Meritxell Meritxell Pardo-Rel, Saara Sillanmäki^3,4, Marja Hedman^5,6, David Marlevi ^1,7

¹Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden

²Universitat de València, Valencia, Spain

³Diagnostic Imaging Centre, Kuopio University Hospital, Kuopio, Finland

⁴Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland

⁵University of Eastern Finland (FI), Kuopio, Finland

⁶Kuopio University Hospital, Kuopio, Finland

⁷Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

Presenting Author: David Marlevi

Synopsis

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References

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2. Pau Romero, Abel Pedrós, Rafael Sebastian, Miguel Lozano, and Ignacio García-Fernández. A robust shape model for blood vessels analysis. Applied Mathematics and Computation, 487:129078, 2025.

3. Manuel Navarro-García, Vanesa Guerrero, and Mar´ıa Durban. On constrained smoothing and out-of-range prediction using p-splines: A conic optimization approach. Applied Mathematics and Computation, 441:127679, 2023.

4. Tobias Heimann and Hans-Peter Meinzer. Statistical shape models for 3d medical image segmentation: A review. Medical Image Analysis, 13(4):543–563, 2009.

5. Concetta Piazzese, M Chiara Carminati, Mauro Pepi, and Enrico G Caiani. Statistical shape models of the heart: applications to cardiac imaging. In Statistical Shape and Deformation Analysis, pages 445–480. Elsevier, 2017.

6. Damien Grosgeorge, Caroline Petitjean, J-N Dacher, and Su Ruan. Graph cut segmentation with a statistical shape model in cardiac mri. Computer Vision and Image Understanding, 117(9):1027– 1035, 2013.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/630-03-003