PDE-CONSTRAINED OPTIMIZATION FOR NUCLEAR MECHANICS

被引：0

作者：

Kesenci, Yekta ^{[1
,2
]}

Boquet-Pujadas, Aleix ^{[3
]}

van Bodegraven, Emma ^{[4
]}

Etienne-Manneville, Sandrine ^{[5
]}

Re, Elisabeth Labruye ^{[1
]}

Olivo-Marin, Jean-Christophe ^{[1
]}

机构：

[1] Inst Pasteur, CNRS UMR 3691, BioImage Anal Unit, Paris, France

[2] Univ Paris, Paris, France

[3] Ecole Polytech Fed Lausanne, Biomed Imaging Grp, Stn 17, CH-1015 Lausanne, Switzerland

[4] Univ Utrecht, Dept Translat Neurosci, Brain Ctr, UMC Utrecht, NL-3584 CG Utrecht, Netherlands

[5] Inst Pasteur, UMR3691 CNRS, Cell Polar Migrat & Canc Unit, Paris, France

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP | 2022年

关键词：

Nuclear mechanics; adjoint method; optical flow;

D O I：

10.1109/ICIP46576.2022.9897967

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose an image based PDE-constrained optimisation framework to compute the dynamical quantities of a cell nucleus undergoing deformation. It allows retrieving the displacement, strain and stress at each pixel of the nuclear domain, as well as the traction force on the boundary. It is based on a mechanical model of the nuclear components and a pair of images documenting the deformation of the cell nucleus. To test our approach, we provide a warping method that produces a second image from an initial one along with the expected mechanical quantities. Both quantitative and qualitative analysis conclude for a significant and consistent improvement of our method over optical flow techniques.

引用

页码：2192 / 2195

页数：4

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