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ANR funded project

Technologie pour la santé et l’autonomie (TecSan) 2011
Projet 3DSTRAIN

Multimodal quantification and validation of 3D regional myocardial function

The 3DSTRAIN project was submitted last year under the acronym VSTRAIN3D. The main issues reported by the reviewers and the evaluation committee, have been addressed: need for the adaptation of the proposed algorithm to each modality, poor involvement of the industrial partner, evaluation process to be detailed. The project has been reshaped to make transfer towards clinical application more obvious. On the methodological point of view, several recent feasibility results have been reported.
The aim of the project is to design a generic formalism for parietal and regional tracking of the left ventricle (LV) and to adapt it to the 3D+t cardiac imaging modalities used in clinical routine (echocardiography, gated-SPECT, cine-MRI). The estimated displacement field must be reliable enough and insensitive to various artifacts to assess regional myocardial function in 3D from the accurate and precise computation of strain.
The strain has recently proved to be of great interest for diagnosis and prognostic in cardiology, but its interpretation remains delicate because of the relative nature of the indices; the clinical objective of the 3DStrain project is to bring answers about the knowledge of normality.
A continuous variational approach will allow to integrate spatial properties for segmentation and to take into account the temporal cues provided in image sequences. The problem of dynamic tracking is considered both in a regional way where we estimate a dense displacement field inside myocardium over successive frames and using matched endocardial and epicardial walls.
Each imaging modality will be beforehand decomposed in several components thanks to a Morphological Component Analysis. They will be integrated to the variational framework of segmentation thanks to classical boundary or regional Chan and Vese terms, but also by making the most of new approaches, either of kernel type in order to get a better separation between the moving object and the background, or of local type to take into account spatial heterogeneities.
Motion estimation for regional tracking includes several interesting and novel approaches. The problem will be expressed as a transport problem that does not assume gray level to be invariant as in optical flow, and allows us to take into account the contraction-dilation-torsion movement characteristics. The standard transport problem is ill-posed and requires an additional regularization term. However the proposed optimal transport problem is well-conditioned and equivalent to the minimal kinetic energy solution. Finally motion estimation will be coupled to segmentation.
The partnership with the Keosys company enables the design of specialized plugins on a collaborative multimodal platform to make the three medical fields using cardiac imaging (cardiology, nuclear medicine and radiology) cooperate more efficiently. Each plugin is centered around one medical field and one imaging modality (resp. echography, SPECT and MRI) with variants in terms of user interface. 3D interactive visualization of the results is a priority to insure transfer of 3D strain towards clinical practice, that must be visually assessed by the expert, and corrected if needed by virtual interaction with the endocardial and epicardial detected surfaces.
Clinical experts of the three imaging modalities of interest are involved in the project and will participate to the definition of specifications and to validation. Results will be checked against the method considered as a reference (MRI tagging) and to the more recent echocardiographic imaging technique for deformation, the 3D speckle tracking.

Partners

INSA DE LYON - ICJ INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON - INSA

Keosys KEOSYS

UBP UNIVERSITE BLAISE PASCAL - CLERMONT-FERRAND II

ISIT UNIVERSITE D'AUVERGNE - CLERMONT-FERRAND I

ANR grant: 901 351 euros
Beginning and duration: octobre 2011 - 48 mois

 

ANR Programme: Technologie pour la santé et l’autonomie (TecSan) 2011

Project ID: ANR-11-TECS-0002

Project coordinator:
Monsieur Laurent SARRY (UNIVERSITE D'AUVERGNE - CLERMONT-FERRAND I)
laurent.sarry@nullu-clermont1.fr

 

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The project coordinator is the author of this abstract and is therefore responsible for the content of the summary. The ANR disclaims all responsibility in connection with its content.