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Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models
- Source :
- Medical and Biological Engineering and Computing, Medical and Biological Engineering and Computing, Springer Verlag, 2013, pp.1--16. ⟨10.1007/s11517-013-1044-7⟩, Medical and Biological Engineering and Computing, 2013, pp.1--16. ⟨10.1007/s11517-013-1044-7⟩
- Publication Year :
- 2013
- Publisher :
- Springer Science and Business Media LLC, 2013.
-
Abstract
- International audience; This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two aspects. The first one focuses on pre-operative multimodal image data. From 2D echocardiography and 3D tagged MRI images, we compute atlas based dyssynchrony indices. We complement these indices with presence and extent of scar tissue and correlate them with CRT response. The second one focuses on computational models. We use pre-operative imaging to generate a patient-specific computational model. We show results of a fully automatic personalized electromechanical simulation. By case-per-case discussion of the results, we highlight the potential and key issues of this multimodal pipeline for the understanding of the mechanisms of CRT response and a better patient selection.
- Subjects :
- Adult
Computer science
medicine.medical_treatment
0206 medical engineering
Biomedical Engineering
Cardiac resynchronization therapy
02 engineering and technology
030204 cardiovascular system & hematology
Machine learning
computer.software_genre
Cardiac Resynchronization Therapy
Electrocardiography
03 medical and health sciences
Imaging, Three-Dimensional
0302 clinical medicine
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
medicine
Humans
Computer Simulation
Computer vision
Precision Medicine
Aged
Computational model
business.industry
Patient Selection
Models, Cardiovascular
Middle Aged
Patient specific
Precision medicine
Magnetic Resonance Imaging
020601 biomedical engineering
Pipeline (software)
Pre operative
3. Good health
Computer Science Applications
Multimodal image
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Fully automatic
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Artificial intelligence
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
computer
Subjects
Details
- ISSN :
- 17410444 and 01400118
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Medical & Biological Engineering & Computing
- Accession number :
- edsair.doi.dedup.....60102dea20be8cedf9203204d8bc1216