Patient-Specific biomechanical modeling of cardiac amyloidosis – A case study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9126, Issue , 2015, Pages 295-303

  Chapelle, D ^a   Felder, A ^a   Chabiniok, R ^a,c   Guellich, A ^b   Deux, J F ^b   Damy, T ^b  

^a INRIA SACLAY   (France)

^b HENRI MONDOR HOSPITAL   (France)

^c ST THOMAS HOSPITAL   (United Kingdom)

Author keywords

Amyloidosis; Cardiac modelling; Heart failure; Patient specific

Indexed keywords

BIOMECHANICS; DISEASES;

AMYLOIDOSIS; BIO-MECHANICAL MODELS; CARDIAC MODELLING; HEART FAILURE; MODEL CALIBRATION; PASSIVE STIFFNESS; PATIENT SPECIFIC; PHARMACOLOGICAL TREATMENT;

HEART;

EID: 84949992794     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-20309-6_34     Document Type: Conference Paper

References (18)

1. Caruel, M., et al.: Dimensional reductions of a cardiac model for effective validation and calibration. Biomech. Model. Mechan. 13(4), 897–914 (2014)
2. Chabiniok, R., et al.: Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model. Biomech. Model. Mechanobiol. 11(5), 609–630 (2012)
3. Chapelle, D., et al.: Energy-preserving muscle tissue model: formulation and compatible discretizations. Int. J. Multiscale Comput. 10(2), 189–211 (2012)
4. Damy, T., et al.: Role of natriuretic peptide to predict cardiac abnormalities in patients with hereditary transthyretin amyloidosis. Amyloid 20(4), 212–220 (2013)
5. Frey, P., George, P.L.: Mesh Generation, 2nd edn. Wiley, New York (2008)
6. Gray Gilstrap, L., et al.: Predictors of survival to orthotopic heart transplant in patients with light chain amyloidosis. J. Hear. Lung Transplant. 33(2), 149–156 (2014)
7. Koeppen, B.M., Stanton, B.A.: Berne and Levy Physiology, 6th edn. Mosby, Philadelphia (2009)
8. Koyama, J., Falk, R.H.: Prognostic significance of strain Doppler imaging in lightchain amyloidosis. J. Am. Coll. Cardiol. Imging 3(4), 333–342 (2010)
9. Koyama, J., et al.: Longitudinal myocardial function assessed by tissue velocity, strain, and strain rate tissue Doppler echocardiography in patients with AL (primary) cardiac amyloidosis. Circulation 107(19), 2446–2452 (2003)
10. Liu, D., et al.: Echocardiographic evaluation of systolic and diastolic function in patients with cardiac amyloidosis. Am. J. Cardiol. 108(4), 591–8 (2011)
11. McCarthy, R.E., Kasper, E.K.: A review of the amyloidoses that infiltrate the heart. Clin. Cardiol. 21(8), 547–552 (1998)
12. Roig, E., et al.: Outcomes of heart transplantation for cardiac amyloidosis: subanalysis of the Spanish registry for heart transplantation. Am. J. Transplant. 9(6), 1414–1419 (2009)
13. Rueckert, D., et al.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712–721 (1999)
14. Sermesant, M., et al.: Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: a preliminary clinical validation. Med. Image Anal. 16(1), 201–215 (2012)
15. Shi, W., et al.: A comprehensive cardiac motion estimation framework using both untagged and 3D tagged MR images based on non-rigid registration. IEEE Trans. Med. Imaging 31(6), 1263–1275 (2012)
16. Syed, I.S., et al.: Role of cardiac magnetic resonance imaging in the detection of cardiac amyloidosis. J. Am. Coll. Cardiol. Imging 3(2), 155–164 (2010)
17. Toussaint, N., et al.: An integrated platform for dynamic cardiac simulation and image processing: application to personalised tetralogy of Fallot simulation. In: Proceedings, Eurographics Workshop on Visual Computing for Biomedicine (2008)
18. Vikram, C.S.: Removing the diffraction halo effect in speckle photography of sinusoidal vibration. Appl. Opt. 29(25), 3572–3573 (1990)