Literature DB >> 20879338

Personalization of cubic Hermite meshes for efficient biomechanical simulations.

Pablo Lamata1, Steven Niederer, David Barber, David Norsletten, Jack Lee, Rod Hose, Nic Smith.   

Abstract

Cubic Hermite meshes provide an efficient representation of anatomy, and are useful for simulating soft tissue mechanics. However, their personalization can be a complex, time consuming and labour-intensive process. This paper presents a method based on image registration and using an existing template for deriving a patient-specific cubic Hermite mesh. Its key contribution is a solution to customise a Hermite continuous description of a shape with the use of a discrete warping field. Fitting accuracy is first tested and quantified against an analytical ground truth solution. To then demonstrate its clinical utility, a generic cubic Hermite heart ventricular model is personalized to the anatomy of a patient, and its mechanical stability is successfully tested. The method achieves an easy, fast and accurate personalization of cubic Hermite meshes, constituting a crucial step for the clinical adoption of physiological simulations.

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Year:  2010        PMID: 20879338     DOI: 10.1007/978-3-642-15745-5_47

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  5 in total

1.  Towards causally cohesive genotype-phenotype modelling for characterization of the soft-tissue mechanics of the heart in normal and pathological geometries.

Authors:  Øyvind Nordbø; Arne B Gjuvsland; Anders Nermoen; Sander Land; Steven Niederer; Pablo Lamata; Jack Lee; Nicolas P Smith; Stig W Omholt; Jon Olav Vik
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

2.  Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling.

Authors:  Azar Rahimi
Journal:  IEEE Trans Biomed Eng       Date:  2015-01-21       Impact factor: 4.538

3.  euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling.

Authors:  Nic Smith; Adelaide de Vecchi; Matthew McCormick; David Nordsletten; Oscar Camara; Alejandro F Frangi; Hervé Delingette; Maxime Sermesant; Jatin Relan; Nicholas Ayache; Martin W Krueger; Walther H W Schulze; Rod Hose; Israel Valverde; Philipp Beerbaum; Cristina Staicu; Maria Siebes; Jos Spaan; Peter Hunter; Juergen Weese; Helko Lehmann; Dominique Chapelle; Reza Rezavi
Journal:  Interface Focus       Date:  2011-04-01       Impact factor: 3.906

Review 4.  Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.

Authors:  Radomir Chabiniok; Vicky Y Wang; Myrianthi Hadjicharalambous; Liya Asner; Jack Lee; Maxime Sermesant; Ellen Kuhl; Alistair A Young; Philippe Moireau; Martyn P Nash; Dominique Chapelle; David A Nordsletten
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

5.  Patient specific fluid-structure ventricular modelling for integrated cardiac care.

Authors:  A de Vecchi; D A Nordsletten; R Razavi; G Greil; N P Smith
Journal:  Med Biol Eng Comput       Date:  2013-01-24       Impact factor: 2.602

  5 in total

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