Abstract:
:Recent developments in computational modeling of cochlear implantation are promising to study in silico the performance of the implant before surgery. However, creating a complete computational model of the patient's anatomy while including an external device geometry remains challenging. To address such a challenge, we propose an automatic framework for the generation of patient-specific meshes for finite element modeling of the implanted cochlea. First, a statistical shape model is constructed from high-resolution anatomical μCT images. Then, by fitting the statistical model to a patient's CT image, an accurate model of the patient-specific cochlea anatomy is obtained. An algorithm based on the parallel transport frame is employed to perform the virtual insertion of the cochlear implant. Our automatic framework also incorporates the surrounding bone and nerve fibers and assigns constitutive parameters to all components of the finite element model. This model can then be used to study in silico the effects of the electrical stimulation of the cochlear implant. Results are shown on a total of 25 models of patients. In all cases, a final mesh suitable for finite element simulations was obtained, in an average time of 94 s. The framework has proven to be fast and robust, and is promising for a detailed prognosis of the cochlear implantation surgery.
journal_name
Ann Biomed Engjournal_title
Annals of biomedical engineeringauthors
Mangado N,Ceresa M,Duchateau N,Kjer HM,Vera S,Dejea Velardo H,Mistrik P,Paulsen RR,Fagertun J,Noailly J,Piella G,González Ballester MÁdoi
10.1007/s10439-015-1541-ysubject
Has Abstractpub_date
2016-08-01 00:00:00pages
2453-2463issue
8eissn
0090-6964issn
1573-9686pii
10.1007/s10439-015-1541-yjournal_volume
44pub_type
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