High quality accurate surface triangulation from a simplex mesh

\u3cp\u3eA method is disclosed for improving the accuracy of a surface mesh describing a segmented 3D object in a 3D image. A dual triangulation surface mesh is provided for a simplex surface mesh of the 3D object. Errors are reduced in the representation of the 3D object caused by the dual triangulation surface mesh by shifting triangulation nodes of the dual triangulation surface mesh of the segmented 3D object for providing a more accurate triangulation surface mesh. The 3D image is preferably a medical 3D image. Furthermore, a medical workstation, comprised in medical imaging system is disclosed for implementing the above improvement.\u3c/p\u3

Clinical features of homozygous FIG4‐p.Ile41Thr Charcot‐Marie‐Tooth 4J patients

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Automatic determination of the dynamic geometry of abdominal aortic aneurysm from MR with application to wall stress simulations

The current surgical intervention criterion for abdominal aortic aneurysm is based on the maximum transverse diameter of the aorta. Recent research advances indicate that a better rupture predictor may be derived from the wall stress, which can be computed with the finite element method. An essential prerequisite for this modelling is an accurate description of the geometry of the aneurysm. We developed an automatic method to derive the dynamic patient-specific aneurysm geometry from non-contrast enhanced MRA balanced turbo field images. The slices of our 2D-scanned volumes are registered onto 3D-scanned volumes to restore spatial coherence. The resulting images are noise-filtered and the enddiastolic volume is segmented with an active objects technique (deformable models). The resulting geometrical model is propagated to the remaining phases using the correlation between grey value profiles on the surface as an external force for the active object. From our segmentations we derived tetrahedral finite element meshes which were used as the input for finite element wall stress simulations

Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results

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Hearing loss in inherited peripheral neuropathies: Molecular diagnosis by NGS in a French series

International audienceBackground: The most common inherited peripheral neuropathy is Charcot-Marie-Tooth disease (CMT), with a prevalence of 1/2500. Other symptoms can be associated to the condition, such as hearing loss. Currently, no global hearing impairment assessment has been determined, and the physiopathology is not well known.Methods: The aim of the study was to analyze among a French series of 3,412 patients with inherited peripheral neuropathy (IPN), the ones who also suffer from hearing loss, to establish phenotype-genotype correlations. An NGS strategy for IPN one side and nonsyndromic hearing loss (NSHL) on the other side, were performed.Results: Hearing loss (HL) was present in only 44 patients (1.30%). The clinical data of 27 patients were usable. Demyelinating neuropathy was diagnosed in 15 cases and axonal neuropathy in 12 cases. HL varied from mild to profound. Five cases of auditory neuropathy were noticed. Diagnosis was made for 60% of these patients. Seven novel pathogenic variants were discovered in five different genes: PRPS1; MPZ; SH3TC2; NEFL; and ABHD12. Two patients with PMP22 variant, had also an additional variant in COCH and MYH14 respectively. No pathogenic variant was found at the DFNB1 locus. Genotype-phenotype correlations do exist, especially with SH3TC2, PRPS1, ABHD12, NEFL, and TRPV4.Conclusion: Involvement of PMP22 is not enough to explain hearing loss in patients suffering from IPN. HL can be due to cochlear impairment and/or auditory nerve dysfunction. HL is certainly underdiagnosed, and should be evaluated in every patient suffering from IPN