Int J Comput Assist Radiol Surg - Three-dimensional skeletonization and symbolic description in vascular imaging: preliminary results.

Tópicos

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Resumo

JECTIVE: A general method was developed to analyze and describe tree-like structures needed for evaluation of complex morphology, such as the cerebral vascular tree. Clinical application of the method in neurosurgery includes planning of the surgeon's intraoperative gestures.METHOD: We have developed a 3D skeletonization method adapted to tubular forms with symbolic description. This approach implements an iterative Dijkstra minimum cost spanning tree, allowing a branch-by-branch skeleton extraction. The proposed method was implemented using the laboratory software platform (ArtiMed). The 3D skeleton approach was tested on simulated data and preliminary trials on clinical datasets mainly based on magnetic resonance image acquisitions.RESULTS: A specific experimental evaluation plan was designed to test the skeletonization and symbolic description methods. Accuracy was tested by calculating the positioning error, and robustness was verified by comparing the results on a series of 18 rotations of the initial volume. Accuracy evaluation showed a Haussdorff's distance always smaller than 17 voxels and Dice's similarity coefficient greater than 70?%.CONCLUSION: Our method of symbolic description enables the analysis and interpretation of a vascular network obtained from angiographic images. The method provides a simplified representation of the network in the form of a skeleton, as well as a description of the corresponding information in a tree-like view.

Resumo Limpo

jectiv general method develop analyz describ treelik structur need evalu complex morpholog cerebr vascular tree clinic applic method neurosurgeri includ plan surgeon intraop gesturesmethod develop d skeleton method adapt tubular form symbol descript approach implement iter dijkstra minimum cost span tree allow branchbybranch skeleton extract propos method implement use laboratori softwar platform artim d skeleton approach test simul data preliminari trial clinic dataset main base magnet reson imag acquisitionsresult specif experiment evalu plan design test skeleton symbol descript method accuraci test calcul posit error robust verifi compar result seri rotat initi volum accuraci evalu show haussdorff distanc alway smaller voxel dice similar coeffici greater conclus method symbol descript enabl analysi interpret vascular network obtain angiograph imag method provid simplifi represent network form skeleton well descript correspond inform treelik view

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