Geometry-based metrics for planning of neuroendovascular therapy

Subramanian, Navneeth; Kesavadas, Thenkurussi; Hoffmann, Kenneth R.

doi:10.1016/j.ics.2004.03.178

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…We also made significant progress in determining vessel parameters like tortuosity and curvature metrics 1,2,3 . This information was determined without considering the fitness of the stent.…”

Section: Methodsmentioning

confidence: 99%

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Configuration-space technique for calculating stent-fitness measures for the planning of neuro-endovascular interventions

2005

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This paper demonstrates a new technique to compute stent-fitness measures for a vascular anatomy, using geometric information. This technique will aid the interventionalist in treatment planning for Neuro-endovascular interventions. Patient-specific vessel-surface reconstruction is performed from point/contour data without user intervention. The technique developed is based on configuration-space algorithms, which are widely used in robot motion planning. A fitness measure is computed for stents with various parameters for a patient-specific vessel data. Finally, a simulation is performed to check for collisions. This feature will provide an additional tool to the interventionalist for the planning of neuro-endovascular interventions, with the dimensions of the stent based on proximal and distal neck of the aneurysm for a patient-specific vascular anatomy.

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Section: Methodsmentioning

confidence: 99%

“…This method uses the geometric structure of the reconstructed 3D vasculature applying configuration-space techniques already developed in our labs 3 . The vessel accessibility data computed by our technique is expected to facilitate and improve the efficacy of procedures in various clinical applications.…”

Section: Introductionmentioning

confidence: 99%

Configuration-space technique for calculating stent-fitness measures for the planning of neuro-endovascular interventions

2005

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“…The processes have been continuously improved in terms of speed, accuracy and range of materials, and used for various applications (Kochan et al 1999, Levy et al 2003. This was coupled with improvements in algorithms for part orientation, CAD model slicing: uniform and adaptive (Pandey et al 2004), and integration with reverse engineering (Kulkarni et al 2000, Subramanian et al 2004.…”

Section: Previous and Related Workmentioning

confidence: 99%

Rapid tooling route selection and evaluation for sand and investment casting

Pal

Ravi

2007

Virtual and Physical Prototyping

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Today, a number of direct routes using rapid prototyping (RP) processes (fused deposition modelling (FDM), laminated object manufacturing (LOM), stereolithography apparatus (SLA), selective laser sintering (SLS), etc.), as well as indirect routes (RP coupled with secondary or soft-tooling processes like RTV vacuum casting) are available for rapid fabrication of tooling for sand and investment casting processes. Each route is unique in terms of geometric, material, quality and cost characteristics; no comprehensive database of their capabilities has been reported, especially for metal casting applications. The problem of selecting the optimal rapid tooling (RT) route is a complex multi-criteria decision-making problem. This paper describes a systematic approach for RT route selection and planning. A database of RT process capabilities was generated through benchmarking experiments, covering 20 different widely used RT routes (both direct and indirect: two-and three-step processes) involving an impeller pattern. In this approach, RT process route selection involves translating the tooling requirements specified by the casting engineer into weighted tooling attributes using quality function deployment and analytic network process (QFD-ANP), which along with part specifications is used for RT route selection by calculating the overall process compatibility indices. The routes are ranked as per the value of the overall compatibility index. Once the optimal route is selected, process planning is carried out by retrieving a similar process plan using casebased reasoning (CBR). The methodology has been implemented in a software program using Visual C' ' programming language in a Windows environment. The methodology is demonstrated and validated with an industrial example of a separator body casting. It has proved to be a robust evaluation and decision-making tool for selecting appropriate tooling route for a given casting based on customer requirements.

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“…This work is not aimed so much towards training students and enhancing their surgical skills but to provide the surgeon with a pre-operative knowledge of how the surgical tools would behave inside the vessel of the patient upon whom he/she is going to operate. We believe that this tool, along with the various decision metrics developed inhouse [2], will add a new dimension to endovascular surgery. Further, such physically based simulations may be useful in predicting occurrences of vessel rupture or other serious conditions resulting from guidewire or stents movement through critical vessel geometries (Fig.…”

Section: Introductionmentioning

confidence: 99%