Literature DB >> 28385725

Impact of image reconstruction parameters when using 3D DSA reconstructions to measure intracranial aneurysms.

Katrina L Ruedinger1, David R Rutkowski2,3, Sebastian Schafer4, Alejandro Roldán-Alzate2,3, Erick L Oberstar2, Charles Strother3.   

Abstract

BACKGROUND AND
PURPOSE: Safe and effective use of newly developed devices for aneurysm treatment requires the ability to make accurate measurements in the angiographic suite. Our purpose was to determine the parameters that optimize the geometric accuracy of three-dimensional (3D) vascular reconstructions.
METHODS: An in vitro flow model consisting of a peristaltic pump, plastic tubing, and 3D printed patient-specific aneurysm models was used to simulate blood flow in an intracranial aneurysm. Flow rates were adjusted to match values reported in the literature for the internal carotid artery. 3D digital subtraction angiography acquisitions were obtained using a commercially available biplane angiographic system. Reconstructions were done using Edge Enhancement (EE) or Hounsfield Unit (HU) kernels and a Normal or Smooth image characteristic. Reconstructed images were analyzed using the vendor's aneurysm analysis tool. Ground truth measurements were derived from metrological scans of the models with a microCT. Aneurysm volume, surface area, dome height, minimum and maximum ostium diameter were determined for the five models.
RESULTS: In all cases, measurements made with the EE kernel most closely matched ground truth values. Differences in values derived from reconstructions displayed with Smooth or Normal image characteristics were small and had only little impact on the geometric parameters considered.
CONCLUSIONS: Reconstruction parameters impact the accuracy of measurements made using the aneurysm analysis tool of a commercially available angiographic system. Absolute differences between measurements made using reconstruction parameters determined as optimal in this study were, overall, very small. The significance of these differences, if any, will depend on the details of each individual case. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Aneurysm; Artery; Stent; Technique; Technology

Mesh:

Year:  2017        PMID: 28385725     DOI: 10.1136/neurintsurg-2017-013080

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  6 in total

1.  Optimizing the Quality of 4D-DSA Temporal Information.

Authors:  K L Ruedinger; E C Harvey; S Schafer; M A Speidel; C M Strother
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-31       Impact factor: 3.825

2.  Fabrication of Low-Cost Patient-Specific Vascular Models for Particle Image Velocimetry.

Authors:  Katrina L Ruedinger; Rafael Medero; Alejandro Roldán-Alzate
Journal:  Cardiovasc Eng Technol       Date:  2019-05-16       Impact factor: 2.495

3.  Dataset on flow diversion procedures performed with the Pipeline Embolization Device, Pipeline Flex, and Surpass Streamline for intracranial aneurysms.

Authors:  Juan Vivanco-Suarez; Chaim Feigen; Kainaat Javed; Joseph M Dardick; Ryan Holland; Alan Mendez-Ruiz; Santiago Ortega-Gutierrez; Neil Haranhalli; David J Altschul
Journal:  Data Brief       Date:  2022-05-21

4.  Comparative analysis of aneurysm volume by different methods based on angiography and computed tomography angiography.

Authors:  Víctor Hugo Escobar-de la Garma; Marco Zenteno; Felipe Padilla-Vázquez; Daniel San-Juan; Aurelio Cerón-Morales
Journal:  Neurosurg Rev       Date:  2018-01-16       Impact factor: 3.042

Review 5.  4D-DSA: Development and Current Neurovascular Applications.

Authors:  K L Ruedinger; S Schafer; M A Speidel; C M Strother
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-26       Impact factor: 3.825

6.  Optimal Woven EndoBridge (WEB) Device Size Selection Using Automated Volumetric Software.

Authors:  Sameer Ansari; Cynthia B Zevallos; Mudassir Farooqui; Andres Dajles; Sebastian Schafer; Darko Quispe-Orozco; Alan Mendez-Ruiz; Samir Abdelkarim; Sudeepta Dandapat; Santiago Ortega-Gutierrez
Journal:  Brain Sci       Date:  2021-07-08
  6 in total

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