SART 3.5D - Recovering cerebrovascular hemodynamics from standard 3D digital subtraction angiography cone-beam CT data-sets

https://doi.org/10.4081/vl.2019.8427
  • Sara El Hadji | sara.elhadji@polimi.it Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy.
  • Elena De Momi Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy.
  • Francesco Cardinale Claudio Munari Centre for Epilepsy and Parkinson surgery, Niguarda Ca’ Granda Hospital, Milano, Italy.
  • Giuseppe Baselli Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy.

Abstract

Not available

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.
Published
2019-08-02
Info
Issue
Vol 8 No 2 (2019) - Monographic issue on ISNVD Meeting
Section
Conference presentations
Keywords:
Neurovascular diseases, meeting.
Statistics
  • Abstract views: 244

  • PDF: 88
  • HTML: 16
How to Cite
El Hadji, S., De Momi, E., Cardinale, F., & Baselli, G. (2019). SART 3.5D - Recovering cerebrovascular hemodynamics from standard 3D digital subtraction angiography cone-beam CT data-sets. Veins and Lymphatics, 8(2). https://doi.org/10.4081/vl.2019.8427

Copyright (c) 2019 Sara El Hadji, Elena De Momi, Francesco Cardinale, Giuseppe Baselli

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.