4D MRI phase-contrast image to determinate blood flow patterns in aorta

Transcription

1 4D MRI phase-contrast image to determinate blood flow patterns in aorta E. Soudah 1, M.R.Cancio 2, H.Yervilla 2, F.Carreras 3, J.S.Ronda 1, E.Oñate 1 1 International Centre for Numerical Methods in Engineering(CIMNE) Campus Norte UPC, Barcelona, Spain 2 Universidad Central de las Villas Aula UCLV-CIMNE Santa Clara, Cuba 3 Hospital Sant Pau y Creu Blanca, Barcelona, Spain CMBE 2011 Thursday, March 31 th

2 Use Case Clinical view: Aorta diseases: Thoracic Aortic Aneurysms (Marfan s Syndrome) Aorta dissection Valve diseases Aortic Valve Stenosis tricuspid(three leaflets)/bicuspid (two leaflets) Mathematical view: Obtain the real blood flow of the aorta directly from the 4D MRI phase-contrast image. 4D combine Phase-Contrast imaging & CFD simulation. Possibility to create a volume mesh from an image segmented.

3 Use Case Clinical view: Aorta diseases: Thoracic Aortic Aneurysms (Marfan s Syndrome) Aorta dissection Valve diseases Aortic Valve Stenosis tricuspid(three leaflets)/bicuspid (two leaflets) Mathematical view: Obtain the real blood flow of the aorta directly from the 4D MRI phase-contrast image. 4D combine Phase-Contrast imaging & CFD simulation. Possibility to create a volume mesh from an image segmented.

4 Use Case Goal Using 4D MRI image combined with CFD to: Increase objectivity and reproducibility for the assessment of the Aorta. Provide addition information to improve in treatment decision. Outline 4D MRI Phase-contrast Segmentation & Meshing Numerical Results Conclusions

5 Use Case Goal Using 4D MRI image combined with CFD to: Increase objectivity and reproducibility for the assessment of the Aorta. Provide addition information to improve in treatment decision. Outline 4D MRI Phase-contrast Segmentation & Meshing Numerical Results Conclusions

6 WorkFlow DIPPO DCM Slicer ROI Filter 1 Filter N Filter 1 Filter N VTK Image Manager NoiseFilter Manager Segmentation Manager Numerical solver (CFD) Pre-Process VELOCITY GEOMETRY

7 4D MRI Phase-Contrast Time-resolved phase contrast (PC) MRI with velocity encoding in three directions (flow-sensitive four-dimensional MRI) can be employed to assess three-dimensional blood flow in the entire aortic lumen within a single measurement. 4D phase contrast MRI at 3 T:effect of standard and blood-pool contrast agents on SNR, PC-MRA, and blood flow visualization Bock J, Frydrychowicz A, Stalder AF, Bley TA, Burkhardt H, Hennig J, Markl M. Magn Reson Med 2010;63(2): Kindly provided by M.Markl

8 1-Zhao, F., et al., Automated 4D Segmentation of Aortic Magnetic Resonance Images. 2-Frangi, A.F., et al., Multiscale vessel enhancement filtering SETHIAN, J.A., Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision and Materials Science Ibañez. Kitware,Inc. Segmentation 4D phase-contrast image (spatio-temporal) n volumetric images defined at n differents time steps (in this particular case: 12 time-steps) Semi-automatic Segmentation method 1 Aortic surface pre-segmetation (vesselnes enhancement filter) 2,4 and Tresholded 3,4

9 Aorta Velocities

10 Details Aorta Velocities, for step 4

11 Details Aorta Velocities, all steps Aorta Coronal Plane Aorta Volume

12 WorkFlow DIPPO DCM Slicer ROI Filter 1 Filter N Filter 1 Filter N VTK Image Manager NoiseFilter Manager Segmentation Manager Numerical solver (CFD) Pre-Process VELOCITY GEOMETRY

13 Volume mesh Iso-Stuffing.(Direct volume meshing with quality warranty).(françois Labelle and Jonathan Richard Shewchuk, Isosurface Stuffing: Fast Tetrahedral Meshes with Good Dihedral Angles, ACM Transactions on Graphics 26(3), August Special issue on Proceedings of SIGGRAPH 2007)

14 CFD WSS CFD Velocities

15 Aorta dissection A multi-method approach towards understanding the pathophysiology of aortic dissections the complementary role of in-silico, in-vitro and in-vivo information Paula A. Rudenick, Maurizio Bordone, Bart H. Bijnens, Eduardo Soudah, David Garcia-Dorado, and Arturo Evangelista CIMNE & Vall d Hebron

16 Aorta dissection CIMNE & Vall d Hebron

17 Conclusions - MRI 4D PC patient-specific data for Aorta studies. - More data are available for quantitative studies. - Combine MRI 4D with CFD Simulations (boundary conditions) - Improvement quantitative analysis - Determinate flow patterns and vortex in aorta. Future Studies - Velocity sensitive analysis - Compare 2D & 4D PC Image & CFD - Compare phantom model & 4D PC image CIMNE & Vall d Hebron

18 Thank you Eduardo Soudah CMBE 2011 Thursday, March 31 th