Determination of 3D flow velocity distributions from single-plane angiographic sequences

Kenneth R. Hoffmann; Todd Dorazio; Joseph Lee; Jae-Hun Jung; E. Bruce Pitman; Alan Walczak; Xinjuan Chen

doi:10.1117/12.877792

16 March 2011 Determination of 3D flow velocity distributions from single-plane angiographic sequences

Kenneth R. Hoffmann, Todd Dorazio, Joseph Lee, Jae-Hun Jung, E. Bruce Pitman, Alan Walczak, Xinjuan Chen

Proceedings Volume 7961, Medical Imaging 2011: Physics of Medical Imaging; 79613S (2011) https://doi.org/10.1117/12.877792
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Understanding 3D flow-velocity fields may be valuable during interventional procedures. Thus, we are developing methods to calculate 3D flow fields from single-plane angiographic sequences. The vessel geometry is selected. Flow fields are generated based on laminar flow conditions. X-ray-attenuating contrast is propagated through the vessel using the flow fields. Angiograms are generated at 30 frames/second using ray-casting. Vessel profile data are extracted from the angiograms along lines perpendicular to the vessel axis. The conversion from image intensity to contrast pathlength is determined. The contrast pathlength is calculated for each vessel-profile point, and the contrast is centered about the vessel's central plane generating a 3D contrast distribution. This procedure is repeated for each acquired angiogram. Corresponding points on the surface of the calculated contrast distributions are established for temporally adjacent distributions using estimated streamlines. Distances between corresponding points are calculated from which average velocities are calculated. These average velocities are placed at points along the streamlines, thereby generating a 3D velocity flow field in the vessel lumen. Simulations for steady flow conditions for straight vessels, curved (in-plane) vessels, and vessels with stenoses, for noiseless and noisy (10% peak contrast) angiograms were performed. The calculated and simulated 3D contrast distributions agree well for both noiseless and noisy conditions (errors < 2 voxels ~ 0.2 mm). Average absolute error of the calculated 3D flow velocities is approximately 10%. These promising initial results indicate that this technique may form the basis for calculating 3D-contrast and 3D-flow-velocity distributions from standard single-plane angiographic sequences.

Citation Download Citation

Kenneth R. Hoffmann, Todd Dorazio, Joseph Lee, Jae-Hun Jung, E. Bruce Pitman, Alan Walczak, and Xinjuan Chen "Determination of 3D flow velocity distributions from single-plane angiographic sequences", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79613S (16 March 2011); https://doi.org/10.1117/12.877792

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Angiography

3D acquisition

Signal to noise ratio

3D imaging standards

3D modeling

Computer simulations

Data acquisition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years