Correlation of In Vivo Clot Deposition With the Flow Characteristics in the 50 cc Penn State Artificial Heart: A Preliminary Study

Flow stasis in an artificial heart may provide a situation where thrombus develops. Should part, or all, of the clot dislodge, a thromboembolism may lead to stroke(s), neurologic deficits, or even death. In an effort to determine if the regime of low shear or stasis exists, a two-dimensional particle image velocimetry (PIV) system was implemented to measure the velocity field within the 50 cc Penn State Artificial Heart. The velocity measurements were decomposed nearest the wall to obtain wall shear rates along the bottom of the chamber. The PIV measurements were made in three image planes across the depth of the chamber to reconstruct a surface distribution of the wall shear rates at the bottom over the entire heart cycle. The wall shear rate is shown to be spatially nonuniform, with persistently low wall shear rates. An area near the front edge of the chamber at the bottom showed wall shear rates not exceeding 250 s−1. This was an area of clot formation seen in vivo, suggesting a link may exist between the low wall shear rate zone and thrombus formation.

[1]  Steven Deutsch,et al.  Wall shear-rate estimation within the 50cc Penn State artificial heart using particle image velocimetry. , 2004, Journal of biomechanical engineering.

[2]  Steven Deutsch,et al.  Diaphragm motion affects flow patterns in an artificial heart. , 2003, Artificial organs.

[3]  Pramote Hochareon DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY (PIV) FOR WALL SHEAR STRESS ESTIMATION WITHIN A 50CC PENN STATE ARTIFICIAL HEART VENTRICULAR CHAMBER , 2003 .

[4]  C. Zapanta,et al.  Multiscale Surface Evaluation Of Thrombosis In Left Ventricular Assist Systems , 2003 .

[5]  Wei Yin,et al.  Flow induced platelet activation in mechanical heart valves - in vitro studies , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[6]  Markus Raffel,et al.  Particle Image Velocimetry: A Practical Guide , 2002 .

[7]  Fulvio Scarano,et al.  Advances in iterative multigrid PIV image processing , 2000 .

[8]  D. Hart Super-resolution PIV by recursive local-correlation , 2000 .

[9]  Fulvio Scarano,et al.  Iterative multigrid approach in PIV image processing with discrete window offset , 1999 .

[10]  V T Turitto,et al.  Mechanical factors affecting hemostasis and thrombosis. , 1998, Thrombosis research.

[11]  Douglas P. Hart,et al.  High-Speed PIV Analysis Using Compressed Image Correlation , 1998 .

[12]  E. Leonard,et al.  Separated flows in artificial organs. A cause of early thrombogenesis? , 1996, ASAIO journal.

[13]  D B Geselowitz,et al.  LDA measurements of mean velocity and Reynolds stress fields within an artificial heart ventricle. , 1994, Journal of biomechanical engineering.

[14]  J. Westerweel,et al.  Efficient detection of spurious vectors in particle image velocimetry data , 1994 .

[15]  G Rosenberg,et al.  Relative blood damage in the three phases of a prosthetic heart valve flow cycle. , 1993, ASAIO journal.

[16]  G. Ryu,et al.  The fluid dynamic effect on protein adsorption in left ventricular assist devices. , 1993, ASAIO journal.

[17]  G. Ryu,et al.  Effect of shear rates on protein adsorption in the total artificial heart. , 1992, ASAIO journal.

[18]  Richard D. Keane,et al.  Theory of cross-correlation analysis of PIV images , 1992 .

[19]  A. Prasad Particle image velocimetry , 2000 .

[20]  D. Ku,et al.  Fluid mechanics of vascular systems, diseases, and thrombosis. , 1999, Annual review of biomedical engineering.

[21]  Douglas P. Hart,et al.  The Elimination of Correlation Errors in PIV Processing , 1998 .

[22]  R. Adrian Particle-Imaging Techniques for Experimental Fluid Mechanics , 1991 .

[23]  L. Lourenço Particle Image Velocimetry , 1989 .

[24]  N H Hwang,et al.  Human red blood cell hemolysis in a turbulent shear flow: contribution of Reynolds shear stresses. , 1984, Biorheology.