Houston G Wood et al 2005 Rep. Prog. Phys. 68 545 doi:10.1088/0034-4885/68/3/R02
Houston G Wood1,3, Amy L Throckmorton2, Alexandrina Untaroiu1 and Xinwei Song1
Show affiliationsMillions of patients, from infants to adults, are diagnosed with congestive heart failure each year all over the world. A limited number of donor hearts available for these patients results in a tremendous demand for alternative, supplemental circulatory support in the form of artificial heart pumps or ventricular assist devices (VADs). The development procedure for such a device requires careful consideration of biophysical factors, such as biocompatibility, haemolysis, thrombosis, implantability, physiologic control feasibility and pump performance. Conventional pump design equations based on Newton's law and computational fluid dynamics (CFD) are readily used for the initial design of VADs. In particular, CFD can be employed to predict the pressure-flow performance, hydraulic efficiencies, flow profile through the pump, stress levels and biophysical factors, such as possible blood cell damage. These computational flow simulations may involve comprehensive steady and transient flow analyses. The transient simulations involve time-varying boundary conditions and virtual modelling of the impeller rotation in the blood pumps. After prototype manufacture, laser flow measurements with sophisticated optics and mock circulatory flow loop testing assist with validation of pump design and identification of irregular flow patterns for optimization. Additionally, acute and chronic animal implants illustrate the blood pump's ability to support life physiologically. These extensive design techniques, coupled with fundamental principles of physics, ensure a reliable and effective VAD for thousands of heart failure patients each year.
87.80.-y Biophysical techniques (research methods)
Issue 3 (March 2005)
Received 7 November 2004, in final form 7 December 2004
Published 31 January 2005
Houston G Wood et al 2005 Rep. Prog. Phys. 68 545
W Królikowski et al 2004 J. Opt. B: Quantum Semiclass. Opt. 6 S288
Maxim Trushin and John Schliemann 2007 New J. Phys. 9 346
M S Soskin and M V Vasnetsov 1998 Pure Appl. Opt. 7 301
John Schliemann et al 2003 J. Phys.: Condens. Matter 15 R1809
J Oberheide et al 1997 Meas. Sci. Technol. 8 351
T A G Eberlein et al 2003 J. Phys.: Condens. Matter 15 S2897
J P Goss et al 2002 J. Phys.: Condens. Matter 14 12843
J P Goss et al 2003 J. Phys.: Condens. Matter 15 S2903
J P Goss et al 2000 J. Phys.: Condens. Matter 12 10257