http://www.doc.ic.ac.uk/~gzy/osdm/

Predictive cardiac motion modeling and correction based on partial least squares regression to extract
intrinsic relationships between three-dimensional (3-D) cardiac deformation due to respiration and multiple one-dimensional real-time measurable surface intensity traces at chest or abdomen.
- see IEEE TMI 23(10), 2004

• The fluent heart 

The use of detailed anatomical model and corresponding boundary conditions captured in imaging for patient-specific CFD simulation. The method allows the calculation of features and properties such as wall shear stress and mass transfer rate which cannot be measured directly with imaging, but are important to the understanding of basic haemodynamics 

- ASME paper  and MIAR 2004 presentation

• Flow field restoration  -  MICCAI 2003. 
• Flow Simplification and streamline reduction - MICCAI 2004. 

A framework for the restoration, abstraction, and extraction of flow features such that the associated dynamic indices can be accurately tracked and quantified. The restoration method is formulated as a constrained optimisation problem for removing noise and enhancing the consistency of the MR velocity data. A computational scheme is derived from the First Order Lagrangian method for solving the optimisation problem. After restoration, flow abstraction is applied with which each cluster of velocity vectors is represented by a local linear expansion of its velocity components. This process not only greatly reduces the amount of data required to encode the velocity distribution but also permits an analytical representation of the flow field from which critical points associated with salient flow features can be accurately extracted. 

• Efficient and motion adaptive 3D myocardial perfusion imaging
• Tracer Kinetic Modeling and myocardial perfusion quantification
• In vivo and clinical validation
  http://www.doc.ic.ac.uk/~gzy/perfusion 

• Combined assessment of myocardial viability with Gd-Late enhancement imaging, myocardial wall motion and first pass myocardial perfusion imaging.  

• Virtual tagging with MR myocardial velocity mapping - IEEE TMI 
• Strain rate analysis with constrained myocardial velocity restoration
• Review of methods for measuring intrinsic myocardial mechanics - JMRI 

• The use of selective volume excitation for high resolution vessel wall imaging (JMRI, 2003;17(5):572-80).
• 3D morphological modeling of the arterial wall
• Feature reduction based atheroma classification

A locally focused MR imaging method for 3-D zonal echo-planar coronary angiography using volume selective RF excitation. Spatially variable resolution was used for delineating coronary arteries and reducing the effect of residual signals caused by the imperfect excitation profile of the RF pulse. The use of variable resolution enabled the derivation of basis functions having variable spatial characteristics pertain to regional object details and a significantly smaller number of phase encoded signal measurements was needed for image reconstruction.

• Gatehouse PD, Keegan J, Yang GZ, Firmin DN. Magn Reson Med, 2001 Nov;46(5):1031-6.
• Yang GZ, Burger P, Gatehouse, PD, Firmin DN. Magn Reson Med, 41, 171-178, 1999.
• Yang GZ, Gatehouse PD, Keegan J, Mohiaddin RH, Firmin DN. J. Magn Reson Med, 39: 833-842, 1998.

The derivation of dynamic flow pressure distribution from cine magnetic resonance velocity data. The method is based on the Navier-Stokes equations for incompressible Newtonian fluid and computational approach is validated both with a numerical model and in vitro flow phantoms. The work is aimed to contribute towards a better understanding of cardio-vascular dynamics, and serve as a basis for investigating pulsatile pressure/flow relations associated with normal and impaired cardiovascular function. 
  

• Magn Reson Med, 1996; 36, 520-526. 

• Yang GZ, Kilner, PJ, Firmin DN. J. Magn Reson Imag, 1996; 6:495-502.

Motion registered spatio-temporal phase unwrapping  for extending the dynamic range of cine magnetic resonance phase velocity measurements. The inter-frame cardiac movement is estimated from the magnitude image derived from the velocity encoded raw data, which ensures that the phase signal is unwrapped in the temporal direction with reference to pixels belonging to the same anatomic flow region.  The combination of spatial and temporal information ensures phase unwrapping in the presence of large phase aliasing errors.

Study of vortical flow features using multi-directional magnetic resonance velocity imaging based on the phase portrait method. The approach advocated relies on detecting critical flow features prior to analysing dynamical indices of the fluid, and therefore is well suited to the topological study of complex flow patterns depicted by MR velocity mapping techniques. 

• J Comput Assist Tomogr, 22(4):577-586, 1998.

The use of texture synthesis for flow visualisation. Two related issues are addressed, one is the removal of image noise from the acquired velocity data to ensure a correct representation of the underlying flow structure, and the other is the formation of transient streamlines through flow texture synthesis. (demo)

• CT Image Enhancement with Wavelet Analysis for the Detection of Small Airways Disease. IEEE TMI 1997,16(6), 953-961.
    
• Texture classification for the differentiation of obstructive lung diseases on computed tomography, Radiology, 2003; 228(3):871-7. 

The use of harmonic embedding and optimal shape correspondence with statistical modeling for assessing the morphology as well as dynamic thickening of the levator ani.  

• Paper at MICCAI 2003 
• Paper at MICCAI 2004  

Tools and background information about statistical shape modeling with harmonic embedding http://www.doc.ic.ac.uk/~gzy/osdm/