Harmonic Deconvolution in Ultrasound Vibro-Acoustic images Alexia Giannoula Communications group, Dept of Electrical & Computer Engineering, University of Toronto
Elastography Changes in elastic properties of soft tissue have been often attributed to the presence of disease or abnormal structures Most techniques in elasticity imaging or elastography involve: » tissue excitation by an external or internal force » detection of the tissue motion or displacement Using Ultrasound, magnetic resonance (MR), acoustic/optical methods Hard inclusion/tumor: smaller displacement B-modeelastogram
Acoustic Radiation Force A way to excite directly a target inside the body is through the use of the radiation force of ultrasound Advantages: » Non-invasive (external) excitation » Highly-localized radiation stress field (leads to increased precision) The radiation force mainly depends on: » The type of propagating medium (lossless/lossy, viscoelastic fluid etc.) » Mechanical properties of the target object » Geometry of the target object
Ultrasound Vibro-Acoustography (USVA) 1.Two CW beams at slightly different frequencies interfere in the focal zone 2.A modulated ultrasound field is generated at the “beat” frequency Df (low) 3.A highly-localized dynamic (oscillating) radiation force is produced 4.In response to the force (stress field), the object vibrates at the same Df 5.Vibration acoustic emission Detected by hydrophone/laser vibrometer Detection sensitivity: few nanometers Image resolution: PSF~700μm USVAX-RayPhoto
Proposed Deconvolution Scheme (I) Usually a blur is observed around the object » Due to the sidelobe effects of the system PSF Apply separate deconvolution to the fundamental and second harmonic signals recorded by the hydrophone Higher-harmonics arise due to tissue nonlinearities » Harmonic imaging better resolution and less noise/blur Second harmonic Fundamental
Proposed Deconvolution Scheme (II) First and Second-harmonic image formation: ? ξ(r 1 ) object function Each PSF h i represents the response of a point target to the radiation force F i (i=1,2) Obtain 2 deblurred images ξ 1, ξ 2 Fuse the outputs based on the different attenuations: ξ = α 1 ξ 1 + α 2 ξ 2 Form h 1, h 2 Filter each χ 1 (r), χ 2 (r) with the inverse PSFsFind F 1, F 2