High resolution image reconstruction in ultrasound computer tomography using deconvolution

Rainer Stotzka M.D.; Nicole V. Ruiter; Tim O. Mueller; Rong Liu; Hartmut Gemmeke

doi:10.1117/12.595149

12 April 2005 High resolution image reconstruction in ultrasound computer tomography using deconvolution

Rainer Stotzka M.D., Nicole V. Ruiter, Tim O. Mueller, Rong Liu, Hartmut Gemmeke

Proceedings Volume 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing; (2005) https://doi.org/10.1117/12.595149
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Ultrasound computer tomography is an imaging method capable of producing volume images with high spatial resolution. The imaged object is enclosed by a cylindrical array of transducers. While one transducer emits a spherical wavefront (pulse), all other transducers are recording the radiofrequency (RF) a-scans simultaneously. Then another transducer acts as the emitter and so on. In this paper we describe the image reconstruction method and an enhanced algorithm for the a-scan preprocessing. The image reconstruction is based on a 'full aperture sum-and-delay' algorithm evaluating the reflected and scattered signals in the a-scans. The a-scans are modelled as the tissue response of the imaged object convoluted with the shape of the ultrasound pulse, which is determined by the transfer function of the transducers and the excitation. Spiking deconvolution and blind deconvolution with different parameters are used to build inverse filters of the ultrasound pulse. Applying the inverse filters to the a-scans results in sharper signals which are used for image reconstruction. Smallest scatterers of 0.1 mm size corresponding to one fifth of the used ultrasound wavelength are visible in the reconstructed images. Compared to conventional b-scans the resulting images show an approximately tenfold better resolution.

Citation Download Citation

Rainer Stotzka M.D., Nicole V. Ruiter, Tim O. Mueller, Rong Liu, and Hartmut Gemmeke "High resolution image reconstruction in ultrasound computer tomography using deconvolution", Proc. SPIE 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, (12 April 2005); https://doi.org/10.1117/12.595149

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