Sinogram Restoration for Sparse Projections Applied to Noisy Data in Ultrasound Tomography

In some cases the number of projections in a set of tomography data is limited. This can be seen from their sinogram. If this kind of data is reconstructed, the image produced will be deteroited. In order to overcome this problem an algorithm for restoring the incomplete sinogram has been developed in previous work. In that work the developed algorithm was tested using ideal data from Shepp-Logan panthom. In this paper the same algorithm is applied to restore incomplete and noisy data in ultrasound tomography. The phantom used in this study is a concrete cylinder with a diameter of 10.62 cm. Inside cylinder there are 6 holes with a diameter of 2 cm each. These holes were filled with various materials. The phantom were scanned in ultrasound tomography scheme and the resulted sinogram then reconstructed with and without sinogram restoration. Using contrast to noise ratio (<em>CNR</em>) indicator the reconstructed image with sinogram restoration is better than that without sinogram restoration.

Sinogram Restoration for Sparse Projections Applied to Noisy Data in Ultrasound Tomography

In some cases the number of projections in a set of tomography data is limited. This can be seen from their sinogram. If this kind of data is reconstructed, the image produced will be deteroited. In order to overcome this problem an algorithm for restoring the incomplete sinogram has been developed in previous work. In that work the developed algorithm was tested using ideal data from Shepp-Logan panthom. In this paper the same algorithm is applied to restore incomplete and noisy data in ultrasound tomography. The phantom used in this study is a concrete cylinder with a diameter of 10.62 cm. Inside cylinder there are 6 holes with a diameter of 2 cm each. These holes were filled with various materials. The phantom were scanned in ultrasound tomography scheme and the resulted sinogram then reconstructed with and without sinogram restoration. Using contrast to noise ratio (<em>CNR</em>) indicator the reconstructed image with sinogram restoration is better than that without sinogram restoration.

New Electric Tomography Scheme and Algorithms for Fast Recognition of Compound Structures

ABSTRACTNecessity of recognition of compound structures appears in different applications. Electrical tomography is one of perspective approach for investigation of material structures. A new special measurement scheme in electric tomography is proposed for the domain as a circle. This scheme opens possibility to construct electric tomography apparatus with faster computer recognition of structure of compounds materials, using General Ray algorithms. Computer simulation of this scheme is realised with MATLAB software and justified by numerical experiments on examples, related with electrical tomography.