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Title: Reconstruction of Edges from Fan-Beam Projections
Authors: Narasimhadhan, A.V.
Sharma, A.
Koolagudi, S.G.
Naganjaneyulu, G.V.S.S.K.R.
Avinash, S.
Peddireddy, V.
Kishan, N.B.
Rajan, J.
Issue Date: 2019
Citation: IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2019, Vol.2018-October, , pp.1278-1283
Abstract: The goal of computerised tomography is to reconstruct cross sectional image of the object under consideration from it's projections whereas edge detection is an image analysis problem of utmost importance in medical imaging to outline the boundaries of tumours, bones etc. In this paper, a technique to reconstruct the edges directly from fan-beam projections, using the Marr-Hildreth operator, is presented. To obtain the edge map of object under consideration, the divergent beam transform of Marr-Hildreth operator is convolved with ramp filter to yield an edge reconstruction filter which is finally convolved with the acquired fan-beam projections and back-projected, resulting in a convolution back-projection, to reconstruct the edges. The paper also discusses about the utilisation of state-of-the-art Noo's algorithm to reconstruct the edges directly from equi-angular fan beam projections. Finally, the proposed technique is simulated to make relevant conclusions and inferences. � 2018 IEEE.
Appears in Collections:2. Conference Papers

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