Visualisation of PET data in the Fly Algorithm

Abbood, Z.A. and Rocchisani, J-M. Vidal F.P. (2015) Visualisation of PET data in the Fly Algorithm. In: Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM) 14–15 September 2015 Chester, United Kingdom.

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We use the Fly algorithm, an artificial evolution strategy, to reconstruct positron emission tomography (PET) images. The algorithm iteratively optimises the position of 3D points. It eventually produces a point cloud, which needs to be voxelised to produce volume data that can be used with conventional medical image software. However, resulting voxel data is noisy. In our test case with 6,400 points the normalised cross-correlation (NCC) between the reference and the reconstruction is 85.53%; with 25,600 points it is 93.60%. This paper introduces a more robust 3D voxelisation method based on implicit modelling using metaballs to overcome this limitation. With metaballs, the NCC with 6,400 points increases up to 92.21%; and up to 96.26% with 25,600 points.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: Research Publications
Departments: College of Physical and Applied Sciences > School of Computer Science
Date Deposited: 24 Sep 2015 02:15
Last Modified: 24 Sep 2015 02:15
ISSN: 2070-5786
URI: http://e.bangor.ac.uk/id/eprint/5399
Identification Number: DOI: 10.2312/vcbm.20151227
Publisher: Eurographics Association
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