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The watershed algorithm: a method to segment noisy PET transmission images

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4 Author(s)
Riddell, C. ; Nat. Inst. of Health, Bethesda, MD, USA ; Brigger, P. ; Carson, R.E. ; Bacharach, S.L.

Attenuation correction is essential to PET imaging but often requires impractical acquisition times. Segmentation of short, noisier transmission scans has been proposed as a solution. We report that a 3D morphological tool-the watershed algorithm-is well adapted for segmenting even two-minute PET transmission images. The technique is non-iterative, fast and fully 3D. It inherently ensures class continuity and eliminates outliers. Pre-filtering the data induced smoother class edges, showing that a multi-resolution approach could be used to deal with the partial volume effect and excessive noise in the data. The algorithm was tested on two-minute scans of a torso phantom and on a human study

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Nuclear Science, IEEE Transactions on  (Volume:46 ,  Issue: 3 )