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Proceedings Paper

3D noise power spectrum applied on clinical MDCT scanners: effects of reconstruction algorithms and reconstruction filters
Author(s): Frédéric A. Miéville; Gregory Bolard; Mohamed Benkreira; Paul Ayestaran; François Gudinchet; François Bochud; Francis R. Verdun
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Paper Abstract

The noise power spectrum (NPS) is the reference metric for understanding the noise content in computed tomography (CT) images. To evaluate the noise properties of clinical multidetector (MDCT) scanners, local 2D and 3D NPSs were computed for different acquisition reconstruction parameters. A 64- and a 128-MDCT scanners were employed. Measurements were performed on a water phantom in axial and helical acquisition modes. CT dose index was identical for both installations. Influence of parameters such as the pitch, the reconstruction filter (soft, standard and bone) and the reconstruction algorithm (filtered-back projection (FBP), adaptive statistical iterative reconstruction (ASIR)) were investigated. Images were also reconstructed in the coronal plane using a reformat process. Then 2D and 3D NPS methods were computed. In axial acquisition mode, the 2D axial NPS showed an important magnitude variation as a function of the z-direction when measured at the phantom center. In helical mode, a directional dependency with lobular shape was observed while the magnitude of the NPS was kept constant. Important effects of the reconstruction filter, pitch and reconstruction algorithm were observed on 3D NPS results for both MDCTs. With ASIR, a reduction of the NPS magnitude and a shift of the NPS peak to the low frequency range were visible. 2D coronal NPS obtained from the reformat images was impacted by the interpolation when compared to 2D coronal NPS obtained from 3D measurements. The noise properties of volume measured in last generation MDCTs was studied using local 3D NPS metric. However, impact of the non-stationarity noise effect may need further investigations.

Paper Details

Date Published: 15 March 2011
PDF: 12 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79610E (15 March 2011); doi: 10.1117/12.877809
Show Author Affiliations
Frédéric A. Miéville, Univ. Hospital Ctr. (Switzerland)
Univ. of Lausanne (Switzerland)
Gregory Bolard, Clinic of Genolier (Switzerland)
Mohamed Benkreira, Univ. Hospital Ctr. (Switzerland)
Univ. of Lausanne (Switzerland)
Paul Ayestaran, General Electric Medical Systems Europe (France)
François Gudinchet, Univ. Hospital Ctr. (Switzerland)
Univ. of Lausanne (Switzerland)
François Bochud, Univ. Hospital Ctr. (Switzerland)
Univ. of Lausanne (Switzerland)
Francis R. Verdun, Univ. Hospital Ctr. (Switzerland)
Univ. of Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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