A noise reduction method based on a statistical test of high dimensional pixel vectors for dynamic and volumetric images

Kyojiro Nambu; H. Iseki

doi:10.1177/197140090501800103

A noise reduction method based on a statistical test of high dimensional pixel vectors for dynamic and volumetric images

Kyojiro Nambu^*, H. Iseki

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A noise reduction method applicable for dynamic and three-dimensional imaging modalities was evaluated. We applied our method to images obtained by CT, MRI, SPECT, angiography, and numerical phantom data, and measured the reduction of image noise. The standard deviation of the noise was reduced to 12-13% in a numerical dynamic phantom, 35-46% in dynamic CT, 19%-23% in a dynamic scintigram, 6-8% in dynamic SPECT, 13-15% in volumetric MRI of PVA resolution phantom, 12-17% in volumetric MRI of a PVA head phantom, and 50-53% in angiography of a moving phantom. The method reduced noise effectively, while spatial and temporal resolution remained satisfactory.

Original language	English
Pages (from-to)	21-33
Number of pages	13
Journal	Rivista di Neuroradiologia
Volume	18
Issue number	1
DOIs	https://doi.org/10.1177/197140090501800103
Publication status	Published - 2005 Feb

Keywords

Cerebral blood flow
Image processing
Noise reduction

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Clinical Neurology

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10.1177/197140090501800103

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AU - Iseki, H.

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N2 - A noise reduction method applicable for dynamic and three-dimensional imaging modalities was evaluated. We applied our method to images obtained by CT, MRI, SPECT, angiography, and numerical phantom data, and measured the reduction of image noise. The standard deviation of the noise was reduced to 12-13% in a numerical dynamic phantom, 35-46% in dynamic CT, 19%-23% in a dynamic scintigram, 6-8% in dynamic SPECT, 13-15% in volumetric MRI of PVA resolution phantom, 12-17% in volumetric MRI of a PVA head phantom, and 50-53% in angiography of a moving phantom. The method reduced noise effectively, while spatial and temporal resolution remained satisfactory.

AB - A noise reduction method applicable for dynamic and three-dimensional imaging modalities was evaluated. We applied our method to images obtained by CT, MRI, SPECT, angiography, and numerical phantom data, and measured the reduction of image noise. The standard deviation of the noise was reduced to 12-13% in a numerical dynamic phantom, 35-46% in dynamic CT, 19%-23% in a dynamic scintigram, 6-8% in dynamic SPECT, 13-15% in volumetric MRI of PVA resolution phantom, 12-17% in volumetric MRI of a PVA head phantom, and 50-53% in angiography of a moving phantom. The method reduced noise effectively, while spatial and temporal resolution remained satisfactory.

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KW - Image processing

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A noise reduction method based on a statistical test of high dimensional pixel vectors for dynamic and volumetric images

Abstract

Keywords

ASJC Scopus subject areas

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