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

Kyojiro Nambu, Hiroshi Iseki

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)21-33
Number of pages13
JournalRivista di Neuroradiologia
Volume18
Issue number1
Publication statusPublished - 2005 Feb
Externally publishedYes

Fingerprint

Noise
Three-Dimensional Imaging
Magnetic Resonance Angiography
Single-Photon Emission-Computed Tomography
Angiography
Head
Single Photon Emission Computed Tomography Computed Tomography

Keywords

  • Cerebral blood flow
  • Image processing
  • Noise reduction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Radiological and Ultrasound Technology

Cite this

A noise reduction method based on a statistical test of high dimensional pixel vectors for dynamic and volumetric images. / Nambu, Kyojiro; Iseki, Hiroshi.

In: Rivista di Neuroradiologia, Vol. 18, No. 1, 02.2005, p. 21-33.

Research output: Contribution to journalArticle

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