Literature DB >> 10892246

Band-suppressed restoration of X-ray images blurred by body movement.

J Hori1, Y Saitoh, T Kiryu, K Okamoto, K Sakai.   

Abstract

The restoration of X-ray images that have been blurred due to body movement are discussed. The observation system for these images is described using a mathematical model, and several restoration filters composed of a series of such models are proposed. These filters restore band-suppressed approximations of the original images. In addition, redundancy is introduced into these restoration filters in order to suppress additive noise. These filters are expanded to be applicable not only to parallel translations, but also to rotations by coordinate transformation. The proposed methods are applied to blurred X-ray images of a bone model of the elbow joint. The parameters of the restoration filter are estimated using a marker attached to the subject as a reference signal.

Mesh:

Year:  2000        PMID: 10892246

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  1 in total

1.  Deep learning versus the human visual system for detecting motion blur in radiography.

Authors:  Rie Tanaka; Shiho Nozaki; Futa Goshima; Junji Shiraishi
Journal:  J Med Imaging (Bellingham)       Date:  2022-01-18
  1 in total

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