Literature DB >> 19577872

Temporal subtraction chest radiography.

Heber MacMahon1, Samuel G Armato.   

Abstract

Radiologist are commonly required to compare a sequence of two or more chest radiographs of a given patient obtained over a period of time, which may range from a few hours to many years. In such cases, the task is one of detecting interval change. In the case of patients who have had a previous chest radiograph, an opportunity exists to enhance selectively areas of interval change, including regions with new or altered pathology, by using the previous radiographs as a subtraction mask. With temporal subtraction, the previous image is superimposed and registered with the current image, using automated two-dimensional warping to compensate for any differences in positioning. A "difference image" is then created, by subtracting the previous from the current radiograph. In this temporal subtraction image, areas that are unchanged appear as uniform gray, while regions of new opacity, such as due to pneumonia or cancer, appear as prominent dark foci on a lighter background. By cancelling out the complex anatomical background, temporal subtraction can provide dramatically enhanced visibility of new areas of disease.

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Year:  2009        PMID: 19577872     DOI: 10.1016/j.ejrad.2009.05.059

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Deformable image registration for temporal subtraction of chest radiographs.

Authors:  Min Li; Edward Castillo; Hong-Yan Luo; Xiao-Lin Zheng; Richard Castillo; Dmitriy Meshkov; Thomas Guerrero
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07       Impact factor: 2.924

Review 2.  [Conventional and CT diagnostics of bronchial carcinoma].

Authors:  C Schaefer-Prokop
Journal:  Radiologe       Date:  2010-08       Impact factor: 0.635

3.  Image perception and interpretation of abnormalities; can we believe our eyes? Can we do something about it?

Authors:  Durr-E- Sabih; Ayan Sabih; Quratulain Sabih; Ali N Khan
Journal:  Insights Imaging       Date:  2010-10-24
  3 in total

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