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Multiple‐image radiography for human soft tissue
Author(s) -
Muehleman Carol,
Li Jun,
Zhong Zhong,
Brankov Jovan G.,
Wernick Miles N.
Publication year - 2006
Publication title -
journal of anatomy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.932
H-Index - 118
eISSN - 1469-7580
pISSN - 0021-8782
DOI - 10.1111/j.1469-7580.2006.00502.x
Subject(s) - radiography , refraction , computer science , visualization , attenuation , object (grammar) , computer vision , scattering , soft tissue , medical imaging , artificial intelligence , optics , conventional radiography , physics , medicine , radiology
Conventional radiography only provides a measure of the X‐ray attenuation caused by an object; thus, it is insensitive to other inherent informative effects, such as refraction. Furthermore, conventional radiographs are degraded by X‐ray scatter that can obscure important details of the object being imaged. The novel X‐ray technology diffraction‐enhanced imaging (DEI) has recently allowed the visualization of nearly scatter‐free images displaying both attenuation and refraction properties. A new method termed multiple‐image radiography (MIR) is a significant improvement over DEI, corrects errors in DEI, is more robust to noise and produces an additional image that is entirely new to medical imaging. This new image, which portrays ultra‐small‐angle X‐ray scattering (USAXS) conveys the presence of microstructure in the object, thus differentiating homogeneous tissues from tissues that are irregular on a scale of micrometres. The aim of this study was to examine the use of MIR for evaluation of soft tissue, and in particular to conduct a preliminary investigation of the USAXS image, which has not previously been used in tissue imaging.