Generalized image combinations in dual KVP digital radiography

TLDR

Dual energy basis decomposition techniques apply to single‑projection radiographic imaging. High‑ and low‑energy images are non‑linearly transformed to produce two energy‑independent basis images of Compton and photoelectric attenuation, whose linear combinations identify unknown materials, cancel known ones, synthesize monoenergetic images, and whose decomposition algorithms are compared with experimental images. The approach solves intervening material and displacement problems for a wide range of clinical imaging tasks, identifies a basis projection angle that defines energy‑selective imaging tasks with performance metrics such as contrast‑enhancement factor and signal‑to‑noise ratio expressed as functions of this angle, and demonstrates algorithmic comparisons with experimental images.

Abstract

Dual energy basis decomposition techniques apply to single projection radiographic imaging. The high and low energy images are non‐linearly transformed to generate two energy‐independent images characterizing the integrated Compton/photoelectric attenuation components. Characteristic linear combinations of these two basis images identify unknown materials, cancel known materials, and generate synthesized monoenergetic images. The problems of intervening materials and material displacement are solved in general for a wide class of clinical imaging tasks. The basis projection angle indentifies one from a family of energy selective imaging tasks, and such performance measures as the contrast enhancement factor (CEF) and signal to noise ratio (SNR) are expressed as functions of this angle. Algorithms for the decomposition of high and low energy measurements are compared and experimental images are included.