Abstract

BackgroundImage artifacts affect the quality of medical images and may obscure anatomic structure and pathology. Numerous methods for suppression and correction of scattered image artifacts have been suggested in the past three decades. In this paper, we assessed the feasibility of use of information on scattered artifacts for estimation of bone mineral density (BMD) without dual-energy X-ray absorptiometry (DXA) or quantitative computed tomographic imaging (QCT).MethodsTo investigate the relationship between scattered image artifacts and BMD, we first used a forearm phantom and cone-beam computed tomography. In the phantom, we considered two regions of interest—bone-equivalent solid material containing 50 mg HA per cm−3 and water—to represent low- and high-density trabecular bone, respectively. We compared the scattered image artifacts in the high-density material with those in the low-density material. The technique was then applied to osteoporosis patients and healthy subjects to assess its feasibility for BMD estimation.ResultsThe high-density material produced a greater number of scattered image artifacts than the low-density material. Moreover, the radius and ulna of healthy subjects produced a greater number of scattered image artifacts than those from osteoporosis patients.ConclusionsAlthough other parameters, such as bone thickness and X-ray incidence, should be considered, our technique facilitated BMD estimation directly without DXA or QCT. We believe that BMD estimation based on assessment of scattered image artifacts may benefit the prevention, early treatment and management of osteoporosis.

Highlights

  • Image artifacts affect the quality of medical images and may obscure anatomic structure and pathology

  • Medical image artifacts are commonly encountered in medical imaging by X-ray computed tomography (CT), ultrasonography and magnetic resonance imaging (MRI)

  • This study focused on scattered image artifacts from cone-beam computed tomography (CBCT)

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Summary

Introduction

Image artifacts affect the quality of medical images and may obscure anatomic structure and pathology. Numerous methods for suppression and correc‐ tion of scattered image artifacts have been suggested in the past three decades. Medical image artifacts are commonly encountered in medical imaging by X-ray computed tomography (CT), ultrasonography and magnetic resonance imaging (MRI). Such artifacts affect image quality and may obscure anatomic structure and pathology (Anas et al 2011; Boas and Fleischmann 2012). Numerous methods for suppression and correction of scattered image artifacts have been suggested in the past three decades (Ogawa et al 1991; Ohnesorge et al 1999; Siewerdsen et al 2006; Sun et al 2011). The complete correction of scattered image artifacts in CT images remains a challenge

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