Quantitative assessment of areal bone mineral density using multi-energy localizer radiographs from photon-counting detector CT.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL Physics in medicine and biology Pub Date : 2024-11-12 DOI:10.1088/1361-6560/ad8da1
Sören Jasper, Joseph Swicklik, Francis Baffour, Andrea Ferrero, Ahmed O El Sadaney, Elisabeth Shanblatt, Tristan Nowak, Cynthia McCollough, Kishore Rajendran
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Abstract

Objective.To assess the accuracy and stability of areal bone-mineral-density (aBMD) measurements from multi-energy CT localizer radiographs acquired using photon-counting detector (PCD) CT.Approach.A European Spine Phantom (ESP) with hydroxyapatite (HA 0.5, 1.0 and 1.5 g cm-2) was scanned using clinical PCD-CT and a dual-energy x-ray absorptiometry (DXA) to compare aBMD values. To assess aBMD stability and reproducibility, PCD-localizers were acquired twice a day for one week, and once per week for five weeks. Multiple ESP anteroposterior thicknesses (18, 26, 34, and 40 cm) were achieved using a synthetic gel layer and scanned across eight tube current values for both 120 kV (15-120 mA) and 140 kV (10-80 mA). One-way analysis of variance was performed for statistical significance (p< 0.05 considered significant). Quantitative HA and water maps were reconstructed using a prototype material-decomposition software, and aBMD was calculated after background correction.In vivoperformance of PCD-based aBMD was illustrated using a patient scan acquired at 140 kV and 40 mA, and lumbar aBMD values were compared with DXA.Main results.The ESP aBMD values from PCD-localizers demonstrated excellent day-to-day stability with a coefficient-of-variation ranging from 0.42% to 0.53%, with mean absolute percentage errors (MAPE) of less than 5% for all three vertebral bodies. The coefficient-of-variation for weekly scans ranged from 0.17% to 0.60%, again with MAPE below 5% for all three vertebral bodies. Across phantom sizes and tube currents, the MAPE values varied ranging from 1.84% to 13.78% for 120 kV, and 1.38%-9.11% for 140 kV. No significant difference was found between different tube currents. For the standard phantom size, DXA showed 11.21% MAPE whereas PCD-CT showed 3.04% MAPE. For the patient scan, deviation between PCD-based aBMD values and those obtained from DXA ranged from 0.07% to 9.82% for different lumbar vertebra.Significance.This study highlights the accuracy and stability of PCD-CT localizers for measuring aBMD. We demonstrated aBMD accuracy across different sizes and showed that higher radiation doses did not inherently increase aBMD accuracy.

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使用光子计数探测器 CT 的多能量定位器射线照片定量评估骨矿物质密度。
目的 评估使用光子计数探测器(PCD)CT 获取的多能 CT 定位器射线照片测量骨矿物质密度(aBMD)的准确性和稳定性。方法 使用临床 PCD-CT 和双能 X 射线吸收测量仪(DXA)扫描带有羟基磷灰石(HA 0.5、1.0 和 1.5 g/cm2)的欧洲脊柱模型(ESP),以比较 aBMD 值。为了评估 aBMD 的稳定性和可重复性,PCD-定位仪每天采集两次,持续一周;每周采集一次,持续五周。使用合成凝胶层模拟了多个模型的前胸厚度(18、26、34 和 40 厘米),并在 120 千伏(15-120 毫安)和 140 千伏(10-80 毫安)的八个管电流值之间进行扫描,然后进行单因素方差分析以确定统计显著性(P<0.05)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
期刊最新文献
Noise & mottle suppression methods for cumulative Cherenkov images of radiation therapy delivery. Quantitative assessment of areal bone mineral density using multi-energy localizer radiographs from photon-counting detector CT. TMAA-net: tensor-domain multi-planal anti-aliasing network for sparse-view CT image reconstruction. Imaging error reduction in radial cine-MRI with deep learning-based intra-frame motion compensation. Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imaging.
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