Literature DB >> 17985637

Optimal kvp selection for dual-energy imaging of the chest: evaluation by task-specific observer preference tests.

D B Williams1, J H Siewerdsen, D J Tward, N S Paul, A C Dhanantwari, N A Shkumat, S Richard, J Yorkston, R Van Metter.   

Abstract

Human observer performance tests were conducted to identify optimal imaging techniques in dual-energy (DE) imaging of the chest with respect to a variety of visualization tasks for soft and bony tissue. Specifically, the effect of kVp selection in low- and high-energy projection pairs was investigated. DE images of an anthropomorphic chest phantom formed the basis for observer studies, decomposed from low-energy and high-energy projections in the range 60-90 kVp and 120-150 kVp, respectively, with total dose for the DE image equivalent to that of a single chest radiograph. Five expert radiologists participated in observer preference tests to evaluate differences in image quality among the DE images. For visualization of soft-tissue structures in the lung, the [60/130] kVp pair provided optimal image quality, whereas [60/140] kVp proved optimal for delineation of the descending aorta in the retrocardiac region. Such soft-tissue detectability tasks exhibited a strong dependence on the low-kVp selection (with 60 kVp providing maximum soft-tissue conspicuity) and a weaker dependence on the high-kVp selection (typically highest at 130-140 kVp). Qualitative examination of DE bone-only images suggests optimal bony visualization at a similar technique, viz., [60/140] kVp. Observer preference was largely consistent with quantitative analysis of contrast, noise, and contrast-to-noise ratio, with subtle differences likely related to the imaging task and spatial-frequency characteristics of the noise. Observer preference tests offered practical, semiquantitative identification of optimal, task-specific imaging techniques and will provide useful guidance toward clinical implementation of high-performance DE imaging systems.

Entities:  

Mesh:

Year:  2007        PMID: 17985637     DOI: 10.1118/1.2776239

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  A novel phantom for characterization of dual energy imaging using an on-board imaging system.

Authors:  Maksat Haytmyradov; Rakesh Patel; Hassan Mostafavi; Murat Surucu; Adam Wang; Matthew M Harkenrider; John C Roeske
Journal:  Phys Med Biol       Date:  2019-01-21       Impact factor: 3.609

2.  Assessment of image quality in soft tissue and bone visualization tasks for a dedicated extremity cone-beam CT system.

Authors:  S Demehri; A Muhit; W Zbijewski; J W Stayman; J Yorkston; N Packard; R Senn; D Yang; D Foos; G K Thawait; L M Fayad; A Chhabra; J A Carrino; J H Siewerdsen
Journal:  Eur Radiol       Date:  2015-01-20       Impact factor: 5.315

3.  Evaluation of a template-based algorithm for markerless lung tumour localization on single- and dual-energy kilovoltage images.

Authors:  Alec M Block; Rakesh Patel; Murat Surucu; Matthew M Harkenrider; John C Roeske
Journal:  Br J Radiol       Date:  2016-10-12       Impact factor: 3.039

4.  Characterization and validation of the thorax phantom Lungman for dose assessment in chest radiography optimization studies.

Authors:  Sunay Rodríguez Pérez; Nicholas William Marshall; Lara Struelens; Hilde Bosmans
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-06

5.  Digital breast tomosynthesis: studies of the effects of acquisition geometry on contrast-to-noise ratio and observer preference of low-contrast objects in breast phantom images.

Authors:  Mitchell M Goodsitt; Heang-Ping Chan; Andrea Schmitz; Scott Zelakiewicz; Santosh Telang; Lubomir Hadjiiski; Kuanwong Watcharotone; Mark A Helvie; Chintana Paramagul; Colleen Neal; Emmanuel Christodoulou; Sandra C Larson; Paul L Carson
Journal:  Phys Med Biol       Date:  2014-09-11       Impact factor: 3.609

6.  Feasibility study of dual energy radiographic imaging for target localization in radiotherapy for lung tumors.

Authors:  Jie Huo; Xianfeng Zhu; Yang Dong; Zhiyong Yuan; Ping Wang; Xuemin Wang; Gang Wang; Xin-Hua Hu; Yuanming Feng
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.