Literature DB >> 18072510

Soft-tissue detectability in cone-beam CT: evaluation by 2AFC tests in relation to physical performance metrics.

D J Tward1, J H Siewerdsen, M J Daly, S Richard, D J Moseley, D A Jaffray, N S Paul.   

Abstract

Soft-tissue detectability in cone-beam computed tomography (CBCT) was evaluated via two-alternative forced-choice (2AFC) tests. Investigations included the dependence of detectability on radiation dose, the influence of the asymmetric three-dimensional (3D) noise-power spectrum (NPS) in axial and sagittal or coronal planes, and the effect of prior knowledge on detectability. Custom-built phantoms (approximately 15 cm diameter cylinders) containing soft-tissue-simulating spheres of variable contrast and diameter were imaged on an experimental CBCT bench. The proportion of correct responses (Pcorr) in 2AFC tests was analyzed as a figure of merit, ideally equal to the area under the receiver operating characteristic curve. Pcorr was evaluated as a function of the sphere diameter (1.6-12.7 mm), contrast (20-165 HU), dose (1-7 mGy), plane of visualization (axial/sagittal), apodization filter (Hanning and Ram-Lak), and prior knowledge provided to the observer [ranging from stimulus known exactly (SKE) to stimulus unknown (SUK)]. Detectability limits were characterized in terms of the dose required to achieve a given level of Pcorr (e.g., 70%). For example, a 20 HU stimulus of diameter down to approximately 6 mm was detected with Pcorr 70% at dose > or =2 mGy. Detectability tended to be greater in axial than in sagittal planes, an effect amplified by sharper apodization filters in a manner consistent with 3D NPS asymmetry. Prior knowledge had a marked influence on detectability--e.g., Pcorr for a approximately 6 mm (20 HU) sphere was approximately 55%-65% under SUK conditions, compared to approximately 70%-85% for SKE conditions. Human observer tests suggest practical implications for implementation of CBCT: (i) Detectability limits help to define minimum-dose imaging techniques for specific imaging tasks; (ii) detectability of a given structure can vary between axial and sagittal/coronal planes, owing to the spatial-frequency content of the 3D NPS in relation to the imaging task; and (iii) performance under SKE conditions (e.g., image guidance tasks in which lesion characteristics are known) is maintained at a lower dose than in SUK conditions (e.g., diagnostic tasks in which lesion characteristics are unknown).

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Year:  2007        PMID: 18072510     DOI: 10.1118/1.2790586

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


  13 in total

1.  Cascaded systems analysis of the 3D noise transfer characteristics of flat-panel cone-beam CT.

Authors:  Daniel J Tward; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

2.  Noise power properties of a cone-beam CT system for breast cancer detection.

Authors:  Kai Yang; Alexander L C Kwan; Shih-Ying Huang; Nathan J Packard; John M Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

Review 3.  Anniversary paper. Development of x-ray computed tomography: the role of medical physics and AAPM from the 1970s to present.

Authors:  Xiaochuan Pan; Jeffrey Siewerdsen; Patrick J La Riviere; Willi A Kalender
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

4.  Bow-tie wobble artifact: effect of source assembly motion on cone-beam CT.

Authors:  Dandan Zheng; John C Ford; Jun Lu; Dimitrios Lazos; Geoffrey D Hugo; Damodar Pokhrel; Lisha Zhang; Jeffrey F Williamson
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

5.  Mobile C-arm cone-beam CT for guidance of spine surgery: image quality, radiation dose, and integration with interventional guidance.

Authors:  S Schafer; S Nithiananthan; D J Mirota; A Uneri; J W Stayman; W Zbijewski; C Schmidgunst; G Kleinszig; A J Khanna; J H Siewerdsena
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

Review 6.  Task-based measures of image quality and their relation to radiation dose and patient risk.

Authors:  Harrison H Barrett; Kyle J Myers; Christoph Hoeschen; Matthew A Kupinski; Mark P Little
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

7.  Aliased noise in X-ray CT images and band-limiting processing as a preventive measure.

Authors:  Kazuhiro Sato; Miho Shidahara; Mitsunori Goto; Isao Yanagawa; Noriyasu Homma; Issei Mori
Journal:  Radiol Phys Technol       Date:  2015-01-11

8.  Statistical reconstruction for cone-beam CT with a post-artifact-correction noise model: application to high-quality head imaging.

Authors:  H Dang; J W Stayman; A Sisniega; J Xu; W Zbijewski; X Wang; D H Foos; N Aygun; V E Koliatsos; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2015-07-30       Impact factor: 3.609

9.  Correlation between model observer and human observer performance in CT imaging when lesion location is uncertain.

Authors:  Shuai Leng; Lifeng Yu; Yi Zhang; Rickey Carter; Alicia Y Toledano; Cynthia H McCollough
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

10.  Prospective regularization design in prior-image-based reconstruction.

Authors:  Hao Dang; Jeffrey H Siewerdsen; J Webster Stayman
Journal:  Phys Med Biol       Date:  2015-11-25       Impact factor: 3.609

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