Literature DB >> 19175091

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

Kai Yang1, Alexander L C Kwan, Shih-Ying Huang, Nathan J Packard, John M Boone.   

Abstract

The noise power properties of a cone-beam computed tomography (CT) system dedicated for breast cancer detection were investigated. Uniform polyethylene cylinders of various diameters were scanned under different system acquisition conditions. Noise power spectra were calculated from difference data generated by subtraction between two identical scans. Multidimensional noise power spectra (NPS) were used as the metric to evaluate the noise properties of the breast CT (bCT) under different system acquisition and reconstruction conditions. A comprehensive investigation of the noise properties was performed in regard to system acquisition parameters including kVp, mA, number of cone-beam projection images used, cone angle, and object size. The influence on reconstruction parameters including interpolation method, reconstruction filter, field of view, matrix size, and slice thickness were also studied. Under certain conditions, the zero-dimensional NPS (image variance) was used as a quantitative index to compare the influence from different scan parameters, especially the radiation dose. If the total scan dose is changed by linearly changing the total number of projection images while the dose per frame is kept constant, the noise power has a linear relationship with the reciprocal of the total dose. If the total scan dose is changed by linearly changing the dose per frame while the total number of projection images is kept constant, the noise power has a quadratic relationship with the reciprocal of the total dose. With the same amount of total dose, using fewer projection images results in lower image noise power in the CT image. Quantitative results from this noise power analysis provide guidance for the bCT system operation, optimization, and data reconstruction.

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Year:  2008        PMID: 19175091      PMCID: PMC2736717          DOI: 10.1118/1.3002411

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


  32 in total

1.  Dedicated breast CT: radiation dose and image quality evaluation.

Authors:  J M Boone; T R Nelson; K K Lindfors; J A Seibert
Journal:  Radiology       Date:  2001-12       Impact factor: 11.105

2.  Determination of the presampled MTF in computed tomography.

Authors:  J M Boone
Journal:  Med Phys       Date:  2001-03       Impact factor: 4.071

3.  A cone-beam volume CT using a 3D angiography system with a flat panel detector of direct conversion type: usefulness for superselective intra-arterial chemotherapy for head and neck tumors.

Authors:  S Kakeda; Y Korogi; Y Miyaguni; J Moriya; N Ohnari; N Oda; K Nishino; W Miyamoto
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-20       Impact factor: 3.825

4.  Commissioning and clinical implementation of a mega-voltage cone beam CT system for treatment localization.

Authors:  Olivier Gayou; Moyed Miften
Journal:  Med Phys       Date:  2007-08       Impact factor: 4.071

Review 5.  An outlook on x-ray CT research and development.

Authors:  Ge Wang; Hengyong Yu; Bruno De Man
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

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

Authors:  D J Tward; J H Siewerdsen; M J Daly; S Richard; D J Moseley; D A Jaffray; N S Paul
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

7.  A cone beam CT-Based Study for Clinical Target Definition Using Pelvic Anatomy During Postprostatectomy Radiotherapy.

Authors:  Timothy N Showalter; A Omer Nawaz; Ying Xiao; James M Galvin; Richard K Valicenti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-09-14       Impact factor: 7.038

8.  Cone-beam volume CT breast imaging: feasibility study.

Authors:  Biao Chen; Ruola Ning
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

9.  Cone-beam CT localization of internal target volumes for stereotactic body radiotherapy of lung lesions.

Authors:  Zhiheng Wang; Q Jackie Wu; Lawrence B Marks; Nicole Larrier; Fang-Fang Yin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-12-01       Impact factor: 7.038

10.  Dedicated breast CT: initial clinical experience.

Authors:  Karen K Lindfors; John M Boone; Thomas R Nelson; Kai Yang; Alexander L C Kwan; DeWitt F Miller
Journal:  Radiology       Date:  2008-01-14       Impact factor: 11.105

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  21 in total

1.  Noise variance analysis using a flat panel x-ray detector: a method for additive noise assessment with application to breast CT applications.

Authors:  Kai Yang; Shih-Ying Huang; Nathan J Packard; John M Boone
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

2.  Noise aliasing and the 3D NEQ of flat-panel cone-beam CT: effect of 2D/3D apertures and sampling.

Authors:  Daniel J Tward; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

3.  Local and global 3D noise power spectrum in cone-beam CT system with FDK reconstruction.

Authors:  Jongduk Baek; Norbert J Pelc
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

4.  Evolution of spatial resolution in breast CT at UC Davis.

Authors:  Peymon M Gazi; Kai Yang; George W Burkett; Shadi Aminololama-Shakeri; J Anthony Seibert; John M Boone
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

5.  Comprehensive assessment of the slice sensitivity profiles in breast tomosynthesis and breast CT.

Authors:  Anita Nosratieh; Kai Yang; Shadi Aminololama-Shakeri; John M Boone
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

6.  A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom.

Authors:  Saul N Friedman; George S K Fung; Jeffrey H Siewerdsen; Benjamin M W Tsui
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

7.  Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies.

Authors:  Lin Chen; Craig K Abbey; Anita Nosratieh; Karen K Lindfors; John M Boone
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

8.  Task-based optimization of dedicated breast CT via Hotelling observer metrics.

Authors:  Adrian A Sanchez; Emil Y Sidky; Xiaochuan Pan
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

9.  Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities.

Authors:  Lin Chen; Craig K Abbey; John M Boone
Journal:  Phys Med Biol       Date:  2013-02-19       Impact factor: 3.609

10.  Temporal subtraction contrast-enhanced dedicated breast CT.

Authors:  Peymon M Gazi; Shadi Aminololama-Shakeri; Kai Yang; John M Boone
Journal:  Phys Med Biol       Date:  2016-08-05       Impact factor: 3.609

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