Literature DB >> 20443480

Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise.

I Reiser1, R M Nishikawa.   

Abstract

PURPOSE: Tomosynthesis is a promising modality for breast imaging. The appearance of the tomosynthesis reconstructed image is greatly affected by the choice of acquisition and reconstruction parameters. The purpose of this study was to investigate the limitations of tomosynthesis breast imaging due to scan parameters and quantum noise. Tomosynthesis image quality was assessed based on performance of a mathematical observer model in a signal-known exactly (SKE) detection task.
METHODS: SKE detectability (d') was estimated using a prewhitening observer model. Structured breast background was simulated using filtered noise. Detectability was estimated for designer nodules ranging from 0.05 to 0.8 cm in diameter. Tomosynthesis slices were reconstructed using iterative maximum-likelihood expectation-maximization. The tomosynthesis scan angle was varied between 15 degrees and 60 degrees, the number of views between 11 and 41 and the total number of x-ray quanta was infinity, 6 X 10(5), and 6 x 10(4). Detectability in tomosynthesis was compared to that in a single projection.
RESULTS: For constant angular sampling distance, increasing the angular scan range increased detectability for all signal sizes. Large-scale signals were little affected by quantum noise or angular sampling. For small-scale signals, quantum noise and insufficient angular sampling degraded detectability. At high quantum noise levels, angular step size of 3 degrees or below was sufficient to avoid image degradation. At lower quantum noise levels, increased angular sampling always resulted in increased detectability. The ratio of detectability in the tomosynthesis slice to that in a single projection exhibited a peak that shifted to larger signal sizes when the angular range increased. For a given angular range, the peak shifted toward smaller signals when the number of views was increased. The ratio was greater than unity for all conditions evaluated.
CONCLUSION: The effect of acquisition parameters on lesion detectability depends on signal size. Tomosynthesis scan angle had an effect on detectability for all signals sizes, while quantum noise and angular sampling only affected the detectability small-scale signals.

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Year:  2010        PMID: 20443480      PMCID: PMC2852443          DOI: 10.1118/1.3357288

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


  26 in total

1.  Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds.

Authors:  F O Bochud; C K Abbey; M P Eckstein
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2000-02       Impact factor: 2.129

2.  Monte Carlo validation in diagnostic radiological imaging.

Authors:  J M Boone; M H Buonocore; V N Cooper
Journal:  Med Phys       Date:  2000-06       Impact factor: 4.071

Review 3.  Digital x-ray tomosynthesis: current state of the art and clinical potential.

Authors:  James T Dobbins; Devon J Godfrey
Journal:  Phys Med Biol       Date:  2003-10-07       Impact factor: 3.609

4.  A comparison of reconstruction algorithms for breast tomosynthesis.

Authors:  Tao Wu; Richard H Moore; Elizabeth A Rafferty; Daniel B Kopans
Journal:  Med Phys       Date:  2004-09       Impact factor: 4.071

5.  Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.

Authors:  Hui Li; Maryellen L Giger; Olufunmilayo I Olopade; Michael R Chinander
Journal:  J Digit Imaging       Date:  2008-01-03       Impact factor: 4.056

6.  Three-dimensional linear system analysis for breast tomosynthesis.

Authors:  Bo Zhao; Wei Zhao
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

7.  Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms.

Authors:  Emil Y Sidky; Xiaochuan Pan; Ingrid S Reiser; Robert M Nishikawa; Richard H Moore; Daniel B Kopans
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

8.  Tomographic mammography using a limited number of low-dose cone-beam projection images.

Authors:  Tao Wu; Alexander Stewart; Martin Stanton; Thomas McCauley; Walter Phillips; Daniel B Kopans; Richard H Moore; Jeffrey W Eberhard; Beale Opsahl-Ong; Loren Niklason; Mark B Williams
Journal:  Med Phys       Date:  2003-03       Impact factor: 4.071

9.  X-ray characterisation of normal and neoplastic breast tissues.

Authors:  P C Johns; M J Yaffe
Journal:  Phys Med Biol       Date:  1987-06       Impact factor: 3.609

10.  Human observer detection experiments with mammograms and power-law noise.

Authors:  A E Burgess; F L Jacobson; P F Judy
Journal:  Med Phys       Date:  2001-04       Impact factor: 4.071

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  54 in total

1.  Optimized generation of high resolution breast anthropomorphic software phantoms.

Authors:  David D Pokrajac; Andrew D A Maidment; Predrag R Bakic
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Image quality of microcalcifications in digital breast tomosynthesis: effects of projection-view distributions.

Authors:  Yao Lu; Heang-Ping Chan; Jun Wei; Mitch Goodsitt; Paul L Carson; Lubomir Hadjiiski; Andrea Schmitz; Jeffrey W Eberhard; Bernhard E H Claus
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

3.  On the orientation of mammographic structure.

Authors:  I Reiser; S Lee; R M Nishikawa
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

4.  Task-based modeling and optimization of a cone-beam CT scanner for musculoskeletal imaging.

Authors:  P Prakash; W Zbijewski; G J Gang; Y Ding; J W Stayman; J Yorkston; J A Carrino; J H Siewerdsen
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

5.  Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.

Authors:  Cynthia H McCollough; Guang Hong Chen; Willi Kalender; Shuai Leng; Ehsan Samei; Katsuyuki Taguchi; Ge Wang; Lifeng Yu; Roderic I Pettigrew
Journal:  Radiology       Date:  2012-06-12       Impact factor: 11.105

6.  A statistically defined anthropomorphic software breast phantom.

Authors:  Beverly A Lau; Ingrid Reiser; Robert M Nishikawa; Predrag R Bakic
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

Review 7.  [Digital breast tomosynthesis : technical principles, current clinical relevance and future perspectives].

Authors:  K Hellerhoff
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

8.  Use of the Hotelling observer to optimize image reconstruction in digital breast tomosynthesis.

Authors:  Adrian A Sánchez; Emil Y Sidky; Xiaochuan Pan
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-22

9.  Investigating simulation-based metrics for characterizing linear iterative reconstruction in digital breast tomosynthesis.

Authors:  Sean D Rose; Adrian A Sanchez; Emil Y Sidky; Xiaochuan Pan
Journal:  Med Phys       Date:  2017-09       Impact factor: 4.071

10.  Synthetic breast phantoms from patient based eigenbreasts.

Authors:  Gregory M Sturgeon; Subok Park; William Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2017-10-19       Impact factor: 4.071

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