Literature DB >> 19994493

Optimized image acquisition for breast tomosynthesis in projection and reconstruction space.

Amarpreet S Chawla1, Joseph Y Lo, Jay A Baker, Ehsan Samei.   

Abstract

Breast tomosynthesis has been an exciting new development in the field of breast imaging. While the diagnostic improvement via tomosynthesis is notable, the full potential of tomosynthesis has not yet been realized. This may be attributed to the dependency of the diagnostic quality of tomosynthesis on multiple variables, each of which needs to be optimized. Those include dose, number of angular projections, and the total angular span of those projections. In this study, the authors investigated the effects of these acquisition parameters on the overall diagnostic image quality of breast tomosynthesis in both the projection and reconstruction space. Five mastectomy specimens were imaged using a prototype tomosynthesis system. 25 angular projections of each specimen were acquired at 6.2 times typical single-view clinical dose level. Images at lower dose levels were then simulated using a noise modification routine. Each projection image was supplemented with 84 simulated 3 mm 3D lesions embedded at the center of 84 nonoverlapping ROIs. The projection images were then reconstructed using a filtered backprojection algorithm at different combinations of acquisition parameters to investigate which of the many possible combinations maximizes the performance. Performance was evaluated in terms of a Laguerre-Gauss channelized Hotelling observer model-based measure of lesion detectability. The analysis was also performed without reconstruction by combining the model results from projection images using Bayesian decision fusion algorithm. The effect of acquisition parameters on projection images and reconstructed slices were then compared to derive an optimization rule for tomosynthesis. The results indicated that projection images yield comparable but higher performance than reconstructed images. Both modes, however, offered similar trends: Performance improved with an increase in the total acquisition dose level and the angular span. Using a constant dose level and angular span, the performance rolled off beyond a certain number of projections, indicating that simply increasing the number of projections in tomosynthesis may not necessarily improve its performance. The best performance for both projection images and tomosynthesis slices was obtained for 15-17 projections spanning an angular are of approximately 45 degrees--the maximum tested in our study, and for an acquisition dose equal to single-view mammography. The optimization framework developed in this framework is applicable to other reconstruction techniques and other multiprojection systems.

Mesh:

Year:  2009        PMID: 19994493      PMCID: PMC2773452          DOI: 10.1118/1.3231814

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


  19 in total

1.  Estimation of the noisy component of anatomical backgrounds.

Authors:  F O Bochud; J F Valley; F R Verdun; C Hessler; P Schnyder
Journal:  Med Phys       Date:  1999-07       Impact factor: 4.071

Review 2.  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

3.  A method for modifying the image quality parameters of digital radiographic images.

Authors:  Robert S Saunders; Ehsan Samei
Journal:  Med Phys       Date:  2003-11       Impact factor: 4.071

4.  Validating the use of channels to estimate the ideal linear observer.

Authors:  Brandon D Gallas; Harrison H Barrett
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-09       Impact factor: 2.129

5.  A computer simulation platform for the optimization of a breast tomosynthesis system.

Authors:  Jun Zhou; Bo Zhao; Wei Zhao
Journal:  Med Phys       Date:  2007-03       Impact factor: 4.071

6.  Objective assessment of image quality: effects of quantum noise and object variability.

Authors:  H H Barrett
Journal:  J Opt Soc Am A       Date:  1990-07       Impact factor: 2.129

7.  Digital tomosynthesis in breast imaging.

Authors:  L T Niklason; B T Christian; L E Niklason; D B Kopans; D E Castleberry; B H Opsahl-Ong; C E Landberg; P J Slanetz; A A Giardino; R Moore; D Albagli; M C DeJule; P F Fitzgerald; D F Fobare; B W Giambattista; R F Kwasnick; J Liu; S J Lubowski; G E Possin; J F Richotte; C Y Wei; R F Wirth
Journal:  Radiology       Date:  1997-11       Impact factor: 11.105

8.  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

9.  Importance of point-by-point back projection correction for isocentric motion in digital breast tomosynthesis: relevance to morphology of structures such as microcalcifications.

Authors:  Ying Chen; Joseph Y Lo; James T Dobbins
Journal:  Med Phys       Date:  2007-10       Impact factor: 4.071

10.  Towards optimized acquisition scheme for multiprojection correlation imaging of breast cancer.

Authors:  Amarpreet S Chawla; Robert S Saunders; Swatee Singh; Joseph Y Lo; Ehsan Samei
Journal:  Acad Radiol       Date:  2009-04       Impact factor: 3.173

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  22 in total

1.  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

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

Authors:  I Reiser; R M Nishikawa
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

3.  A novel approach to digital breast tomosynthesis for simultaneous acquisition of 2D and 3D images.

Authors:  Sara Vecchio; Achille Albanese; Paolo Vignoli; Angelo Taibi
Journal:  Eur Radiol       Date:  2010-12-31       Impact factor: 5.315

4.  A dual-view digital tomosynthesis imaging technique for improved chest imaging.

Authors:  Yuncheng Zhong; Chao-Jen Lai; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

5.  Penalized maximum likelihood reconstruction for improved microcalcification detection in breast tomosynthesis.

Authors:  Mini Das; Howard C Gifford; J Michael O'Connor; Stephen J Glick
Journal:  IEEE Trans Med Imaging       Date:  2010-10-28       Impact factor: 10.048

6.  Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.

Authors:  Rongping Zeng; Aldo Badano; Kyle J Myers
Journal:  Phys Med Biol       Date:  2017-02-02       Impact factor: 3.609

Review 7.  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

Review 8.  A review of breast tomosynthesis. Part I. The image acquisition process.

Authors:  Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

9.  Dependency of image quality on system configuration parameters in a stationary digital breast tomosynthesis system.

Authors:  Andrew W Tucker; Jianping Lu; Otto Zhou
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

10.  Optimization of configuration parameters in a newly developed digital breast tomosynthesis system.

Authors:  Hye-Suk Park; Ye-Seul Kim; Hee-Joung Kim; Young-Wook Choi; Jae-Gu Choi
Journal:  J Radiat Res       Date:  2013-12-01       Impact factor: 2.724

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