Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis

Reiser, Ingrid; Lau, Beverly; Nishikawa, Robert M.

doi:10.1007/978-3-540-70538-3_84

Cited by 6 publications

(9 citation statements)

References 5 publications

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“…The number of angular projections has varied between 11 and 25 within a total angular span in the 30°-60°r ange. [6][7][8] While tomosynthesis optimization has also been approached in some recent studies, 5,[9][10][11][12] thus far, no framework has been developed for complete optimization of the acquisition scheme.…”

Section: Introductionmentioning

confidence: 99%

Optimized image acquisition for breast tomosynthesis in projection and reconstruction space

Chawla

Baker

et al. 2009

Medical Physics

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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 arc of ϳ45°-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.

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Section: Introductionmentioning

confidence: 99%

Optimized image acquisition for breast tomosynthesis in projection and reconstruction space

Chawla

Baker

et al. 2009

Medical Physics

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“…Advances in electronics and computer technology have led to the development of digital image receptors and displays (2). New image processing techniques, advanced applications such as energy and temporal subtraction radiography (3, 4), digital tomosynthesis (5-7), and computer-assisted detection and diagnosis (8, 9) promise to substantially improve on the performance of conventional chest radiography (1). …”

Section: Challenges In Chest Imagingmentioning

confidence: 99%

Chest tomosynthesis: Technical principles and clinical update

Dobbins¹,

McAdams²

2009

European Journal of Radiology

138

100

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Digital tomosynthesis is a radiographic technique that can produce an arbitrary number of section images of a patient from a single pass of the x-ray tube. It utilizes a conventional x-ray tube, a flat-panel detector, a computer-controlled tube mover, and special reconstruction algorithms to produce section images. While it does not have the depth resolution of computed tomography (CT), tomosynthesis provides some of the tomographic benefits of CT but at lower cost and radiation dose than CT. Compared to conventional chest radiography, chest tomosynthesis results in improved visibility of normal structures such as vessels, airway and spine. By reducing visual clutter from overlying normal anatomy, it also enhances detection of small lung nodules. This review article outlines the components of a tomosynthesis system, discusses results regarding improved lung nodule detection from the recent literature, and presents examples of nodule detection from a clinical trial in human subjects. Possible implementation strategies for use in clinical chest imaging are discussed.

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“…We focus on two tasks in this work: the detection of microcalcifications, small deposits of calcium which can indicate malignancy, and the detection of small low-contrast disks, intended to mimic subtle lesions. Previous work by others has investigated the use of the HO for optimization of DBT acquisition parameters, [6][7][8][9] benchmarking DBT acquisition relative to mammography, 8,10 and, similar to this work, exploring the impact of image reconstruction. 6,11 Often, the HO's performance for a given task is estimated using a collection of sample images, resulting in statistically variable estimates of the HO's figure of merit.…”

Section: Introductionmentioning

confidence: 97%

“…Previous work by others has investigated the use of the HO for optimization of DBT acquisition parameters, [6][7][8][9] benchmarking DBT acquisition relative to mammography, 8,10 and, similar to this work, exploring the impact of image reconstruction. 6,11 Often, the HO's performance for a given task is estimated using a collection of sample images, resulting in statistically variable estimates of the HO's figure of merit. Since we wish to perform optimization of several reconstruction parameters, for efficiency, we construct an approximation of HO performance which does not rely on samples of noisy images, and is therefore nonstochastic.…”

Section: Introductionmentioning

confidence: 97%

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

2015

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Abstract. We propose an implementation of the Hotelling observer that can be applied to the optimization of linear image reconstruction algorithms in digital breast tomosynthesis. The method is based on considering information within a specific region of interest, and it is applied to the optimization of algorithms for detectability of microcalcifications. Several linear algorithms are considered: simple back-projection, filtered back-projection, back-projection filtration, and Λ-tomography. The optimized algorithms are then evaluated through the reconstruction of phantom data. The method appears robust across algorithms and parameters and leads to the generation of algorithm implementations which subjectively appear optimized for the task of interest.

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Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis

Cited by 6 publications

References 5 publications

Optimized image acquisition for breast tomosynthesis in projection and reconstruction space

Optimized image acquisition for breast tomosynthesis in projection and reconstruction space

Chest tomosynthesis: Technical principles and clinical update

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

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