Digital breast tomosynthesis observer performance study

Several technical modifications have been made to mammography since evolving from xeromammography to the development of screen-film mammography and full-field digital mammography FFDMand now digital breast tomosynthesis DBT. Digital breast tomosynthesis continues to expand in clinical practice. The established sensitivity and specificity of screening mammography are Tomosynthesis is the newest development in hopes of improving these numbers.

Digital breast tomosynthesis observer performance study

The three algorithms were implemented using a DBT system and experimentally evaluated using measurements, such as signal difference- to-noise ratio SDNR and intensity profile, on a BR3D phantom in-focus plane image. The possible radiation dose reduction, contrast improvement, and artifact reduction in DBT were evaluated using different exposure levels and the three reconstruction techniques.

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We performed statistical analysis one-way analysis of variance of the SDNR data. Introduction Tomosynthesis is a limited-angle image reconstruction method where a dataset of projections acquired at regular intervals during a single acquisition pass is used to reconstruct planar sections post priori.

Tomosynthesis also provides the additional benefits of digital imaging [1] [2] as well as the tomographic benefits of computed tomography at decreased radiation doses and lower costs, using an approach that can easily be implemented in conjunction with radiography.

Digital breast tomosynthesis DBT is a promising technique for improving early detection rates of breast cancer [2] [3] because it can provide three-dimensional 3D structural information by reconstructing an entire image volume from a sequence of projection-view mammograms acquired at a small number of projection angles over a limited angular range; the total radiation dose is comparable with that used during conventional mammography screening.

DBT has been shown to decrease the camouflaging effect of the overlapping fibroglandular breast tissue [4]thereby improving the conspicuity of subtle lesions. Several digital mammography-based DBT systems have been developed [5]and preliminary clinical studies are under way [2] [6].

FBP [7] and statistical iterative reconstruction IR algorithm maximum likelihood expectation maximization: The author concluded that MLEM algorithm provided a good balance of image quality between the low and high frequency features [3].

In another report, various DBT reconstruction methods have been explored previously [7] -[9]. In fact, to date, one study has quantitatively compared DBT algorithms in terms of image quality and radiation doses [10]. In this report, IR was found to effectively decrease quantum noise and radiation exposure.

However, this report was evaluated with a limited experiment [FBP vs. We evaluated and compared the characteristics of the reconstructed images and the possible reduction in the radiation dose associated with MLEM, and SIRT algorithms.

Materials and Methods 2.

Digital breast tomosynthesis observer performance study

Tomography was performed using a linear tomographic movement, with a total acquisition time 3. Projection images were sampled during a single tomographic pass 15 projections and were used to reconstruct tomograms of a desired height.

The reconstructed images 0. The distance between the source and the detector was mm Figure 1. For tomosynthesis acquisition, the BR3D phantom was arranged parallel to the detector plane. The Reconstruction Algorithm Two-dimensional 2D image filtering via multiplication of the Fourier transform by means of a Ramp or Shepp-Logan SL filter kernel restores the proper impulse shape for the reconstructed image.

The FBP algorithm generally provides highly precise 3D reconstruction images [7]. IR algorithms perform reconstruction recursively [8] [9]unlike the one-step operation used in back projection and FBP algorithms.

Instead, reconstruction is accomplished by iteratively updating unknown linear attenuation coefficients by minimizing the error between the measured and calculated projection data.

The original method in this family of algebraic reconstruction techniques ARTs [11] has already been determined.

Digital Breast Tomosynthesis Reduced Recall Rate 30 Percent | Imaging Technology News

ART features fast convergence speed because only a single projection value is used to update linear attenuation coefficients at a given time point, but it converges to a least-squares solution that can result in considerable noise when severely ill-posed inverse problems, such as limited-angle reconstruction, are being solved.Digital breast tomosynthesis (DBT) is a promising new technology.

Some experimental clinical studies have shown positive results, but the future role and indications of this new technique, whether in a screening or clinical setting, need to be evaluated.

To compare digital mammography and DBT in a. OBJECTIVE: The purpose of this study was to compare in a retrospective observer study the diagnostic performance of full-field digital mammography (FFDM) with that of digital breast tomosynthesis.

MATERIALS AND METHODS: Eight experienced radiologists interpreted images from selected examinations, 35 with verified . Digital Mammography and Digital Breast Tomosynthesis.

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Digital Breast Tomosynthesis: Update and Pearls for Implementation Emily F. Conant, M.D. improved performance of DM/DBT screening: Retrospective Reading Study (TOMMY Trial) • Multicenter/reader, retrospective study • Dataset of cases. Dense Breast Digital Mammography Digital Breast Tomosynthesis Cancer Detection Rate Digital Mammogram These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves. Gur D, Adams GS & Chough DM et al. Digital breast tomosynthesis: observer performance study. AM J Roentgenol Teertstra HJ, Loo CE, van den Bosch MA et al. Breast tomosynthesis in clinical practice: initial results.

found a lower sensitivity at a comparable specificity in an early study evaluating the performance of the synthesized 2D images in relation to standard 2D mammography images.

These and other observer performance methods have been described in more detail elsewhere [ Purpose To assess whether individual reader performance with digital breast tomosynthesis (DBT) and two-dimensional (2D) mammography varies with number of years of experience or volume of 2D mammograms read.

Digital Breast Tomosynthesis: Observer Performance of Clustered Microcalcification Detection on Breast Phantom Images Acquired with an Experimental System Using Variable Scan Angles, Angular. multimode observer performance study. Materials and Methods General Study Design digital breast tomosynthesis–based image sets as compared with FFDM.

The time to review (p > ) primarily because of the small sample size in this pilot study, suggesting that showing significant improvements in diagnosis, if any, will require a .

Digital breast tomosynthesis: observer performance study.