A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone‐beam CT breast imaging

Gong, Xiaojin; Glick, Stephen J.; Liu, Bob; Vedula, Aruna A.; Thacker, Samta

doi:10.1118/1.2174127

Cited by 149 publications

(141 citation statements)

References 53 publications

Supporting

Mentioning

131

Contrasting

Unclassified

Order By: Relevance

“…In recent implementations of tomosynthesis for breast imaging, while the total dose delivered to the patient has varied between 0.75 and 1 times the standard procedure, the number of angular projections has varied between 11 and 25 with total angular span in the 30°−60°range. 3,10,29 Because of the flexibility in the ways the images may be captured in a multiprojection system, it is important that an optimum configuration of data acquisition components be selected to realize the full potential of such a system.…”

Section: Discussionmentioning

confidence: 99%

“…One particular multiprojection acquisition modality, digital breast tomosynthesis, has indeed been shown to provide improved diagnostic performance as compared to the standard projection procedures. 3 However, the tomosynthesis technique is prone to reconstruction artifacts, 4,5 which might reduce the efficiency of tomosynthesis reading, even leading to higher false positive findings. 6 Therefore, there would be an advantage in using an imaging technique that could fuse information from multiple images, similar to tomosynthesis, but without the confounding effects of the reconstruction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A mathematical model platform for optimizing a multiprojection breast imaging system

et al. 2008

View full text Add to dashboard Cite

Multiprojection imaging is a technique in which a plurality of digital radiographic images of the same patient are acquired within a short interval of time from slightly different angles. Information from each image is combined to determine the final diagnosis. Projection data are either reconstructed into slices as in the case of tomosynthesis or analyzed directly as in the case of multiprojection correlation imaging technique, thereby avoiding reconstruction artifacts. In this study, the authors investigated the optimum geometry of acquisitions of a multiprojection breast correlation imaging system in terms of the number of projections and their total angular span that yield maximum performance in a task that models clinical decision. Twenty-five angular projections of each breast from 82 human subjects in our breast tomosynthesis database were each supplemented with a simulated 3 mm mass. An approach based on Laguerre-Gauss channelized Hotelling observer was developed to assess the detectability of the mass in terms of receiver operating characteristic ͑ROC͒ curves. Two methodologies were developed to integrate results from individual projections into one combined ROC curve as the overall figure of merit. To optimize the acquisition geometry, different components of acquisitions were changed to investigate which one of the many possible configurations maximized the area under the combined ROC curve. Optimization was investigated under two acquisition dose conditions corresponding to a fixed total dose delivered to the patient and a variable dose condition, based on the number of projections used. In either case, the detectability was dependent on the number of projections used, the total angular span of those projections, and the acquisition dose level. In the first case, the detectability approximately followed a bell curve as a function of the number of projections with the maximum between 8 and 16 projections spanning angular arcs of about 23°−45°, respectively. In the second case, the detectability increased with the number of projections approaching an asymptote at 11-17 projections for an angular span of about 45°. These results indicate the inherent information content of the multiprojection image data reflecting the relative role of quantum and anatomical noise in multiprojection breast imaging. The optimization scheme presented here may be applied to any multiprojection imaging modalities and may be extended by including reconstruction in the case of digital breast tomosynthesis and breast computed tomography.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A mathematical model platform for optimizing a multiprojection breast imaging system

et al. 2008

View full text Add to dashboard Cite

show abstract

“…Comparison of the other viewing strategies (combined vs. BT or BT vs. DM) yielded no significant differences. In a computer simulation study, Gong et al [71] generated images with added lesions from a DM system and a BT system based on a model of a breast. The images were evaluated by five observers in an ROC study, and the authors found a significantly higher diagnostic performance (expressed as the area under the ROC curve) for BT than for DM.…”

Section: Technical Aspects Of Bt Image Volume Acquisitionmentioning

confidence: 99%

Digital mammography and tomosynthesis for breast cancer diagnosis

Tingberg

Zackrisson

2011

Expert Opinion on Medical Diagnostics

View full text Add to dashboard Cite

“…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

View full text Add to dashboard Cite

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.

show abstract

A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone‐beam CT breast imaging

Cited by 149 publications

References 53 publications

A mathematical model platform for optimizing a multiprojection breast imaging system

A mathematical model platform for optimizing a multiprojection breast imaging system

Digital mammography and tomosynthesis for breast cancer diagnosis

Optimized image acquisition for breast tomosynthesis in projection and reconstruction space

Contact Info

Product

Resources

About