Impact of image acquisition timing on image quality for dual energy contrast-enhanced breast tomosynthesis

Hill, Melissa L.; Mainprize, James G.; Puong, Sylvie; Carton, Ann-Katherine; Iordache, Răzvan; Muller, Serge; Yaffe, Martin J.

doi:10.1117/12.911627

Cited by 4 publications

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“…12 The rate of change of the iodine concentration would affect the relative iodine content between LE and HE image acquisitions (30 s apart), and the potential for signal suppression in the DE subtracted images. 42 Consequently, there may be less cancellation of iodine signal in the normal tissues between the HE and LE images in DE subtracted images acquired 2 min, than for images acquired at 4 min. An analysis of the correlations between the α parameters in rows 13-16 of Table IV also supports this assertion.…”

Section: C Timing Of Cedm Imagingmentioning

confidence: 99%

Anatomical noise in contrast-enhanced digital mammography. Part II. Dual-energy imaging

Hill

Mainprize

Carton³

et al. 2013

Med. Phys.

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Image subtraction in both SE and DE CEDM reduces β by over a factor of 2, while maintaining α below that in DM. Given the equivalent α between SE and DE unprocessed CEDM images, and the smaller anatomical noise in the DE subtracted images, the DE approach may have an advantage over SE CEDM. It will be necessary to test this potential advantage in future lesion detectability experiments, which account for realistic lesion signals. The authors' results suggest that LE images could be used in place of DM images in CEDM exam interpretation.

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Section: C Timing Of Cedm Imagingmentioning

confidence: 99%

Anatomical noise in contrast-enhanced digital mammography. Part II. Dual-energy imaging

Hill

Mainprize

Carton³

et al. 2013

Med. Phys.

Self Cite

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“…In tomosynthesis, imaging components have been described through mathematical models and cascaded systems analysis, [11][12][13] while other studies have used a task-based approach to quantifying the imaging capabilities. In particular, focus has been placed on how reconstruction and noise properties are affected by acquisition parameters, such as timing of high energy/low energy acquisition, 14,15 total tube rotation, number of projections, and how these properties determine lesion detectability [16][17][18] and "estimability." 11,19 In addition, clinical trials have been performed to evaluate the viability of iodine-enhanced imaging.…”

Section: Introductionmentioning

confidence: 99%

Task-based strategy for optimized contrast enhanced breast imaging: Analysis of six imaging techniques for mammography and tomosynthesis

et al. 2014

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Purpose:The use of contrast agents in breast imaging has the capability of enhancing nodule detectability and providing physiological information. Accordingly, there has been a growing trend toward using iodine as a contrast medium in digital mammography (DM) and digital breast tomosynthesis (DBT). Widespread use raises concerns about the best way to use iodine in DM and DBT, and thus a comparison is necessary to evaluate typical iodine-enhanced imaging methods. This study used a task-based observer model to determine the optimal imaging approach by analyzing six imaging paradigms in terms of their ability to resolve iodine at a given dose: unsubtracted mammography and tomosynthesis, temporal subtraction mammography and tomosynthesis, and dual energy subtraction mammography and tomosynthesis. Methods: Imaging performance was characterized using a detectability index d , derived from the system task transfer function (TTF), an imaging task, iodine signal difference, and the noise power spectrum (NPS). The task modeled a 10 mm diameter lesion containing iodine concentrations between 2.1 mg/cc and 8.6 mg/cc. TTF was obtained using an edge phantom, and the NPS was measured over several exposure levels, energies, and target-filter combinations. Using a structured CIRS phantom, d was generated as a function of dose and iodine concentration. Results: For all iodine concentrations and dose, temporal subtraction techniques for mammography and tomosynthesis yielded the highest d , while dual energy techniques for both modalities demonstrated the next best performance. Unsubtracted imaging resulted in the lowest d values for both modalities, with unsubtracted mammography performing the worst out of all six paradigms. Conclusions: At any dose, temporal subtraction imaging provides the greatest detectability, with temporally subtracted DBT performing the highest. The authors attribute the successful performance to excellent cancellation of inplane structures and improved signal difference in the lesion.

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A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

2013

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Many important post-acquisition aspects of breast tomosynthesis imaging can impact its clinical performance. Chief among them is the reconstruction algorithm that generates the representation of the three-dimensional breast volume from the acquired projections. But even after reconstruction, additional processes, such as artifact reduction algorithms, computer aided detection and diagnosis, among others, can also impact the performance of breast tomosynthesis in the clinical realm. In this two part paper, a review of breast tomosynthesis research is performed, with an emphasis on its medical physics aspects. In the companion paper, the first part of this review, the research performed relevant to the image acquisition process is examined. This second part will review the research on the post-acquisition aspects, including reconstruction, image processing, and analysis, as well as the advanced applications being investigated for breast tomosynthesis.

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Impact of image acquisition timing on image quality for dual energy contrast-enhanced breast tomosynthesis

Cited by 4 publications

References 0 publications

Anatomical noise in contrast-enhanced digital mammography. Part II. Dual-energy imaging

Anatomical noise in contrast-enhanced digital mammography. Part II. Dual-energy imaging

Task-based strategy for optimized contrast enhanced breast imaging: Analysis of six imaging techniques for mammography and tomosynthesis

A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

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