Simulation of the Radiographic Process in Mammography

Desponds, L.; Depeursinge, C.; Grecescu, M; Hessler, C; Valley, J.-F.

doi:10.1016/s0939-3889(15)70585-4

Cited by 1 publication

(1 citation statement)

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“…Different approaches for simulating radiographic images have been investigated and reported (Desponds et al 1992, Sandborg et al 1999, Van Metter et al 1986. The majority of them are based on the knowledge of the radiographic imaging process and facilitate statistical or physical models for generation of the new image.…”

Section: Simulation Of Dose Reductionmentioning

confidence: 99%

An adaptive algorithm for the detection of microcalcifications in simulated low-dose mammography

Treiber

Wanninger²,

Führ

et al. 2003

Phys. Med. Biol.

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This paper uses the task of microcalcification detection as a benchmark problem to assess the potential for dose reduction in x-ray mammography. We present the results of a newly developed algorithm for detection of microcalcifications as a case study for a typical commercial film-screen system (Kodak Min-R 2000/2190). The first part of the paper deals with the simulation of dose reduction for film-screen mammography based on a physical model of the imaging process. Use of a more sensitive film-screen system is expected to result in additional smoothing of the image. We introduce two different models of that behaviour, called moderate and strong smoothing. We then present an adaptive, model-based microcalcification detection algorithm. Comparing detection results with ground-truth images obtained under the supervision of an expert radiologist allows us to establish the soundness of the detection algorithm. We measure the performance on the dose-reduced images in order to assess the loss of information due to dose reduction. It turns out that the smoothing behaviour has a strong influence on detection rates. For moderate smoothing. a dose reduction by 25% has no serious influence on the detection results. whereas a dose reduction by 50% already entails a marked deterioration of the performance. Strong smoothing generally leads to an unacceptable loss of image quality. The test results emphasize the impact of the more sensitive film-screen system and its characteristics on the problem of assessing the potential for dose reduction in film-screen mammography. The general approach presented in the paper can be adapted to fully digital mammography.

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Section: Simulation Of Dose Reductionmentioning

confidence: 99%