Mammography with Synchrotron Radiation: Phase-Detection Techniques

Arfelli, Fulvia; Bonvicini, V.; Bravin, A.; Cantatore, G.; Castelli, E.; Palma, L. Dalla; Michiel, Marco Di; Fabrizioli, M.; Longo, Renata; Menk, R.H.; Olivo, Alessandro; Pani, S.; Pontoni, Diego; Poropat, P.; Prest, M.; Rashevsky, A.; Ratti, Maria Monica; Rigon, Luigi; Tromba, Giuliana; Vacchi, A.; Vallazza, E.; Zanconati, Fabrizio

doi:10.1148/radiology.215.1.r00ap10286

Cited by 245 publications

(155 citation statements)

References 18 publications

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“…The choice of mammography as clinical application was due to the relevance of this examination in the early diagnosis of breast cancer and to the limitations of conventional technique in terms of sensitivity and specificity, particularly with dense breasts [5]. Furthermore, the implementation of PhC mammography was somehow natural, taking into account the energy and geometrical characteristics of the X-ray beam available at SYRMEP.…”

Section: Clinical Mammographymentioning

confidence: 99%

“…For this reason, the major effort of our research team has been oriented to study the effectiveness of PhC imaging using test objects and human breast tissue specimens [1,2,5]. The results of this pre-clinical phase were considered very successful [5].…”

Section: Clinical Mammographymentioning

confidence: 99%

“…At present our experience in clinical mammography is based on the screen-film system for its high spatial resolution, well suited to detect edge enhancement effects produced by the PhC technique [1,5]. However it is strongly limited by its low dynamic range.…”

Section: Perspectives For Clinical Mammographymentioning

confidence: 99%

See 2 more Smart Citations

The SYRMEP Beamline of Elettra: Clinical Mammography and Bio-medical Applications

Tromba

Longo

Abrami

et al. 2010

AIP Conference Proceedings

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Section: Clinical Mammographymentioning

confidence: 99%

Section: Clinical Mammographymentioning

confidence: 99%

See 1 more Smart Citation

The SYRMEP Beamline of Elettra: Clinical Mammography and Bio-medical Applications

Tromba

Longo

Abrami

et al. 2010

AIP Conference Proceedings

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“…1 With minor modifications to the conventional mammography geometry and x-ray tube anode spot size, PCM exploits the fact that changes in tissue density, which give rise to refractive index variations, can provide significant soft-tissue contrast from small structures even when conventional absorption contrast is low. [2][3][4] Indeed, preliminary studies using the Konica-Minolta REGIUS PureView TM system have demonstrated improved lesion detection from PCM when compared to conventional mammography. 5 However there remains a significant need for further system assessment and optimization.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of a clustered lumpy background model for task‐based image quality assessment in x‐ray phase‐contrast mammography

et al. 2012

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Purpose: Since the introduction of clinical x-ray phase-contrast mammography (PCM), a technique that exploits refractive-index variations to create edge enhancement at tissue boundaries, a number of optimization studies employing physical image-quality metrics have been performed. Ideally, task-based assessment of PCM would have been conducted with human readers. These studies have been limited, however, in part due to the large parameter-space of PCM system configurations and the difficulty of employing expert readers for large-scale studies. It has been proposed that numerical observers can be used to approximate the statistical performance of human readers, thus enabling the study of task-based performance over a large parameter-space. Methods: Methods are presented for task-based image quality assessment of PCM images with a numerical observer, the most significant of which is an adapted lumpy background from the conventional mammography literature that accounts for the unique wavefield propagation physics of PCM image formation and will be used with a numerical observer to assess image quality. These methods are demonstrated by performing a PCM task-based image quality study using a numerical observer. This study employs a signal-known-exactly, background-known-statistically Bayesian ideal observer method to assess the detectability of a calcification object in PCM images when the anode spot size and calcification diameter are varied. Results: The first realistic model for the structured background in PCM images has been introduced. A numerical study demonstrating the use of this background model has compared PCM and conventional mammography detection of calcification objects. The study data confirm the strong PCM calcification detectability dependence on anode spot size. These data can be used to balance the trade-off between enhanced image quality and the potential for motion artifacts that comes with use of a reduced spot size and increased exposure time. Conclusions: A method has been presented for the incorporation of structured breast background data into task-based numerical observer assessment of PCM images. The method adapts conventional background simulation techniques to the wavefield propagation physics necessary for PCM imaging. This method is demonstrated with a simple detection task.

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“…The in-line phase-contrast x-ray imaging is a technique using the free space diffraction of phase-shifted x-rays to form the interference fringes at tissues' boundaries and interfaces in images. [1][2][3][4][5][6][7][8] In fact, for over 100 years, the tissue attenuation differences have been the sole contrast mechanism for medical x-ray imaging. However, when x-rays traverse the body parts, as a wave x-rays undergo phase shifts as well.…”

Section: Introductionmentioning

confidence: 99%

Robustness of phase retrieval methods in x‐ray phase contrast imaging: A comparison

Yan

Liu

2011

Medical Physics

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Purpose: The robustness of the phase retrieval methods is of critical importance for limiting and reducing radiation doses involved in x-ray phase contrast imaging. This work is to compare the robustness of two phase retrieval methods by analyzing the phase maps retrieved from the experimental images of a phantom. Methods: Two phase retrieval methods were compared. One method is based on the transport of intensity equation (TIE) for phase contrast projections, and the TIE-based method is the most commonly used method for phase retrieval in the literature. The other is the recently developed attenuation-partition based (AP-based) phase retrieval method. The authors applied these two methods to experimental projection images of an air-bubble wrap phantom for retrieving the phase map of the bubble wrap. The retrieved phase maps obtained by using the two methods are compared. Results: In the wrap's phase map retrieved by using the TIE-based method, no bubble is recognizable, hence, this method failed completely for phase retrieval from these bubble wrap images. Even with the help of the Tikhonov regularization, the bubbles are still hardly visible and buried in the cluttered background in the retrieved phase map. The retrieved phase values with this method are grossly erroneous. In contrast, in the wrap's phase map retrieved by using the AP-based method, the bubbles are clearly recovered. The retrieved phase values with the AP-based method are reasonably close to the estimate based on the thickness-based measurement. The authors traced these stark performance differences of the two methods to their different techniques employed to deal with the singularity problem involved in the phase retrievals. Conclusions: This comparison shows that the conventional TIE-based phase retrieval method, regardless if Tikhonov regularization is used or not, is unstable against the noise in the wrap's projection images, while the AP-based phase retrieval method is shown in these experiments to be superior to the TIE-based method for the robustness in performing the phase retrieval.

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Mammography with Synchrotron Radiation: Phase-Detection Techniques

Cited by 245 publications

References 18 publications

The SYRMEP Beamline of Elettra: Clinical Mammography and Bio-medical Applications

The SYRMEP Beamline of Elettra: Clinical Mammography and Bio-medical Applications

Adaptation of a clustered lumpy background model for task‐based image quality assessment in x‐ray phase‐contrast mammography

Robustness of phase retrieval methods in x‐ray phase contrast imaging: A comparison

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