Design and performance of the prototype full field breast tomosynthesis system with selenium based flat panel detector

Ren, Bin; Ruth, Chris; Stein, J. A.; Smith, Andrew P.; Shaw, Ian; Jing, Zhenxue

doi:10.1117/12.595833

Cited by 70 publications

(76 citation statements)

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“…The measured MTFs for the same spatial frequencies in our study were 0.81 and 0.59 for 2 D, 0.66 and 0.34 for DBT scan, and 0.58 and 0.13 for the reconstructed plane in the LR direction, respectively. Our MTFs were also comparable to results from Baorui et al for the prototype Hologic breast tomosynthesis system [17]. The measured NNPS in this study was comparable to the NNPS measured by Marshall et al for Siemens Mammomat InspirationTomo [11].…”

supporting

confidence: 79%

“…Most of these studies were carried out using a Siemens Mammomat prototype tomosynthesis system (Siemens, Erlangen, DE). To our knowledge, the first physical image quality measurements for the Selenia Dimensions breast tomosynthesis system were carried out by Hologic employees [16,17]. Marshall and Bosmans recently published a study of system sharpness measurement (MTF) comparing Siemens Inspiration and Hologic Selenia Dimensions DBT systems [18].…”

mentioning

confidence: 99%

“…The focus detector distance is 70 cm, and the breast support plate is 2.5 cm above the detector surface. The acquired image of the breast at different angles is reconstructed by using a specialized filtered back projection method [16,17]. The first step of the quantitative image quality measurements is the determination of the detector response, which gives the relationship between the mean pixel value (PV) and the detector air kerma.…”

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confidence: 99%

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Quantitative Image Quality Measurements of a Digital Breast Tomosynthesis System

Olğar

Kahn

Gosch

2013

Fortschr Röntgenstr

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Purpose: The aim of this study was to measure the image quality of a digital breast tomosynthesis (DBT) system quantitatively. Materials and Methods: The signal transfer property (STP), modulation transfer function (MTF), noise power spectrum (NPS), and detective quantum efficiency (DQE) of the Hologic Selenia Dimensions breast tomosynthesis system were measured according to established methods. The NPS was calculated from two-dimensional (2?D) fast Fourier transform (FFT) of flat field images. The presampling MTF of the system was determined for 2?D standard projection mammography and 3?D breast tomosynthesis mode using the edge method. The DQE was derived for different detector air kerma (DAK) values from NPS and MTF measurements. Results: The detector response function was linear for both two-dimensional (2?D) standard projection mammography and three-dimensional (3?D) breast tomosynthesis modes. The gradient of the detector response in the 3?D imaging mode was higher than the gradient in the 2?D imaging mode by a factor of 3.1. The MTF values measured at the Nyquist frequency were 32?% and 39?% in 2?D and 3?D imaging modes, respectively. The DQE was saturated at an air kerma value approximately 3.5 times lower in 3?D mode than in 2?D mode. The measured maximum DQE value was 54?%. Conclusion: The measured DQE values were comparable with breast tomosynthesis systems from other companies (Siemens, GE). Citation Format:

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confidence: 79%

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confidence: 99%

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confidence: 99%

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Quantitative Image Quality Measurements of a Digital Breast Tomosynthesis System

Olğar

Kahn

Gosch

2013

Fortschr Röntgenstr

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“…It is really challenging to differentiate between the malignant and non-malignant behaviors from the film base masses, lesions, micro and macro calcifications of human breast tissues due to some cultural, regional and socio-economic problems which are likely to be found to form the dense and tender tissues because race, gender, occupation, geographic conditions, social system and other contributing factors create [7], [8] lots of variations in the composition of human breast tissues. On the other side there are lots of limitations associated with mammogram image accusation process due to improper acquisition processes caused by unavoidable technological noise seen in medical images [9], [10]. This create lots of confusions for radiologist to interpret the particular type of malignant behaviors and sometime ultrasound guided biopsies are recommended for deep analysis of the disease and results may reveal no malignancy.…”

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confidence: 99%

Intelligent System for Detection of Micro-Calcification in Breast Cancer

Rehman¹,

Ahmed²,

Ahmed³

2017

ijacsa

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Abstract-Recently; medical image mining has become one of the well-recognized research area(s) of machine learning and artificial intelligence techniques have been vastly used in various computer added diagnostic systems. Specifically; breast cancer classification problem is considered as one of the most significant problems. For instance, complex, diverse and heterogamous malignant features of micro-calcification in DICOM (Digital Communication in Medicine) images of mammography are very difficult to classify because the persistence of noise in mammogram images creates lots of confusions for doctors. In order to reduce the chances of misdiagnosis and to discernment the difference between malignant and benign lesions of microcalcification this paper proposes a system so called "Intelligent System For Detection of Micro-Calcification in Breast Cancer" by considering all above stated problems. Overall our system comprises over three main stages. In first stage, adaptive threshold algorithm is used to reduce the noise, and canny edge detection algorithm is used to detect the edges of every macro or micro classification. In second stage, deginated as feature selection is done by using auto-crop algorithm, which crops all types of calcifications and lesions by proposed algorithm so called CFEDNN (Calcification Feature Extraction Deep Neural Networks) which is designed to avoid the manual ROIs (Region of Interest). Decision model is constructed by using DNN (Deep Neural Networks) and the best classification accuracy is measured as 95.6%.

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“…[5][6][7][8][9][10] To generate the limited angle series of projection images, a mammography x-ray tube moves along an arc above the partially compressed breast. The scanners by Siemens and Hologic operate in a continuous motion mode.…”

Section: Introductionmentioning

confidence: 99%

Design and characterization of a spatially distributed multibeam field emission x‐ray source for stationary digital breast tomosynthesis

et al. 2009

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Digital breast tomosynthesis ͑DBT͒ is a limited angle computed tomography technique that can distinguish tumors from its overlying breast tissues and has potentials for detection of cancers at a smaller size and earlier stage. Current prototype DBT scanners are based on the regular full-field digital mammography systems and require partial isocentric motion of an x-ray tube over certain angular range to record the projection views. This prolongs the scanning time and, in turn, degrades the imaging quality due to motion blur. To mitigate the above limitations, the concept of a stationary DBT ͑s-DBT͒ scanner has been recently proposed based on the newly developed spatially distributed multibeam field emission x-ray ͑MBFEX͒ source technique using the carbon nanotube. The purpose of this article is to evaluate the performance of the 25-beam MBFEX source array that has been designed and fabricated for the s-DBT system. The s-DBT system records all the projection images by electronically activating the multiple x-ray beams from different viewing angles without any mechanical motion. The configuration of the MBFEX source is close to the published values from the Siemens Mammomat system. The key issues including the x-ray flux, focal spot size, spatial resolution, scanning time, beam-to-beam consistency, and reliability are evaluated using the standard procedures. In this article, the authors describe the design and performance of a distributed x-ray source array specifically designed for the s-DBT system. They evaluate the emission current, current variation, lifetime, and focal spot sizes of the source array. An emission current of up to 18 mA was obtained at 0.5ϫ 0.3 mm effective focal spot size. The experimentally measured focal spot sizes are comparable to that of a typical commercial mammography tube without motion blurring. Trade-off between the system spatial resolution, x-ray flux, and scanning time are also discussed. Projection images of a breast phantom were collected using the x-ray source array from 25 different viewing angles without motion. These preliminary results demonstrate the feasibility of the proposed s-DBT scanner. The technology has the potential to increase the resolution and reduce the imaging time for DBT. experimentally the feasibility of achieving 11 s scanning time at full detector resolution with 0.5 ϫ 0.3 mm source resolution without motion blur. The flexibility in configuration of the x-ray source array will also allow system designers to consider imaging geometries that are difficult to achieve with the conventional single-source rotating approach.

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Design and performance of the prototype full field breast tomosynthesis system with selenium based flat panel detector

Cited by 70 publications

References 0 publications

Quantitative Image Quality Measurements of a Digital Breast Tomosynthesis System

Quantitative Image Quality Measurements of a Digital Breast Tomosynthesis System

Intelligent System for Detection of Micro-Calcification in Breast Cancer

Design and characterization of a spatially distributed multibeam field emission x‐ray source for stationary digital breast tomosynthesis

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