Abstract:The stationary Digital Breast Tomosynthesis System (s-DBT) has the advantage over the conventional DBT systems as there is no motion blurring in the projection images associated with the x-ray source motion. We have developed a prototype s-DBT system by retrofitting a Hologic Selenia Dimensions rotating gantry tomosynthesis system with a distributed carbon nanotube (CNT) x-ray source array. The linear array consists of 31 x-ray generating focal spots distributed over a 30 degree angle. Each x-ray beam can be e… Show more
“…In an experimental study using a Hologic a-Se flat panel detector and 31 stationary carbon nano-tube x-ray sources, Tucker et al (Tucker et al , 2012) used a quality factor similar to that of Sechopoulos and Ghetti (Sechopoulos and Ghetti, 2009)(Signal-difference-to-noise ratio / width of ASF at half max). They compared DBT images of an ACR mammography accreditation phantom generated with three different combinations of angular span and number of projection views (14d15p, 28d15p and 28d29p) and 3 dose distributions.…”
Section: Discussionmentioning
confidence: 99%
“…Many researchers have performed studies to determine the optimum geometry (angular range and number of projection views) for DBT. (Eberhard et al , 2006; Chawla et al , 2009; Chawla et al , 2008; Das et al , 2009; Gang et al , 2010; Gifford et al , 2008; Hu et al , 2008; Lu et al , 2011; Maidment et al , 2005; Maidment et al , 2006; Mertelmeier et al , 2008; Nishikawa et al , 2007; Reiser and Nishikawa, 2010; Ren et al , 2006; Sechopoulos, 2013; Sechopoulos and Ghetti, 2009; Tucker et al , 2012; Tucker et al , 2013; Van de Sompel et al , 2011; Wu et al , 2004; Ren et al , 2009, Young et al, 2013) Most of these studies have involved modeling of the tomosynthesis systems and some included modeling of the observers. Very few of the investigations have been experimental, in most part due to the unavailability of DBT systems that permit investigation of a wide variety of geometries, and because of the unavailability of realistic breast-simulating physical phantoms.…”
The effect of acquisition geometry in digital breast tomosynthesis (DBT) was evaluated with studies of contrast-to-noise ratios (CNRs) and observer preference. Contrast-detail (CD) test objects in 5 cm thick phantoms with breast-like backgrounds were imaged. Twelve different angular acquisitions (average glandular dose for each ~1.1 mGy) were performed ranging from narrow angle 16° with 17 projection views (16d17p) to wide angle 64d17p. Focal slices of SART-reconstructed images of the CD arrays were selected for CNR computations and the reader preference study. For the latter, pairs of images obtained with different acquisition geometries were randomized and scored by 7 trained readers. The total scores for all images and readings for each acquisition geometry were compared as were the CNRs. In general, readers preferred images acquired with wide angle as opposed to narrow angle geometries. The mean percent preferred was highly correlated with tomosynthesis angle (R=0.91). The highest scoring geometries were 60d21p (95%), 64d17p (80%), and 48d17p (72%); the lowest scoring were 16d17p (4%), 24d9p (17%) and 24d13p (33%). The measured CNRs for the various acquisitions showed much overlap but were overall highest for wide-angle acquisitions. Finally, the mean reader scores were well correlated with the mean CNRs (R=0.83).
“…In an experimental study using a Hologic a-Se flat panel detector and 31 stationary carbon nano-tube x-ray sources, Tucker et al (Tucker et al , 2012) used a quality factor similar to that of Sechopoulos and Ghetti (Sechopoulos and Ghetti, 2009)(Signal-difference-to-noise ratio / width of ASF at half max). They compared DBT images of an ACR mammography accreditation phantom generated with three different combinations of angular span and number of projection views (14d15p, 28d15p and 28d29p) and 3 dose distributions.…”
Section: Discussionmentioning
confidence: 99%
“…Many researchers have performed studies to determine the optimum geometry (angular range and number of projection views) for DBT. (Eberhard et al , 2006; Chawla et al , 2009; Chawla et al , 2008; Das et al , 2009; Gang et al , 2010; Gifford et al , 2008; Hu et al , 2008; Lu et al , 2011; Maidment et al , 2005; Maidment et al , 2006; Mertelmeier et al , 2008; Nishikawa et al , 2007; Reiser and Nishikawa, 2010; Ren et al , 2006; Sechopoulos, 2013; Sechopoulos and Ghetti, 2009; Tucker et al , 2012; Tucker et al , 2013; Van de Sompel et al , 2011; Wu et al , 2004; Ren et al , 2009, Young et al, 2013) Most of these studies have involved modeling of the tomosynthesis systems and some included modeling of the observers. Very few of the investigations have been experimental, in most part due to the unavailability of DBT systems that permit investigation of a wide variety of geometries, and because of the unavailability of realistic breast-simulating physical phantoms.…”
The effect of acquisition geometry in digital breast tomosynthesis (DBT) was evaluated with studies of contrast-to-noise ratios (CNRs) and observer preference. Contrast-detail (CD) test objects in 5 cm thick phantoms with breast-like backgrounds were imaged. Twelve different angular acquisitions (average glandular dose for each ~1.1 mGy) were performed ranging from narrow angle 16° with 17 projection views (16d17p) to wide angle 64d17p. Focal slices of SART-reconstructed images of the CD arrays were selected for CNR computations and the reader preference study. For the latter, pairs of images obtained with different acquisition geometries were randomized and scored by 7 trained readers. The total scores for all images and readings for each acquisition geometry were compared as were the CNRs. In general, readers preferred images acquired with wide angle as opposed to narrow angle geometries. The mean percent preferred was highly correlated with tomosynthesis angle (R=0.91). The highest scoring geometries were 60d21p (95%), 64d17p (80%), and 48d17p (72%); the lowest scoring were 16d17p (4%), 24d9p (17%) and 24d13p (33%). The measured CNRs for the various acquisitions showed much overlap but were overall highest for wide-angle acquisitions. Finally, the mean reader scores were well correlated with the mean CNRs (R=0.83).
“…For example, to avoid focal spot blurring due to the x-ray tube motion during acquisition 18 and potentially shorten total acquisition time, a carbon nanotube array of x-ray sources is being investigated as a replacement for the x-ray tube and rotating gantry. [19][20][21][22][23][24][25] In recent work, the investigators replaced the x-ray tube and gantry of a commercial DBT system (Selenia Dimensions, Hologic, Inc., Bedford, MA) with a carbon nanotube array with 31 x-ray sources, spanning 370 mm, resulting in an angular coverage of 30 • . The stationary x-ray source was shown to yield an improved modulation transfer function (MTF) compared to that with a standard rotating x-ray tube, in addition to an increase in the sharpness of phantom microcalcification images.…”
Section: Iia General System Designmentioning
confidence: 99%
“…Using the same QF metric, Tucker et al arrived at similar conclusions on the impact of angular range and number of projections for DBT performed with stationary carbon nanotube x-ray sources. 24 Using a more advanced image quality metric, specifically the detectability of a simulated lesion as evaluated by an observer model, Chawla et al also studied the impact of total angular range and number of projections on tomosynthe-sis image quality, analyzing both the projections and the reconstructed images. 61,61 Under the constant total dose condition, the results agree with the findings of Sechopoulos and Ghetti; detectability increases with increasing angular range and number of projections, but the latter achieves a maximum beyond which observer performance decreases.…”
Mammography is a very well-established imaging modality for the early detection and diagnosis of breast cancer. However, since the introduction of digital imaging to the realm of radiology, more advanced, and especially tomographic imaging methods have been made possible. One of these methods, breast tomosynthesis, has finally been introduced to the clinic for routine everyday use, with potential to in the future replace mammography for screening for breast cancer. In this two part paper, the extensive research performed during the development of breast tomosynthesis is reviewed, with a focus on the research addressing the medical physics aspects of this imaging modality. This first paper will review the research performed on the issues relevant to the image acquisition process, including system design, optimization of geometry and technique, x-ray scatter, and radiation dose. The companion to this paper will review all other aspects of breast tomosynthesis imaging, including the reconstruction process.
“…1,2 These uniform phantoms are used for system characterization and for devising optimized imaging paradigms. [3][4][5][6][7][8][9] However, while these phantoms are effective for characterizing the inherent physical properties of an imaging system, they are far from representing realistic breast background, hence significantly under-representing the sophistication of diagnostic tasks that should be the basis of medical imaging performance. As such, there is a need to design and implement system evaluation phantoms that more closely represent the clinical reality.…”
The presented physical breast phantoms and their matching virtual breast phantoms offer realistic breast anatomy, patient variability, and ease of use, making them a potential candidate for performing both system quality control testing and virtual clinical trials.
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