Design and development of a fully 3D dedicated x-ray computed mammotomography system

Tornai, Martin P.; McKinley, Randolph L.; Bryzmialkiewicz, Caryl N.; Madhav, Priti; Cutler, Spencer J.; Crotty, Dominic J.; Bowsher, J.E.; Samei, Ehsan; Floyd, Carey E.

doi:10.1117/12.595636

Cited by 50 publications

(39 citation statements)

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“…Additional details of the prototype compact dual modality breast imaging system are described elsewhere. 16 …”

Section: Iia Dedicated Breast Ct Imaging Subsystemmentioning

confidence: 99%

“…This system is being used in ongoing studies to image human subjects with encouraging results. 2,16,17 When previously compared against digital mammography in a phantom-based observer study, our CT subsystem demonstrated statistically significant improved ability to visualize small (<5 mm) spherical "lesions" in low-contrast media containing structured background material at doses comparable to that of dual view mammography. 18 In that observer study, the dose imparted to the breast from the CT acquisition was estimated using the previously defined dose conversion factors 9 since no experimental validation of the absolute dose estimates was available at the time.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the absorbed dose to the breast using radiochromic film in a dedicated CT mammotomography system employing a quasi-monochromatic x-ray beam

et al. 2011

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Purpose: A dual modality SPECT-CT prototype system dedicated to uncompressed breast imaging (mammotomography) has been developed. The computed tomography subsystem incorporates an ultrathick K-edge filtration technique producing a quasi-monochromatic x-ray cone beam that optimizes the dose efficiency of the system for lesion imaging in an uncompressed breast. Here, the absorbed dose in various geometric phantoms and in an uncompressed and pendant cadaveric breast using a normal tomographic cone beam imaging protocol is characterized using both thermoluminescent dosimeter (TLD) measurements and ionization chamber-calibrated radiochromic film. Methods: Initially, two geometric phantoms and an anthropomorphic breast phantom are filled in turn with oil and water to simulate the dose to objects that mimic various breast shapes having effective density bounds of 100% fatty and glandular breast compositions, respectively. Ultimately, an excised human cadaver breast is tomographically scanned using the normal tomographic imaging protocol, and the dose to the breast tissue is evaluated and compared to the earlier phantom-based measurements. Results: Measured trends in dose distribution across all breast geometric and anthropomorphic phantom volumes indicate lower doses in the medial breast and more proximal to the chest wall, with consequently higher doses near the lateral peripheries and nipple regions. Measured doses to the oil-filled phantoms are consistently lower across all volume shapes due to the reduced mass energy-absorption coefficient of oil relative to water. The mean measured dose to the breast cadaver, composed of adipose and glandular tissues, was measured to be 4.2 mGy compared to a mean whole-breast dose of 3.8 and 4.5 mGy for the oil-and water-filled anthropomorphic breast phantoms, respectively. Conclusions: Assuming rotational symmetry due to the tomographic acquisition exposures, these results characterize the 3D dose distributions in an uncompressed human breast tissue volume for this dedicated breast imaging device and illustrate advantages of using the novel ultrathick K-edge filtered beam to minimize the dose to the breast during fully-3D imaging.

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“…Additional details of the prototype compact dual modality breast imaging system are described elsewhere. 16 …”

Section: Iia Dedicated Breast Ct Imaging Subsystemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the absorbed dose to the breast using radiochromic film in a dedicated CT mammotomography system employing a quasi-monochromatic x-ray beam

et al. 2011

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“…To address some of the limitations of mammography, several promising new breast imaging technologies have emerged: digital breast tomosynthesis (DBT), 5,6 contrast-enhanced mammography, 7,8 and dedicated breast computed tomography (bCT). 9,10 However, it can be challenging to fully evaluate each technology, its merits, and its shortcomings, especially in the preclinical phases. While clinical trials still serve as the gold standard for making these evaluations, they are costly, time consuming, and sometimes involve risk to the patient (e.g., radiation dose).…”

Section: Introductionmentioning

confidence: 99%

Population of 224 realistic human subject-based computational breast phantoms

et al. 2015

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Purpose: To create a database of highly realistic and anatomically variable 3D virtual breast phantoms based on dedicated breast computed tomography (bCT) data. Methods: A tissue classification and segmentation algorithm was used to create realistic and detailed 3D computational breast phantoms based on 230+ dedicated bCT datasets from normal human subjects. The breast volume was identified using a coarse three-class fuzzy C-means segmentation algorithm which accounted for and removed motion blur at the breast periphery. Noise in the bCT data was reduced through application of a postreconstruction 3D bilateral filter. A 3D adipose nonuniformity (bias field) correction was then applied followed by glandular segmentation using a 3D bias-corrected fuzzy C-means algorithm. Multiple tissue classes were defined including skin, adipose, and several fractional glandular densities. Following segmentation, a skin mask was produced which preserved the interdigitated skin, adipose, and glandular boundaries of the skin interior. Finally, surface modeling was used to produce digital phantoms with methods complementary to the XCAT suite of digital human phantoms. Results: After rejecting some datasets due to artifacts, 224 virtual breast phantoms were created which emulate the complex breast parenchyma of actual human subjects. The volume breast density (with skin) ranged from 5.5% to 66.3% with a mean value of 25.3% ± 13.2%. Breast volumes ranged from 25.0 to 2099.6 ml with a mean value of 716.3 ± 386.5 ml. Three breast phantoms were selected for imaging with digital compression (using finite element modeling) and simple ray-tracing, and the results show promise in their potential to produce realistic simulated mammograms. Conclusions: This work provides a new population of 224 breast phantoms based on in vivo bCT data for imaging research. Compared to previous studies based on only a few prototype cases, this dataset provides a rich source of new cases spanning a wide range of breast types, volumes, densities, and parenchymal patterns.

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“…A Ce 100 th attenuating value layer (0.0508cm, calculated at 60kVp) filter (Z=58, ρ=6.77g/cm 3 , Kedge=40.4keV, Santoku America, Inc., Tolleson, AZ) was used to yield a mean energy of ~36keV and FWHM of 15%. Such a quasi-monochromatic x-ray source can (1) improve the visualization of tissues with very small differences in attenuation coefficients; (2) lower the x-ray dose for equivalent image quality to mammography; and (3) minimize beam hardening [3,18,19]. For these studies, a 60cm sourceto-image distance (SID) was used with a magnification of 1.57 for an object located at the system's center of rotation.…”

Section: B Ct Sub-systemmentioning

confidence: 99%

Optimizing and Evaluating an Integrated SPECT-CmT System Dedicated to Improved 3-D Breast Cancer Imaging

Crotty¹

2009

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Design and development of a fully 3D dedicated x-ray computed mammotomography system

Cited by 50 publications

References 0 publications

Evaluation of the absorbed dose to the breast using radiochromic film in a dedicated CT mammotomography system employing a quasi-monochromatic x-ray beam

Evaluation of the absorbed dose to the breast using radiochromic film in a dedicated CT mammotomography system employing a quasi-monochromatic x-ray beam

Population of 224 realistic human subject-based computational breast phantoms

Optimizing and Evaluating an Integrated SPECT-CmT System Dedicated to Improved 3-D Breast Cancer Imaging

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