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Novel Perlin-based phantoms using 3D models of compressed breast shapes and fractal noise

Teixeira, Joao P.V. (author)
Federal University of Paraiba
Silva Filho, Telmo M. (author)
Federal University of Paraiba
Do Rego, Thais G. (author)
Federal University of Paraiba
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Malheiros, Yuri B. (author)
Federal University of Paraiba
Dustler, Magnus (author)
Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Medicinsk strålningsfysik, Malmö,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Radiology Diagnostics, Malmö,Lund University Research Groups,Medical Radiation Physics, Malmö,LUCC: Lund University Cancer Centre,Other Strong Research Environments
Bakic, Predrag R. (author)
Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Radiology Diagnostics, Malmö,Lund University Research Groups,University of Pennsylvania
Vent, Trevor L. (author)
University of Pennsylvania
Acciavatti, Raymond J. (author)
University of Pennsylvania
Krishnamoorthy, Srilalan (author)
University of Pennsylvania
Surti, Suleman (author)
University of Pennsylvania
Maidment, Andrew D.A. (author)
University of Pennsylvania
Barufaldi, Bruno (author)
University of Pennsylvania
Zhao, Wei (editor)
Yu, Lifeng (editor)
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 (creator_code:org_t)
SPIE, 2022
2022
English.
In: Medical Imaging 2022 : Physics of Medical Imaging - Physics of Medical Imaging. - : SPIE. - 1605-7422. - 9781510649378 ; 12031
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  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Virtual clinical trials (VCTs) have been used widely to evaluate digital breast tomosynthesis (DBT) systems. VCTs require realistic simulations of the breast anatomy (phantoms) to characterize lesions and to estimate risk of masking cancers. This study introduces the use of Perlin-based phantoms to optimize the acquisition geometry of a novel DBT prototype. These phantoms were developed using a GPU implementation of a novel library called Perlin-CuPy. The breast anatomy is simulated using 3D models under mammography cranio-caudal compression. In total, 240 phantoms were created using compressed breast thickness, chest-wall to nipple distance, and skin thickness that varied in a {[35, 75], [59, 130), [1.0, 2.0]} mm interval, respectively. DBT projections and reconstructions of the phantoms were simulated using two acquisition geometries of our DBT prototype. The performance of both acquisition geometries was compared using breast volume segmentations of the Perlin phantoms. Results show that breast volume estimates are improved with the introduction of posterior-anterior motion of the x-ray source in DBT acquisitions. The breast volume is overestimated in DBT, varying substantially with the acquisition geometry; segmentation errors are more evident for thicker and larger breasts. These results provide additional evidence and suggest that custom acquisition geometries can improve the performance and accuracy in DBT. Perlin phantoms help to identify limitations in acquisition geometries and to optimize the performance of the DBT prototypes.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

Keyword

digital breast tomosynthesis
Perlin noise
ray-tracing
virtual clinical trial

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