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Using simple mathem...
Using simple mathematical functions to simulate pathological structures--input for digital mammography clinical trial.
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- Ruschin, Mark (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups
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- Tingberg, Anders (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups
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- Båth, Magnus, 1974 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för radiofysik,Institute of Selected Clinical Sciences, Department of Radiation Physics
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- Grahn, Anna (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups
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- Håkansson, Markus (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för radiofysik,Institute of Selected Clinical Sciences, Department of Radiation Physics
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- Hemdal, Bengt (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups
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Andersson, I (författare)
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(creator_code:org_t)
- 2005-05-17
- 2005
- Engelska.
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Ingår i: Radiation protection dosimetry. - : Oxford University Press (OUP). - 0144-8420 .- 1742-3406. ; 114:1-3, s. 424-31
- Relaterad länk:
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http://dx.doi.org/10...
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this study a set of structures has been simulated to represent a range of clinically relevant breast cancer mammographic lesions including solid tumours and microcalcifications. All structures have been created using simple random-based mathematical functions and have been inserted into a subset of digital mammography images at appropriate contrast levels into various regions of the breast, including dense fibroglandular and adipose tissue. These structures and their appearance in these clinical images were evaluated in terms of how realistic they looked. They will be used as the input to a large-scale clinical trial designed to examine the effect of significant dose reduction in digital mammography by comparing the detectability of such structures in images acquired at full and quarter automatic exposure control (AEC) dose level and in images with simulated noise levels in between.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Adipose Tissue
- radiography
- Breast
- pathology
- Breast Diseases
- diagnosis
- Breast Neoplasms
- diagnosis
- Clinical Trials as Topic
- Computer Simulation
- Female
- Humans
- Mammography
- instrumentation
- methods
- Models
- Statistical
- Models
- Theoretical
- Radiographic Image Enhancement
- Radiographic Image Interpretation
- Computer-Assisted
- methods
- Software
- X-Rays
- adipose tissue
- contrast level
- fibroglandular tissue
- random-based mathematical function
- microcalcification
- solid tumour
- breast cancer mammographic lesion
- pathological structure
- digital mammography
- noise level
- automatic exposure control dose level
- dose reduction
- image acquisition
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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