Using simple mathematical functions to simulate pathological structures--input for digital mammography clinical trial.

• 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)