A volumetric approach to glandularity estimation in mammography: a feasibility study.
In mammography, the reliable estimation of the volume of glandular tissue can lead to improvements in mean glandular dose calculations and mammographic risk assessment. Using the h(int) model, this paper presents a novel approach to the volumetric estimation of glandular tissue. The paper reports investigations into the effects of a range of parameters involved in the model. The results indicate that the robustness for possible clinical use depends on the uncertainty with which the parameters are determined. The paper also discusses the requirements necessary for clinical applications.
Blot
Lilian
L
School of Computing Sciences, University of East Anglia, Norwich, UK.
Zwiggelaar
Reyer
R
Department of Computer Science, University of Wales, Aberystwyth, UK.
D000465:Algorithms; D001940:Breast / Q000502:physiology*; D003198:Computer Simulation; D003720:Densitometry / Q000379:methods*; D005240:Feasibility Studies; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008327:Mammography / Q000379:methods*; D008954:Models, Biological; D009929:Organ Size / Q000502:physiology*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity