Sk. Lee et al., A computer-aided design mammography screening system for detection and classification of microcalcifications, INT J MED I, 60(1), 2000, pp. 29-57
Citations number
55
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology",Multidisciplinary
This paper presents a prototype of a computer-aided design (CAD) diagnostic
system for mammography screening to automatically detect and classify micr
ocalcifications (MCCs) in mammograms. It comprises four modules. The first
module, called the Mammogram Preprocessing Module, inputs and digitizes mam
mograms into 8-bit images of size 2048 x 2048, extracts the breast region f
rom the background, enhances the extracted breast and stores the processed
mammograms in a data base. Since only clustered MCCs are of interest in pro
viding a sign of breast cancer, the second module, called the MCCs Finder M
odule, finds and locates suspicious areas of clustered MCCs, called regions
of interest (ROIs). The third module, called the MCCs Detection Module, is
a real time computer automated MCCs detection system that takes as inputs
the ROIs provided by the MCCs Finder Module. It uses two different window s
izes to automatically extract the microcalcifications from the ROIs. It beg
ins with a large window of size 64 x 64 to quickly screen mammograms to fin
d large calcified areas, this is followed by a smaller window of size 8 x 8
to extract tiny, isolated microcalcifications. Finally, the fourth module,
called the MCCs Classification Module, classifies the detected clustered m
icrocalcifications into five categories according to BI-RADS (Breast Imagin
g Reporting and Data System) format recommended by the American College of
Radiology. One advantage of the designed system is that each module is a se
parate component that can be individually upgraded to improve the whole sys
tem. Despite that it is still is a prototype system a preliminary clinical
evaluation at TaiChung Veterans General Hospital (TCVGH) has shown that the
system is very flexible and can be integrated with the existing Picture Ar
chiving and Communications System (PACS) currently implemented in the Depar
tment of Radiology at TCVGH. (C) 2000 Elsevier Science Ireland Ltd. All rig
hts reserved.