Premium
P‐186: A Study of CRT (5‐Mpixel) vs. LCD (9‐Mpixel) Displays for Breast Lesion Detection in Full‐Field Digital Mammography and Ultrasound (FFDMUS) Data Sets via Image‐Enhancement Algorithms
Author(s) -
Poolla Ananth,
Suri Jasjit S.,
Sun Yajie,
Guo Yujun,
Samei Ehsan,
Pisano Etta,
Woodward Ron,
Minyard Tom,
Schleupen Kai,
Wright Steve,
Coley Susan,
Janer Roman
Publication year - 2005
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.2036448
Subject(s) - liquid crystal display , pixel , artificial intelligence , computer science , mammography , breast ultrasound , computer vision , ultrasound , segmentation , metric (unit) , ultrasonic sensor , medicine , radiology , engineering , breast cancer , operations management , cancer , operating system
The latest technological changes are fast replacing the conventional cathode ray tube (CRT) displays with liquid crystal displays (LCDs). It is thus important to understand and evaluate them. The novelty of our evaluation strategy comes from the usage of computer aided diagnostics‐based on pixel intensities. This evaluation system combines both lesion segmentation and quantification. Hence it is an integrated approach. The FFDMUS ultrasound data was acquired and then displayed on LCD and CRT displays. The FFDMUS ultrasound images were segmented using the signal‐to‐noise ratio (SNR) algorithm. We use Hausdoff distance measure (HDM) and polyline distance metric (PDM) for performance evaluation. Our results using the HDM method on FFDMUS ultrasound images show that lesions quantified from LCD images show a 29% improvement compared to lesions quantified from CRT images. A similar behavior was observed using PDM method. Hence we conclude that use of LCD displays for mammography applications with image enhancement techniques will have a greater diagnostic accuracy compared to the CRT displays.