TY - GEN
T1 - Effect of spatial noise of medical grade Liquid Crystal Displays (LCD) on the detection of micro-calcifications
AU - Roehrig, Hans
AU - Fan, Jiahua
AU - Dallas, William J.
AU - Krupinski, Elizabeth A.
AU - Johnson, Jeffrey
PY - 2009
Y1 - 2009
N2 - This presentation describes work in progress that is the result of an NIH SBIR Phase 1 project that addresses the wide- spread concern for the large number of breast-cancers and cancer victims [1, 2]. The primary goal of the project is to increase the detection rate of microcalcifications as a result of the decrease of spatial noise of the LCDs used to display the mammograms [3, 4]. Noise reduction is to be accomplished with the aid of a high performance CCD camera and subsequent application of local-mean equalization and error diffusion [5, 6]. A second goal of the project is the actual detection of breast cancer. Contrary to the approach to mammography, where the mammograms typically have a pixel matrix of approximately 1900 x 2300 pixels, otherwise known as FFDM or Full-Field Digital Mammograms, we will only use sections of mammograms with a pixel matrix of 256 x 256 pixels. This is because at this time, reduction of spatial noise on an LCD can only be done on relatively small areas like 256 x 256 pixels. In addition, judging the efficacy for detection of breast cancer will be done using two methods: One is a conventional ROC study [7], the other is a vision model developed over several years starting at the Sarnoff Research Center and continuing at the Siemens Corporate Research in Princeton NJ [8].
AB - This presentation describes work in progress that is the result of an NIH SBIR Phase 1 project that addresses the wide- spread concern for the large number of breast-cancers and cancer victims [1, 2]. The primary goal of the project is to increase the detection rate of microcalcifications as a result of the decrease of spatial noise of the LCDs used to display the mammograms [3, 4]. Noise reduction is to be accomplished with the aid of a high performance CCD camera and subsequent application of local-mean equalization and error diffusion [5, 6]. A second goal of the project is the actual detection of breast cancer. Contrary to the approach to mammography, where the mammograms typically have a pixel matrix of approximately 1900 x 2300 pixels, otherwise known as FFDM or Full-Field Digital Mammograms, we will only use sections of mammograms with a pixel matrix of 256 x 256 pixels. This is because at this time, reduction of spatial noise on an LCD can only be done on relatively small areas like 256 x 256 pixels. In addition, judging the efficacy for detection of breast cancer will be done using two methods: One is a conventional ROC study [7], the other is a vision model developed over several years starting at the Sarnoff Research Center and continuing at the Siemens Corporate Research in Princeton NJ [8].
KW - Detection of micro-calcification
KW - Noise free template pixel
KW - Noise reduction by error diffusion
KW - Power law as function of lesion size
KW - Siemens visual discrimination model
KW - Spatial noise
KW - Threshold detection of anatomical noise
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U2 - 10.1117/12.830043
DO - 10.1117/12.830043
M3 - Conference contribution
AN - SCOPUS:70449380301
SN - 9780819477408
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Penetrating Radiation Systems and Applications X
T2 - Penetrating Radiation Systems and Applications X
Y2 - 6 August 2009 through 6 August 2009
ER -