Selective pattern enhancement processing for digital mammography, algorithms, and the visual evaluation

Masahiko Yamada; Kazuo Shimura; Takefumi Nagata

doi:10.1117/12.480067

22 May 2003 Selective pattern enhancement processing for digital mammography, algorithms, and the visual evaluation

Masahiko Yamada, Kazuo Shimura, Takefumi Nagata

Author Affiliations +

Proceedings Volume 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment; (2003) https://doi.org/10.1117/12.480067
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

In order to enhance the micro calcifications selectively without enhancing noises, PEM (Pattern Enhancement Processing for Mammography) has been developed by utilizing not only the frequency information but also the structural information of the specified objects. PEM processing uses two structural characteristics i.e. steep edge structure and low-density isolated-point structure. The visual evaluation of PEM processing was done using two different resolution CR mammography images. The enhanced image by PEM processing was compared with the image without enhancement, and the conventional usharp-mask processed image. In the PEM processed image, an increase of noises due to enhancement was suppressed as compared with that in the conventional unsharp-mask processed image. The evaluation using CDMAM phantom showed that PEM processing improved the detection performance of a minute circular pattern. By combining PEM processing with the low and medium frequency enhancement processing, both mammary glands and micro calcifications are clearly enhanced.

Citation Download Citation

Masahiko Yamada, Kazuo Shimura, and Takefumi Nagata "Selective pattern enhancement processing for digital mammography, algorithms, and the visual evaluation", Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); https://doi.org/10.1117/12.480067

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