乳房X光攝影片是目前有效偵測乳癌病徵微鈣化群方法之一，但是由於其每張影像的資料量是非常龐大的，再加上目前醫院會依診斷的不同需求作不同品質的壓縮處理，因此同一份資料依不同壓縮品質多份貯存，造成資料的複雜性大增與維護上一致性的問題。本系統研究以JPEG2000中感興趣地區分層結構編碼方式來進行乳房X光攝影片壓縮，利用此漸進式編碼方式來解決醫院複寫問題，再加上以感興趣地區編碼方式來保證病徵處的高品質顯示，並分析在非病徵處於壓縮位元平面的數量與壓縮影像品質的關係，請醫生重新判讀和利用公式，以給予系統設計者一個衡量的參考，來設定每個分層所包含的壓縮位元數量。

　　The mammography is one of the most effective screen methods in detecting the tiny calcifications. Due to that the size of each mammogram is very large and different quality level of mammogram image obtained with different compression ratios are adopted for different diagnosis requirements in current hospital. Therefore, duplicated storage required and maintenance difficulty was happened. In this thesis, the ROI progressive coding in JPEG2000 is used for compressing to solve the foregoing problem in the hospital and use the region of interest (ROI) coding to make sure the display with high quality in lesions. The system analyzes the relationship between the number of compressed bitplanes in non-lesion and the quality of image. Thus, the system programmer can design the number of compressed bitplanes in each layer depending on referring to the re-diagnosis by the doctor and the formula designed in the thesis.

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