Abstract
The image data compression methods using orthogonal transforms (Discrete cosine transform, Discrete fourier transform, Hadamard transform, Haar transform, Slant transform) were analyzed. From the points of the error and the speed of the data conversion, the discrete cosine transform method (DCT) is superior to the other methods. The block quantization by the DCT for the digital chest image was used. The quality of data compressed and reconstructed images by the score analysis and the ROC curve analysis was examined. The chest image with the esophageal cancer and metastatic lung tumors was evaluated at the 17 checkpoints (the tumor, the vascular markings, the border of the heart and ribs, the mediastinal structures and et al). By our score analysis, the satisfactory ratio of the data compression is 1/5 and 1/10. The ROC analysis using normal chest images superimposed by the artificial coin lesions was made. The ROC curve of the 1/5 compressed ratio is almost as same as the original one. To summarize our study, the image data compression method using the DCT is thought to be useful for the clinical use and the 1/5 compression ratio is a tolerable ratio.
Citation Formats
Ando, Yutaka, Kunieda, Etsuo, Ogawa, Koichi, Tukamoto, Nobuhiro, Hashimoto, Shozo, Aoki, Makoto, and Kurotani, Kenichi.
Evaluation of the distortions of the digital chest image caused by the data compression.
Japan: N. p.,
1988.
Web.
Ando, Yutaka, Kunieda, Etsuo, Ogawa, Koichi, Tukamoto, Nobuhiro, Hashimoto, Shozo, Aoki, Makoto, & Kurotani, Kenichi.
Evaluation of the distortions of the digital chest image caused by the data compression.
Japan.
Ando, Yutaka, Kunieda, Etsuo, Ogawa, Koichi, Tukamoto, Nobuhiro, Hashimoto, Shozo, Aoki, Makoto, and Kurotani, Kenichi.
1988.
"Evaluation of the distortions of the digital chest image caused by the data compression."
Japan.
@misc{etde_6798810,
title = {Evaluation of the distortions of the digital chest image caused by the data compression}
author = {Ando, Yutaka, Kunieda, Etsuo, Ogawa, Koichi, Tukamoto, Nobuhiro, Hashimoto, Shozo, Aoki, Makoto, and Kurotani, Kenichi}
abstractNote = {The image data compression methods using orthogonal transforms (Discrete cosine transform, Discrete fourier transform, Hadamard transform, Haar transform, Slant transform) were analyzed. From the points of the error and the speed of the data conversion, the discrete cosine transform method (DCT) is superior to the other methods. The block quantization by the DCT for the digital chest image was used. The quality of data compressed and reconstructed images by the score analysis and the ROC curve analysis was examined. The chest image with the esophageal cancer and metastatic lung tumors was evaluated at the 17 checkpoints (the tumor, the vascular markings, the border of the heart and ribs, the mediastinal structures and et al). By our score analysis, the satisfactory ratio of the data compression is 1/5 and 1/10. The ROC analysis using normal chest images superimposed by the artificial coin lesions was made. The ROC curve of the 1/5 compressed ratio is almost as same as the original one. To summarize our study, the image data compression method using the DCT is thought to be useful for the clinical use and the 1/5 compression ratio is a tolerable ratio.}
journal = []
volume = {6:3}
journal type = {AC}
place = {Japan}
year = {1988}
month = {Aug}
}
title = {Evaluation of the distortions of the digital chest image caused by the data compression}
author = {Ando, Yutaka, Kunieda, Etsuo, Ogawa, Koichi, Tukamoto, Nobuhiro, Hashimoto, Shozo, Aoki, Makoto, and Kurotani, Kenichi}
abstractNote = {The image data compression methods using orthogonal transforms (Discrete cosine transform, Discrete fourier transform, Hadamard transform, Haar transform, Slant transform) were analyzed. From the points of the error and the speed of the data conversion, the discrete cosine transform method (DCT) is superior to the other methods. The block quantization by the DCT for the digital chest image was used. The quality of data compressed and reconstructed images by the score analysis and the ROC curve analysis was examined. The chest image with the esophageal cancer and metastatic lung tumors was evaluated at the 17 checkpoints (the tumor, the vascular markings, the border of the heart and ribs, the mediastinal structures and et al). By our score analysis, the satisfactory ratio of the data compression is 1/5 and 1/10. The ROC analysis using normal chest images superimposed by the artificial coin lesions was made. The ROC curve of the 1/5 compressed ratio is almost as same as the original one. To summarize our study, the image data compression method using the DCT is thought to be useful for the clinical use and the 1/5 compression ratio is a tolerable ratio.}
journal = []
volume = {6:3}
journal type = {AC}
place = {Japan}
year = {1988}
month = {Aug}
}