Introduction of heat map to fidelity assessment of compressed CT images

Medical Physics

Volumn 38, Issue 8, 2011, Pages 4667-4671

  Lee, Hyunna ^a   Kim, Bohyoung ^a   Kim, Kil Joong ^b   Seo, Jinwook ^a   Park, Seongjin ^a   Shin, Yeong Gil ^a   Lee, Kyoung Ho ^c  

^a Seoul National University   (South Korea)

^b Seoul National University College of Medicine   (South Korea)

^c Seoul National University Bundang Hospital   (South Korea)

Author keywords

heat map; image fidelity

Indexed keywords

CLUSTERING ALGORITHMS; GENE EXPRESSION; HIERARCHICAL CLUSTERING; IMAGE COMPRESSION; MICROGRIDS; STATISTICS;

2-D COMPRESSION; COMPUTED TOMOGRAPHY IMAGES; DEGREE OF SIMILARITY; HEAT MAPS; HIERARCHICAL AGGLOMERATIVE CLUSTERING; IMAGE FIDELITY; JOINT PHOTOGRAPHIC EXPERTS GROUP; RESPONSE PATTERNS;

COMPUTERIZED TOMOGRAPHY;

EID: 79961042006     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3611046     Document Type: Article

References (20)

1. B. Kim, K. H. Lee, K. J. Kim, R. Mantiuk, V. Bajpai, T. J. Kim, Y. H. Kim, C. J. Yoon, and S. Hahn, Prediction of perceptible artifacts in JPEG2000 compressed abdomen CT images using a perceptual image quality metric., Acad. Radiol. 15, 314-325 (2008). 10.1016/j.acra.2007.10.018 (Pubitemid 351246732)
2. B. Kim, K. H. Lee, K. J. Kim, R. Mantiuk, S. Hahn, T. J. Kim, and Y. H. Kim, Prediction of perceptible artifacts in JPEG2000-compressed chest CT images using mathematical, and perceptual quality metrics., AJR, Am. J. Roentgenol. 190, 328-334 (2008). 10.2214/AJR.07.2502 (Pubitemid 351196602)
3. B. Kim, K. H. Lee, K. J. Kim, T. Richter, H. S. Kang, S. Y. Kim, Y. H. Kim, and J. Seo, JPEG2000 3D compression vs 2D compression: An assessment of artifact amount and computing time in compression thin-section abdomen CT images., Med. Phys. 36, 835-844 (2009). 10.1118/1.3075824
4. K. J. Kim, B. Kim, K. H. Lee, R. Mantiuk, H. S. Kang, J. Seo, S. Y. Kim, and Y. H. Kim, Objective index of image fidelity for JPEG2000 compressed body CT images., Med. Phys. 6, 3218-3226 (2009). 10.1118/1.3129159
5. H. Lee, K. H. Lee, K. J. Kim, S. Park, J. Seo, Y.-G. Shin, and B. Kim, Advantage in image fidelity and additional computing time of JPEG2000 3D in comparison to JPEG2000 in compressing abdomen CT image datasets of different section thicknesses., Med. Phys. 37, 4238-4248 (2010). 10.1118/1.3457471
6. K. J. Kim, B. Kim, R. Mantiuk, T. Richter, H. Lee, H.-S. Kang, J. Seo, and K. H. Lee, A comparison of three image fidelity metrics of different computational principles for JPEG2000 compressed abdomen CT images., IEEE Trans. Med. Imaging 29, 1496-1503 (2010). 10.1109/TMI.2009.2030679
7. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, Image quality assessment: From error visibility to structural similarity., IEEE Trans. Image Process. 13, 600-612 (2004). 10.1109/TIP.2003.819861
8. H. R. Sheikh, M. F. Sabir, and A. C. Bovik, A statistical evaluation of recent full reference image quality assessment algorithms., IEEE Trans. Image Process. 15, 3440-3451 (2006). 10.1109/TIP.2006.881959 (Pubitemid 44615139)
9. I. Avcibas, B. Sankur, and K. Sayood, Statistical evaluation of image quality measures., J. Electron. Imaging 11, 206-223 (2002). 10.1117/1.1455011 (Pubitemid 34536986)
10. Final report from the video quality experts group on the validation of objective models of video quality assessment. http://www.its.bldrdoc.gov/vqeg/ projects/frtv-phaseI/COM-80E-final-report.pdf. Last accessed Dec. 2010.
11. Final report from the video quality experts group on the validation of objective models of video quality assessment, phase II. http://www.its.bldrdoc. gov/vqeg/projects/frtv-phaseII/downloads/VQEGII-Final-Report.pdf. Last accessed Dec. 2010.
12. J. N. Weinstein, Biochemistry: A postgenomic visual icon., Science 319, 1772-1773 (2008). 10.1126/science.1151888 (Pubitemid 351451580)
13. L. Wilkinson and M. Friendly, The history of the cluster heat map., Am. Stat. 63, 179-184 (2009). 10.1198/tas.2009.0033
14. M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein, Cluster analysis and display of genome-wide expression patterns., Proc. Natl. Acad. Sci. U.S.A. 95, 14863-14868 (1998). 10.1073/pnas.95.25.14863 (Pubitemid 29003722)
15. D. Jiang, C. Tang, and A. Zhang, Cluster analysis for gene expression data: A survey., IEEE Trans. Knowl. Data Eng. 16, 1370-1368 (2004). 10.1109/TKDE.2004.68 (Pubitemid 40242326)
16. Available at http://vplab.snu.ac.kr/heatmap/source.
17. Available at http://vplab.snu.ac.kr/heatmap/appendix.
18. R. M. Cormack, A review of classification., J. R. Stat. Soc. Ser. A (Gen.) 134, 321-367 (1971). 10.2307/2344237
19. M. T. Freedman and T. Osicka, Heat maps: An aid for data analysis and understanding of ROC CAD experiments., Acad. Radiol. 15, 249-259 (2008). 10.1016/j.acra.2007.07.010
20. J. Seo and H. Gordish-Dressman, Exploratory data analysis with categorical variables: An improved rank-by-feature framework and a case study., Int. J. Hum. Comput. Interact. 23, 287-314 (2007). 10.1080/10447310701702519