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Title: Introduction of heat map to fidelity assessment of compressed CT images

Abstract

Purpose: This study aimed to introduce heat map, a graphical data presentation method widely used in gene expression experiments, to the presentation and interpretation of image fidelity assessment data of compressed computed tomography (CT) images. Methods: The authors used actual assessment data that consisted of five radiologists' responses to 720 computed tomography images compressed using both Joint Photographic Experts Group 2000 (JPEG2000) 2D and JPEG2000 3D compressions. They additionally created data of two artificial radiologists, which were generated by partly modifying the data from two human radiologists. Results: For each compression, the entire data set, including the variations among radiologists and among images, could be compacted into a small color-coded grid matrix of the heat map. A difference heat map depicted the advantage of 3D compression over 2D compression. Dendrograms showing hierarchical agglomerative clustering results were added to the heat maps to illustrate the similarities in the data patterns among radiologists and among images. The dendrograms were used to identify two artificial radiologists as outliers, whose data were created by partly modifying the responses of two human radiologists. Conclusions: The heat map can illustrate a quick visual extract of the overall data as well as the entirety of large complexmore » data in a compact space while visualizing the variations among observers and among images. The heat map with the dendrograms can be used to identify outliers or to classify observers and images based on the degree of similarity in the response patterns.« less

Authors:
; ; ; ;  [1];  [2];  [3]
  1. School of Computer Science and Engineering, Seoul National University, 599 Kwanak-ro, Kwanak-gu, Seoul 151-742 (Korea, Republic of)
  2. Department of Radiation Applied Life Science, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, Seoul 110-744 (Korea, Republic of)
  3. Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine and Seoul National University Medical Research Center, 300 Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do 463-707 (Korea, Republic of)
Publication Date:
OSTI Identifier:
22100599
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 38; Journal Issue: 8; Other Information: (c) 2011 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; 60 APPLIED LIFE SCIENCES; CAT SCANNING; CHARGES; COMPRESSION; HEAT; HUMAN POPULATIONS; IMAGE PROCESSING; PHOTOGRAPHY

Citation Formats

Lee, Hyunna, Kim, Bohyoung, Seo, Jinwook, Park, Seongjin, Shin, Yeong-Gil, Kim, Kil Joong, and Lee, Kyoung Ho. Introduction of heat map to fidelity assessment of compressed CT images. United States: N. p., 2011. Web. doi:10.1118/1.3611046.
Lee, Hyunna, Kim, Bohyoung, Seo, Jinwook, Park, Seongjin, Shin, Yeong-Gil, Kim, Kil Joong, & Lee, Kyoung Ho. Introduction of heat map to fidelity assessment of compressed CT images. United States. https://doi.org/10.1118/1.3611046
Lee, Hyunna, Kim, Bohyoung, Seo, Jinwook, Park, Seongjin, Shin, Yeong-Gil, Kim, Kil Joong, and Lee, Kyoung Ho. 2011. "Introduction of heat map to fidelity assessment of compressed CT images". United States. https://doi.org/10.1118/1.3611046.
@article{osti_22100599,
title = {Introduction of heat map to fidelity assessment of compressed CT images},
author = {Lee, Hyunna and Kim, Bohyoung and Seo, Jinwook and Park, Seongjin and Shin, Yeong-Gil and Kim, Kil Joong and Lee, Kyoung Ho},
abstractNote = {Purpose: This study aimed to introduce heat map, a graphical data presentation method widely used in gene expression experiments, to the presentation and interpretation of image fidelity assessment data of compressed computed tomography (CT) images. Methods: The authors used actual assessment data that consisted of five radiologists' responses to 720 computed tomography images compressed using both Joint Photographic Experts Group 2000 (JPEG2000) 2D and JPEG2000 3D compressions. They additionally created data of two artificial radiologists, which were generated by partly modifying the data from two human radiologists. Results: For each compression, the entire data set, including the variations among radiologists and among images, could be compacted into a small color-coded grid matrix of the heat map. A difference heat map depicted the advantage of 3D compression over 2D compression. Dendrograms showing hierarchical agglomerative clustering results were added to the heat maps to illustrate the similarities in the data patterns among radiologists and among images. The dendrograms were used to identify two artificial radiologists as outliers, whose data were created by partly modifying the responses of two human radiologists. Conclusions: The heat map can illustrate a quick visual extract of the overall data as well as the entirety of large complex data in a compact space while visualizing the variations among observers and among images. The heat map with the dendrograms can be used to identify outliers or to classify observers and images based on the degree of similarity in the response patterns.},
doi = {10.1118/1.3611046},
url = {https://www.osti.gov/biblio/22100599}, journal = {Medical Physics},
issn = {0094-2405},
number = 8,
volume = 38,
place = {United States},
year = {Mon Aug 15 00:00:00 EDT 2011},
month = {Mon Aug 15 00:00:00 EDT 2011}
}