Application of gray level mapping in computed tomographic colonography: A pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions

Lih Shyang Chen, Ta Wen Hsu, Shao Jer Chen, Shu Han Chang, Chih Wen Lin, Yu Ruei Chen, Chin Chiang Hsieh, Shu Chen Han, Ku Yaw Chang, Chun Ju Hou

Research output: Contribution to journalArticle

Abstract

Objective: In traditional surface rendering (SR) computed tomographic endoscopy, only the shape of endoluminal lesion is depicted without gray-level information unless the volume rendering technique is used. However, volume rendering technique is relatively slow and complex in terms of computation time and parameter setting. We use computed tomographic colonography (CTC) images as examples and report a new visualization technique by three-dimensional gray level mapping (GM) to better identify and differentiate endoluminal lesions. Methods: There are 33 various endoluminal cases from 30 patients evaluated in this clinical study. These cases were segmented using gray-level threshold. The marching cube algorithm was used to detect isosurfaces in volumetric data sets. GM is applied using the surface gray level of CTC. Radiologists conducted the clinical evaluation of the SR and GM images. The Wilcoxon signed-rank test was used for data analysis. Results: Clinical evaluation confirms GM is significantly superior to SR in terms of gray-level pattern and spatial shape presentation of endoluminal cases (p,0.01) and improves the confidence of identification and clinical classification of endoluminal lesions significantly (p,0.01). The specificity and diagnostic accuracy of GM is significantly better than those of SR in diagnostic performance evaluation (p,0.01). Conclusion: GM can reduce confusion in threedimensional CTC and well correlate CTC with sectional images by the location as well as gray-level value. Hence, GM increases identification and differentiation of endoluminal lesions, and facilitates diagnostic process. Advances in knowledge: GM significantly improves the traditional SR method by providing reliable gray-level information for the surface points and is helpful in identification and differentiation of endoluminal lesions according to their shape and density.

Original languageEnglish
Article number20160733
JournalBritish Journal of Radiology
Volume90
Issue number1070
DOIs
Publication statusPublished - 2017 Jan 1

Fingerprint

Computed Tomographic Colonography
Nonparametric Statistics
Endoscopy

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Chen, Lih Shyang ; Hsu, Ta Wen ; Chen, Shao Jer ; Chang, Shu Han ; Lin, Chih Wen ; Chen, Yu Ruei ; Hsieh, Chin Chiang ; Han, Shu Chen ; Chang, Ku Yaw ; Hou, Chun Ju. / Application of gray level mapping in computed tomographic colonography : A pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions. In: British Journal of Radiology. 2017 ; Vol. 90, No. 1070.
@article{312a213781b44960b8a6f0203ba63a8e,
title = "Application of gray level mapping in computed tomographic colonography: A pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions",
abstract = "Objective: In traditional surface rendering (SR) computed tomographic endoscopy, only the shape of endoluminal lesion is depicted without gray-level information unless the volume rendering technique is used. However, volume rendering technique is relatively slow and complex in terms of computation time and parameter setting. We use computed tomographic colonography (CTC) images as examples and report a new visualization technique by three-dimensional gray level mapping (GM) to better identify and differentiate endoluminal lesions. Methods: There are 33 various endoluminal cases from 30 patients evaluated in this clinical study. These cases were segmented using gray-level threshold. The marching cube algorithm was used to detect isosurfaces in volumetric data sets. GM is applied using the surface gray level of CTC. Radiologists conducted the clinical evaluation of the SR and GM images. The Wilcoxon signed-rank test was used for data analysis. Results: Clinical evaluation confirms GM is significantly superior to SR in terms of gray-level pattern and spatial shape presentation of endoluminal cases (p,0.01) and improves the confidence of identification and clinical classification of endoluminal lesions significantly (p,0.01). The specificity and diagnostic accuracy of GM is significantly better than those of SR in diagnostic performance evaluation (p,0.01). Conclusion: GM can reduce confusion in threedimensional CTC and well correlate CTC with sectional images by the location as well as gray-level value. Hence, GM increases identification and differentiation of endoluminal lesions, and facilitates diagnostic process. Advances in knowledge: GM significantly improves the traditional SR method by providing reliable gray-level information for the surface points and is helpful in identification and differentiation of endoluminal lesions according to their shape and density.",
author = "Chen, {Lih Shyang} and Hsu, {Ta Wen} and Chen, {Shao Jer} and Chang, {Shu Han} and Lin, {Chih Wen} and Chen, {Yu Ruei} and Hsieh, {Chin Chiang} and Han, {Shu Chen} and Chang, {Ku Yaw} and Hou, {Chun Ju}",
year = "2017",
month = "1",
day = "1",
doi = "10.1259/bjr.20160733",
language = "English",
volume = "90",
journal = "British Journal of Radiology",
issn = "0007-1285",
publisher = "British Institute of Radiology",
number = "1070",

}

Application of gray level mapping in computed tomographic colonography : A pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions. / Chen, Lih Shyang; Hsu, Ta Wen; Chen, Shao Jer; Chang, Shu Han; Lin, Chih Wen; Chen, Yu Ruei; Hsieh, Chin Chiang; Han, Shu Chen; Chang, Ku Yaw; Hou, Chun Ju.

In: British Journal of Radiology, Vol. 90, No. 1070, 20160733, 01.01.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Application of gray level mapping in computed tomographic colonography

T2 - A pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions

AU - Chen, Lih Shyang

AU - Hsu, Ta Wen

AU - Chen, Shao Jer

AU - Chang, Shu Han

AU - Lin, Chih Wen

AU - Chen, Yu Ruei

AU - Hsieh, Chin Chiang

AU - Han, Shu Chen

AU - Chang, Ku Yaw

AU - Hou, Chun Ju

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Objective: In traditional surface rendering (SR) computed tomographic endoscopy, only the shape of endoluminal lesion is depicted without gray-level information unless the volume rendering technique is used. However, volume rendering technique is relatively slow and complex in terms of computation time and parameter setting. We use computed tomographic colonography (CTC) images as examples and report a new visualization technique by three-dimensional gray level mapping (GM) to better identify and differentiate endoluminal lesions. Methods: There are 33 various endoluminal cases from 30 patients evaluated in this clinical study. These cases were segmented using gray-level threshold. The marching cube algorithm was used to detect isosurfaces in volumetric data sets. GM is applied using the surface gray level of CTC. Radiologists conducted the clinical evaluation of the SR and GM images. The Wilcoxon signed-rank test was used for data analysis. Results: Clinical evaluation confirms GM is significantly superior to SR in terms of gray-level pattern and spatial shape presentation of endoluminal cases (p,0.01) and improves the confidence of identification and clinical classification of endoluminal lesions significantly (p,0.01). The specificity and diagnostic accuracy of GM is significantly better than those of SR in diagnostic performance evaluation (p,0.01). Conclusion: GM can reduce confusion in threedimensional CTC and well correlate CTC with sectional images by the location as well as gray-level value. Hence, GM increases identification and differentiation of endoluminal lesions, and facilitates diagnostic process. Advances in knowledge: GM significantly improves the traditional SR method by providing reliable gray-level information for the surface points and is helpful in identification and differentiation of endoluminal lesions according to their shape and density.

AB - Objective: In traditional surface rendering (SR) computed tomographic endoscopy, only the shape of endoluminal lesion is depicted without gray-level information unless the volume rendering technique is used. However, volume rendering technique is relatively slow and complex in terms of computation time and parameter setting. We use computed tomographic colonography (CTC) images as examples and report a new visualization technique by three-dimensional gray level mapping (GM) to better identify and differentiate endoluminal lesions. Methods: There are 33 various endoluminal cases from 30 patients evaluated in this clinical study. These cases were segmented using gray-level threshold. The marching cube algorithm was used to detect isosurfaces in volumetric data sets. GM is applied using the surface gray level of CTC. Radiologists conducted the clinical evaluation of the SR and GM images. The Wilcoxon signed-rank test was used for data analysis. Results: Clinical evaluation confirms GM is significantly superior to SR in terms of gray-level pattern and spatial shape presentation of endoluminal cases (p,0.01) and improves the confidence of identification and clinical classification of endoluminal lesions significantly (p,0.01). The specificity and diagnostic accuracy of GM is significantly better than those of SR in diagnostic performance evaluation (p,0.01). Conclusion: GM can reduce confusion in threedimensional CTC and well correlate CTC with sectional images by the location as well as gray-level value. Hence, GM increases identification and differentiation of endoluminal lesions, and facilitates diagnostic process. Advances in knowledge: GM significantly improves the traditional SR method by providing reliable gray-level information for the surface points and is helpful in identification and differentiation of endoluminal lesions according to their shape and density.

UR - http://www.scopus.com/inward/record.url?scp=85011665771&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85011665771&partnerID=8YFLogxK

U2 - 10.1259/bjr.20160733

DO - 10.1259/bjr.20160733

M3 - Article

C2 - 27925483

AN - SCOPUS:85011665771

VL - 90

JO - British Journal of Radiology

JF - British Journal of Radiology

SN - 0007-1285

IS - 1070

M1 - 20160733

ER -