CT reconstruction algorithms affect histogram and texture analysis

evidence for liver parenchyma, focal solid liver lesions, and renal cysts

Su Joa Ahn, Jung Hoon Kim, Sang Min Lee, Sang Joon Park, Joon Koo Han

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Purpose: To determine the effects of different reconstruction algorithms on histogram and texture features in different targets. Materials and methods: Among 3620 patients, 480 had normal liver parenchyma, 494 had focal solid liver lesions (metastases = 259; hepatocellular carcinoma = 99; hemangioma = 78; abscess = 32; and cholangiocarcinoma = 26), and 488 had renal cysts. CT images were reconstructed with filtered back-projection (FBP), hybrid iterative reconstruction (HIR), and iterative model reconstruction (IMR) algorithms. Computerized histogram and texture analyses were performed by extracting 11 features. Results: Different reconstruction algorithms had distinct, significant effects. IMR had a greater effect than HIR. For instance, IMR had a significant effect on five features of liver parenchyma, nine features of focal liver lesions, and four features of renal cysts on portal-phase scans and four, eight, and four features, respectively, on precontrast scans (p < 0.05). Meanwhile, different algorithms had a greater effect on focal liver lesions (six in HIR and nine in IMR on portal-phase, three in HIR, and eight in IMR on precontrast scans) than on liver parenchyma or cysts. The mean attenuation and standard deviation were not affected by the reconstruction algorithm (p >.05). Most parameters showed good or excellent intra- and interobserver agreement, with intraclass correlation coefficients ranging from 0.634 to 0.972. Conclusions: Different reconstruction algorithms affect histogram and texture features. Reconstruction algorithms showed stronger effects in focal liver lesions than in liver parenchyma or renal cysts. Key Points: • Imaging heterogeneities influenced the quantification of image features. • Different reconstruction algorithms had a significant effect on histogram and texture features. • Solid liver lesions were more affected than liver parenchyma or cysts.

Original languageEnglish
Pages (from-to)4008-4015
Number of pages8
JournalEuropean Radiology
Volume29
Issue number8
DOIs
StatePublished - 1 Aug 2019

Fingerprint

Cysts
Kidney
Liver
Cholangiocarcinoma
Hemangioma
Abscess
Hepatocellular Carcinoma
Neoplasm Metastasis

Keywords

  • Cyst
  • Kidney
  • Liver
  • Neoplasms
  • Tomography

Cite this

@article{39c8017e658f432aa3af1140a1423e5c,
title = "CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts",
abstract = "Purpose: To determine the effects of different reconstruction algorithms on histogram and texture features in different targets. Materials and methods: Among 3620 patients, 480 had normal liver parenchyma, 494 had focal solid liver lesions (metastases = 259; hepatocellular carcinoma = 99; hemangioma = 78; abscess = 32; and cholangiocarcinoma = 26), and 488 had renal cysts. CT images were reconstructed with filtered back-projection (FBP), hybrid iterative reconstruction (HIR), and iterative model reconstruction (IMR) algorithms. Computerized histogram and texture analyses were performed by extracting 11 features. Results: Different reconstruction algorithms had distinct, significant effects. IMR had a greater effect than HIR. For instance, IMR had a significant effect on five features of liver parenchyma, nine features of focal liver lesions, and four features of renal cysts on portal-phase scans and four, eight, and four features, respectively, on precontrast scans (p < 0.05). Meanwhile, different algorithms had a greater effect on focal liver lesions (six in HIR and nine in IMR on portal-phase, three in HIR, and eight in IMR on precontrast scans) than on liver parenchyma or cysts. The mean attenuation and standard deviation were not affected by the reconstruction algorithm (p >.05). Most parameters showed good or excellent intra- and interobserver agreement, with intraclass correlation coefficients ranging from 0.634 to 0.972. Conclusions: Different reconstruction algorithms affect histogram and texture features. Reconstruction algorithms showed stronger effects in focal liver lesions than in liver parenchyma or renal cysts. Key Points: • Imaging heterogeneities influenced the quantification of image features. • Different reconstruction algorithms had a significant effect on histogram and texture features. • Solid liver lesions were more affected than liver parenchyma or cysts.",
keywords = "Cyst, Kidney, Liver, Neoplasms, Tomography",
author = "Ahn, {Su Joa} and Kim, {Jung Hoon} and Lee, {Sang Min} and Park, {Sang Joon} and Han, {Joon Koo}",
year = "2019",
month = "8",
day = "1",
doi = "10.1007/s00330-018-5829-9",
language = "English",
volume = "29",
pages = "4008--4015",
journal = "European radiology",
issn = "0938-7994",
publisher = "Springer Verlag",
number = "8",

}

CT reconstruction algorithms affect histogram and texture analysis : evidence for liver parenchyma, focal solid liver lesions, and renal cysts. / Ahn, Su Joa; Kim, Jung Hoon; Lee, Sang Min; Park, Sang Joon; Han, Joon Koo.

In: European Radiology, Vol. 29, No. 8, 01.08.2019, p. 4008-4015.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - CT reconstruction algorithms affect histogram and texture analysis

T2 - evidence for liver parenchyma, focal solid liver lesions, and renal cysts

AU - Ahn, Su Joa

AU - Kim, Jung Hoon

AU - Lee, Sang Min

AU - Park, Sang Joon

AU - Han, Joon Koo

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Purpose: To determine the effects of different reconstruction algorithms on histogram and texture features in different targets. Materials and methods: Among 3620 patients, 480 had normal liver parenchyma, 494 had focal solid liver lesions (metastases = 259; hepatocellular carcinoma = 99; hemangioma = 78; abscess = 32; and cholangiocarcinoma = 26), and 488 had renal cysts. CT images were reconstructed with filtered back-projection (FBP), hybrid iterative reconstruction (HIR), and iterative model reconstruction (IMR) algorithms. Computerized histogram and texture analyses were performed by extracting 11 features. Results: Different reconstruction algorithms had distinct, significant effects. IMR had a greater effect than HIR. For instance, IMR had a significant effect on five features of liver parenchyma, nine features of focal liver lesions, and four features of renal cysts on portal-phase scans and four, eight, and four features, respectively, on precontrast scans (p < 0.05). Meanwhile, different algorithms had a greater effect on focal liver lesions (six in HIR and nine in IMR on portal-phase, three in HIR, and eight in IMR on precontrast scans) than on liver parenchyma or cysts. The mean attenuation and standard deviation were not affected by the reconstruction algorithm (p >.05). Most parameters showed good or excellent intra- and interobserver agreement, with intraclass correlation coefficients ranging from 0.634 to 0.972. Conclusions: Different reconstruction algorithms affect histogram and texture features. Reconstruction algorithms showed stronger effects in focal liver lesions than in liver parenchyma or renal cysts. Key Points: • Imaging heterogeneities influenced the quantification of image features. • Different reconstruction algorithms had a significant effect on histogram and texture features. • Solid liver lesions were more affected than liver parenchyma or cysts.

AB - Purpose: To determine the effects of different reconstruction algorithms on histogram and texture features in different targets. Materials and methods: Among 3620 patients, 480 had normal liver parenchyma, 494 had focal solid liver lesions (metastases = 259; hepatocellular carcinoma = 99; hemangioma = 78; abscess = 32; and cholangiocarcinoma = 26), and 488 had renal cysts. CT images were reconstructed with filtered back-projection (FBP), hybrid iterative reconstruction (HIR), and iterative model reconstruction (IMR) algorithms. Computerized histogram and texture analyses were performed by extracting 11 features. Results: Different reconstruction algorithms had distinct, significant effects. IMR had a greater effect than HIR. For instance, IMR had a significant effect on five features of liver parenchyma, nine features of focal liver lesions, and four features of renal cysts on portal-phase scans and four, eight, and four features, respectively, on precontrast scans (p < 0.05). Meanwhile, different algorithms had a greater effect on focal liver lesions (six in HIR and nine in IMR on portal-phase, three in HIR, and eight in IMR on precontrast scans) than on liver parenchyma or cysts. The mean attenuation and standard deviation were not affected by the reconstruction algorithm (p >.05). Most parameters showed good or excellent intra- and interobserver agreement, with intraclass correlation coefficients ranging from 0.634 to 0.972. Conclusions: Different reconstruction algorithms affect histogram and texture features. Reconstruction algorithms showed stronger effects in focal liver lesions than in liver parenchyma or renal cysts. Key Points: • Imaging heterogeneities influenced the quantification of image features. • Different reconstruction algorithms had a significant effect on histogram and texture features. • Solid liver lesions were more affected than liver parenchyma or cysts.

KW - Cyst

KW - Kidney

KW - Liver

KW - Neoplasms

KW - Tomography

UR - http://www.scopus.com/inward/record.url?scp=85056805781&partnerID=8YFLogxK

U2 - 10.1007/s00330-018-5829-9

DO - 10.1007/s00330-018-5829-9

M3 - Article

VL - 29

SP - 4008

EP - 4015

JO - European radiology

JF - European radiology

SN - 0938-7994

IS - 8

ER -