The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra-low dose thoracic CT

N. S. Paul, J. Blobel, E. Prezelj, P. Burey, A. Ursani, R. J. Menezes, H. Kashani, Jeff Siewerdsen

Research output: Contribution to journalArticle

Abstract

Increased pixel noise and streak artifact reduce CT image quality and limit the potential for radiation dose reduction during CT of the thoracic inlet. We propose to quantify the pixel noise of mediastinal structures in the thoracic inlet, during low-dose (LDCT) and ultralow-dose (uLDCT) thoracic CT, and assess the utility of new software (quantum denoising system and BOOST3D) in addressing these limitations. Twelve patients had LDCT (120 kV, 25 mAs) and uLDCT (120 kV, 10 mAs) images reconstructed initially using standard mediastinal and lung filters followed by the quantum denoising system (QDS) to reduce pixel noise and BOOST3D (B3D) software to correct photon starvation noise as follows: group 1 no QDS, no B3D; group 2 B3D alone; group 3 QDS alone and group 4 both QDS and B3D. Nine regions of interest (ROIs) were replicated on mediastinal anatomy in the thoracic inlet, for each patient resulting in 3456 data points to calculate pixel noise and attenuation. QDS reduced pixel noise by 18.4% (lung images) and 15.8% (mediastinal images) at 25 mAs. B3D reduced pixel noise by ∼8% in the posterior thorax and in combination there was a 35.5% reduction in effective radiation dose (E) for LDCT (1.63-1.05 mSv) in lung images and 32.2% (1.55-1.05 mSv) in mediastinal images. The same combination produced 20.7% reduction (0.53-0.42 mSv) in E for uLDCT, for lung images and 17.3% (0.51-0.42) for mediastinal images. This quantitative analysis of image quality confirms the utility of dedicated processing software in targeting image noise and streak artifact in thoracic LDCT and uLDCT images taken in the thoracic inlet. This processing software potentiates substantial reductions in radiation dose during thoracic LDCT and uLDCT.

Original languageEnglish (US)
Pages (from-to)1363-1380
Number of pages18
JournalPhysics in Medicine and Biology
Volume55
Issue number5
DOIs
StatePublished - 2010
Externally publishedYes

Fingerprint

Artifacts
Thorax
Noise
Software
Lung
Radiation
Starvation
Photons
Anatomy

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra-low dose thoracic CT. / Paul, N. S.; Blobel, J.; Prezelj, E.; Burey, P.; Ursani, A.; Menezes, R. J.; Kashani, H.; Siewerdsen, Jeff.

In: Physics in Medicine and Biology, Vol. 55, No. 5, 2010, p. 1363-1380.

Research output: Contribution to journalArticle

Paul, N. S. ; Blobel, J. ; Prezelj, E. ; Burey, P. ; Ursani, A. ; Menezes, R. J. ; Kashani, H. ; Siewerdsen, Jeff. / The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra-low dose thoracic CT. In: Physics in Medicine and Biology. 2010 ; Vol. 55, No. 5. pp. 1363-1380.
@article{c71aaac44fd54692a206195bc5a3b895,
title = "The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra-low dose thoracic CT",
abstract = "Increased pixel noise and streak artifact reduce CT image quality and limit the potential for radiation dose reduction during CT of the thoracic inlet. We propose to quantify the pixel noise of mediastinal structures in the thoracic inlet, during low-dose (LDCT) and ultralow-dose (uLDCT) thoracic CT, and assess the utility of new software (quantum denoising system and BOOST3D) in addressing these limitations. Twelve patients had LDCT (120 kV, 25 mAs) and uLDCT (120 kV, 10 mAs) images reconstructed initially using standard mediastinal and lung filters followed by the quantum denoising system (QDS) to reduce pixel noise and BOOST3D (B3D) software to correct photon starvation noise as follows: group 1 no QDS, no B3D; group 2 B3D alone; group 3 QDS alone and group 4 both QDS and B3D. Nine regions of interest (ROIs) were replicated on mediastinal anatomy in the thoracic inlet, for each patient resulting in 3456 data points to calculate pixel noise and attenuation. QDS reduced pixel noise by 18.4{\%} (lung images) and 15.8{\%} (mediastinal images) at 25 mAs. B3D reduced pixel noise by ∼8{\%} in the posterior thorax and in combination there was a 35.5{\%} reduction in effective radiation dose (E) for LDCT (1.63-1.05 mSv) in lung images and 32.2{\%} (1.55-1.05 mSv) in mediastinal images. The same combination produced 20.7{\%} reduction (0.53-0.42 mSv) in E for uLDCT, for lung images and 17.3{\%} (0.51-0.42) for mediastinal images. This quantitative analysis of image quality confirms the utility of dedicated processing software in targeting image noise and streak artifact in thoracic LDCT and uLDCT images taken in the thoracic inlet. This processing software potentiates substantial reductions in radiation dose during thoracic LDCT and uLDCT.",
author = "Paul, {N. S.} and J. Blobel and E. Prezelj and P. Burey and A. Ursani and Menezes, {R. J.} and H. Kashani and Jeff Siewerdsen",
year = "2010",
doi = "10.1088/0031-9155/55/5/007",
language = "English (US)",
volume = "55",
pages = "1363--1380",
journal = "Physics in Medicine and Biology",
issn = "0031-9155",
publisher = "IOP Publishing Ltd.",
number = "5",

}

TY - JOUR

T1 - The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra-low dose thoracic CT

AU - Paul, N. S.

AU - Blobel, J.

AU - Prezelj, E.

AU - Burey, P.

AU - Ursani, A.

AU - Menezes, R. J.

AU - Kashani, H.

AU - Siewerdsen, Jeff

PY - 2010

Y1 - 2010

N2 - Increased pixel noise and streak artifact reduce CT image quality and limit the potential for radiation dose reduction during CT of the thoracic inlet. We propose to quantify the pixel noise of mediastinal structures in the thoracic inlet, during low-dose (LDCT) and ultralow-dose (uLDCT) thoracic CT, and assess the utility of new software (quantum denoising system and BOOST3D) in addressing these limitations. Twelve patients had LDCT (120 kV, 25 mAs) and uLDCT (120 kV, 10 mAs) images reconstructed initially using standard mediastinal and lung filters followed by the quantum denoising system (QDS) to reduce pixel noise and BOOST3D (B3D) software to correct photon starvation noise as follows: group 1 no QDS, no B3D; group 2 B3D alone; group 3 QDS alone and group 4 both QDS and B3D. Nine regions of interest (ROIs) were replicated on mediastinal anatomy in the thoracic inlet, for each patient resulting in 3456 data points to calculate pixel noise and attenuation. QDS reduced pixel noise by 18.4% (lung images) and 15.8% (mediastinal images) at 25 mAs. B3D reduced pixel noise by ∼8% in the posterior thorax and in combination there was a 35.5% reduction in effective radiation dose (E) for LDCT (1.63-1.05 mSv) in lung images and 32.2% (1.55-1.05 mSv) in mediastinal images. The same combination produced 20.7% reduction (0.53-0.42 mSv) in E for uLDCT, for lung images and 17.3% (0.51-0.42) for mediastinal images. This quantitative analysis of image quality confirms the utility of dedicated processing software in targeting image noise and streak artifact in thoracic LDCT and uLDCT images taken in the thoracic inlet. This processing software potentiates substantial reductions in radiation dose during thoracic LDCT and uLDCT.

AB - Increased pixel noise and streak artifact reduce CT image quality and limit the potential for radiation dose reduction during CT of the thoracic inlet. We propose to quantify the pixel noise of mediastinal structures in the thoracic inlet, during low-dose (LDCT) and ultralow-dose (uLDCT) thoracic CT, and assess the utility of new software (quantum denoising system and BOOST3D) in addressing these limitations. Twelve patients had LDCT (120 kV, 25 mAs) and uLDCT (120 kV, 10 mAs) images reconstructed initially using standard mediastinal and lung filters followed by the quantum denoising system (QDS) to reduce pixel noise and BOOST3D (B3D) software to correct photon starvation noise as follows: group 1 no QDS, no B3D; group 2 B3D alone; group 3 QDS alone and group 4 both QDS and B3D. Nine regions of interest (ROIs) were replicated on mediastinal anatomy in the thoracic inlet, for each patient resulting in 3456 data points to calculate pixel noise and attenuation. QDS reduced pixel noise by 18.4% (lung images) and 15.8% (mediastinal images) at 25 mAs. B3D reduced pixel noise by ∼8% in the posterior thorax and in combination there was a 35.5% reduction in effective radiation dose (E) for LDCT (1.63-1.05 mSv) in lung images and 32.2% (1.55-1.05 mSv) in mediastinal images. The same combination produced 20.7% reduction (0.53-0.42 mSv) in E for uLDCT, for lung images and 17.3% (0.51-0.42) for mediastinal images. This quantitative analysis of image quality confirms the utility of dedicated processing software in targeting image noise and streak artifact in thoracic LDCT and uLDCT images taken in the thoracic inlet. This processing software potentiates substantial reductions in radiation dose during thoracic LDCT and uLDCT.

UR - http://www.scopus.com/inward/record.url?scp=76849115619&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=76849115619&partnerID=8YFLogxK

U2 - 10.1088/0031-9155/55/5/007

DO - 10.1088/0031-9155/55/5/007

M3 - Article

C2 - 20145292

AN - SCOPUS:76849115619

VL - 55

SP - 1363

EP - 1380

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

IS - 5

ER -