Metal artifact reduction algorithm for image quality improvement of cone-beam CT images of medium or large cerebral aneurysms treated with stent-assisted coil embolization

Satoshi Murai, Masafumi Hiramatsu, Yuji Takasugi, Yu Takahashi, Naoya Kidani, Shingo Nishihiro, Yukei Shinji, Jun Haruma, Tomohito Hishikawa, Kenji Sugiu, Isao Date

Research output: Contribution to journalArticle

Abstract

Purpose: The aim of the present study was to assess image quality improvement using a metal artifact reduction (MAR) algorithm in cases of medium or large cerebral aneurysms treated with stent-assisted coil embolization (SAC), and to analyze factors associated with the usefulness of the MAR algorithm. Methods: We retrospectively evaluated the cone-beam computed tomography (CBCT) data sets of 18 patients with cerebral aneurysms treated with SAC. For subjective analysis, images of all cases with and without MAR processing were evaluated by five neurosurgeons based on four criteria using a five-point scale. For objective analysis, the CT values of all cases with and without MAR processing were calculated. In addition, we assessed factors associated with the usefulness of the MAR by analyzing the nine cases in which the median score for criterion 1 improved by more than two points. Results: MAR processing improved the median scores for all four criteria in 17/18 cases (94.4%). Mean CT values of the region of interest at the site influenced by metal artifacts were significantly reduced after MAR processing. The maximum diameter of the coil mass (< 17 mm; odds ratio [OR], 4.0; 95% confidence interval [CI], 1.2–13.9; p = 0.02) and vessel length covered by metal artifacts (< 24 mm; OR, 2.3; 95% CI, 1.1–4.7; p = 0.03) was significantly associated with the usefulness of the MAR. Conclusions: This study suggests the feasibility of a MAR algorithm to improve the image quality of CBCT images in patients who have undergone SAC for medium or large aneurysms.

Original languageEnglish
JournalNeuroradiology
DOIs
Publication statusAccepted/In press - Jan 1 2019

Fingerprint

Cone-Beam Computed Tomography
Intracranial Aneurysm
Quality Improvement
Artifacts
Stents
Metals
Odds Ratio
Confidence Intervals
Feasibility Studies
Statistical Factor Analysis
Aneurysm

Keywords

  • Coil mass
  • Cone-beam CT
  • Metal artifact reduction
  • Stent-assisted coil embolization

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

Cite this

Metal artifact reduction algorithm for image quality improvement of cone-beam CT images of medium or large cerebral aneurysms treated with stent-assisted coil embolization. / Murai, Satoshi; Hiramatsu, Masafumi; Takasugi, Yuji; Takahashi, Yu; Kidani, Naoya; Nishihiro, Shingo; Shinji, Yukei; Haruma, Jun; Hishikawa, Tomohito; Sugiu, Kenji; Date, Isao.

In: Neuroradiology, 01.01.2019.

Research output: Contribution to journalArticle

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title = "Metal artifact reduction algorithm for image quality improvement of cone-beam CT images of medium or large cerebral aneurysms treated with stent-assisted coil embolization",
abstract = "Purpose: The aim of the present study was to assess image quality improvement using a metal artifact reduction (MAR) algorithm in cases of medium or large cerebral aneurysms treated with stent-assisted coil embolization (SAC), and to analyze factors associated with the usefulness of the MAR algorithm. Methods: We retrospectively evaluated the cone-beam computed tomography (CBCT) data sets of 18 patients with cerebral aneurysms treated with SAC. For subjective analysis, images of all cases with and without MAR processing were evaluated by five neurosurgeons based on four criteria using a five-point scale. For objective analysis, the CT values of all cases with and without MAR processing were calculated. In addition, we assessed factors associated with the usefulness of the MAR by analyzing the nine cases in which the median score for criterion 1 improved by more than two points. Results: MAR processing improved the median scores for all four criteria in 17/18 cases (94.4{\%}). Mean CT values of the region of interest at the site influenced by metal artifacts were significantly reduced after MAR processing. The maximum diameter of the coil mass (< 17 mm; odds ratio [OR], 4.0; 95{\%} confidence interval [CI], 1.2–13.9; p = 0.02) and vessel length covered by metal artifacts (< 24 mm; OR, 2.3; 95{\%} CI, 1.1–4.7; p = 0.03) was significantly associated with the usefulness of the MAR. Conclusions: This study suggests the feasibility of a MAR algorithm to improve the image quality of CBCT images in patients who have undergone SAC for medium or large aneurysms.",
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T1 - Metal artifact reduction algorithm for image quality improvement of cone-beam CT images of medium or large cerebral aneurysms treated with stent-assisted coil embolization

AU - Murai, Satoshi

AU - Hiramatsu, Masafumi

AU - Takasugi, Yuji

AU - Takahashi, Yu

AU - Kidani, Naoya

AU - Nishihiro, Shingo

AU - Shinji, Yukei

AU - Haruma, Jun

AU - Hishikawa, Tomohito

AU - Sugiu, Kenji

AU - Date, Isao

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N2 - Purpose: The aim of the present study was to assess image quality improvement using a metal artifact reduction (MAR) algorithm in cases of medium or large cerebral aneurysms treated with stent-assisted coil embolization (SAC), and to analyze factors associated with the usefulness of the MAR algorithm. Methods: We retrospectively evaluated the cone-beam computed tomography (CBCT) data sets of 18 patients with cerebral aneurysms treated with SAC. For subjective analysis, images of all cases with and without MAR processing were evaluated by five neurosurgeons based on four criteria using a five-point scale. For objective analysis, the CT values of all cases with and without MAR processing were calculated. In addition, we assessed factors associated with the usefulness of the MAR by analyzing the nine cases in which the median score for criterion 1 improved by more than two points. Results: MAR processing improved the median scores for all four criteria in 17/18 cases (94.4%). Mean CT values of the region of interest at the site influenced by metal artifacts were significantly reduced after MAR processing. The maximum diameter of the coil mass (< 17 mm; odds ratio [OR], 4.0; 95% confidence interval [CI], 1.2–13.9; p = 0.02) and vessel length covered by metal artifacts (< 24 mm; OR, 2.3; 95% CI, 1.1–4.7; p = 0.03) was significantly associated with the usefulness of the MAR. Conclusions: This study suggests the feasibility of a MAR algorithm to improve the image quality of CBCT images in patients who have undergone SAC for medium or large aneurysms.

AB - Purpose: The aim of the present study was to assess image quality improvement using a metal artifact reduction (MAR) algorithm in cases of medium or large cerebral aneurysms treated with stent-assisted coil embolization (SAC), and to analyze factors associated with the usefulness of the MAR algorithm. Methods: We retrospectively evaluated the cone-beam computed tomography (CBCT) data sets of 18 patients with cerebral aneurysms treated with SAC. For subjective analysis, images of all cases with and without MAR processing were evaluated by five neurosurgeons based on four criteria using a five-point scale. For objective analysis, the CT values of all cases with and without MAR processing were calculated. In addition, we assessed factors associated with the usefulness of the MAR by analyzing the nine cases in which the median score for criterion 1 improved by more than two points. Results: MAR processing improved the median scores for all four criteria in 17/18 cases (94.4%). Mean CT values of the region of interest at the site influenced by metal artifacts were significantly reduced after MAR processing. The maximum diameter of the coil mass (< 17 mm; odds ratio [OR], 4.0; 95% confidence interval [CI], 1.2–13.9; p = 0.02) and vessel length covered by metal artifacts (< 24 mm; OR, 2.3; 95% CI, 1.1–4.7; p = 0.03) was significantly associated with the usefulness of the MAR. Conclusions: This study suggests the feasibility of a MAR algorithm to improve the image quality of CBCT images in patients who have undergone SAC for medium or large aneurysms.

KW - Coil mass

KW - Cone-beam CT

KW - Metal artifact reduction

KW - Stent-assisted coil embolization

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