A segmentation-based method for metal artifact reduction.

A segmentation-based method for metal artifact reduction. Research Abstract Details 

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A segmentation-based method for metal artifact reduction. Abstract Text:

Hengyong Yu,Kai Zeng,Deepak K Bharkhada,Ge Wang,Mark T Madsen,Osama Saba,Bruno Policeni,Matthew A Howard,Wendy R K Smoker,

RATIONALE AND OBJECTIVES: We propose a novel segmentation-based interpolation method to reduce the metal artifacts caused by surgical aneurysm clips. MATERIALS AND METHODS: Our method consists of five steps: coarse image reconstruction, metallic object segmentation, forward-projection, projection interpolation, and final image reconstruction. The major innovations are 2-fold. First, a state-of-the-art mean-shift technique in the computer vision field is used to improve the accuracy of the metallic object segmentation. Second, a feedback strategy is developed in the interpolation step to adjust the interpolated value based on the prior knowledge that the interpolated values should not be larger than the original ones. Physical phantom and real patient datasets are studied to evaluate the efficacy of our method. RESULTS: Compared to the state-of-the-art segmentation-based method designed previously, our method reduces the metal artifacts by 20-40% in terms of the standard deviation and provides more information for the assessment of soft tissues and osseous structures surrounding the surgical clips. CONCLUSION: Mean shift technique and feedback strategy can help to improve the image quality in terms of reducing metal artifacts.

A segmentation-based method for metal artifact reduction. Publishing Authors By Initials

H Yu,K Zeng,DK Bharkhada,G Wang,MT Madsen,O Saba,B Policeni,MA Howard,WR Smoker,

For similar tomography, x-ray computed research abstracts see: tomography, x-ray computed research

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A segmentation-based method for metal artifact reduction. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Academic radiology

VOLUME: 14

Page Numbers: 495-504

Journal Abbreviation:

ISSN: 1076-6332

DAY: 3

MONTH: Apr

YEAR: 2007

A segmentation-based method for metal artifact reduction. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 9440159

A segmentation-based method for metal artifact reduction. Keywords Mesh Terms:

KEYWORDS: Tomography, X-Ray Computed

MESH TERMS: methods

Chemical & Substance for Abstract: A segmentation-based method for metal artifact reduction. Information

Substance Name: Metals

Registry Number: 0

Grant and Affiliation Information for A segmentation-based method for metal artifact reduction.

AFFILIATION: Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Science, Virginia Technical, Blacksburg, VA 24061, USA. hengyongyu@vt.edu

Country: United States

AGENCY: United States NIBIB

GRANT: R33 EB004287-03

ACRONYM: EB

MEDLINETA: Acad Radiol

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