Evidence map›Paper›PMID 32355650›Full record

ArticleQuantitative imaging in medicine and surgery2020

Three-dimensional organ extraction method for color volume image based on the closed-form solution strategy.

Bin Liu, Xiaohui Zhang, Liang Yang, Jianxin Zhang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bin LiuInternational School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian 116024, China.
Xiaohui ZhangInternational School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian 116024, China.
Liang YangThe Second Hospital of Dalian Medical University, Dalian Medical University, Dalian 116044, China.
Jianxin ZhangKey Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian 116622, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid development of computer technology, surgical training, and the digitalized teaching of human body morphology are gaining prominence in medical education. Accurate, true organ models are essential digital material for these computer-assisted systems. However, no direct three-dimensional (3D) true organ model acquisition method currently exists. Thus, the direct extraction of the interested organ models based on the existing Virtual Human Project (VHP) image set is urgently needed. In this paper, a closed-form solution-based volume matting method is proposed. Using a small quantity of graffiti in the foreground and background, target 3D regions can be extracted by closed-form solution computing. The upper triangular storage strategy and the preconditioned conjugate-gradient (PCG) method also promote robustness. Four image data sets (2 virtual human male and 2 virtual human female) from the United States National Library of Medicine (including brain slices, eye slices, lung slices, heart slices, liver slices, kidney slices, spine slices, arm slices, vastus slices, and foot slices) were selected to extract the 3D volume organ models. The experimental results show that the extracted 3D organs were acceptable and satisfactory. This method may provide technical support for medical and other scientific research fields.

Indexed as

closed-form solutioncolor volume imageimage mattingVirtual Human Project (VHP)

Identifiers

PMID32355650
PMCPMC7188608

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