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. 2018 Dec;31(6):799-850.
doi: 10.1007/s10278-018-0101-z.

3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review

L E Carvalho  1   2 , A C Sobieranski  3   4 , A von Wangenheim  5   3
Affiliations

3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review

L E Carvalho et al. J Digit Imaging. 2018 Dec.

Abstract

This paper presents a systematic literature review concerning 3D segmentation algorithms for computerized tomographic imaging. This analysis covers articles published in the range 2006-March 2018 found in four scientific databases (Science Direct, IEEEXplore, ACM, and PubMed), using the methodology for systematic review proposed by Kitchenham. We present the analyzed segmentation methods categorized according to its application, algorithmic strategy, validation, and use of prior knowledge, as well as its general conceptual description. Additionally, we present a general overview, discussions, and further prospects for the 3D segmentation methods applied for tomographic images.

Keywords: 3D segmentation; Computerized tomographic imaging; Kitchenham’s systematic review; Segmentation methods categorization.

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Figures

Fig. 1
Fig. 1
Representation of the method proposed by Javaid. Extracted from [14]
Fig. 2
Fig. 2
Flow from the method proposed by X. Chen. Extracted from [30]
Fig. 3
Fig. 3
Proposed method flow diagram. Extracted from [79]
Fig. 4
Fig. 4
Mask generation method. Extracted from [100]
Fig. 5
Fig. 5
Flowchart from the methodology proposed by Santos. Extracted from [108]
Fig. 6
Fig. 6
Flow diagram summarizing the method proposed by Chaves. Extracted from [112]
Fig. 7
Fig. 7
Flow of the algorithm proposed by Lloréns. Extracted from [116]
Fig. 8
Fig. 8
Scheme of the BCS segmentation algorithm. Extracted from [129]
Fig. 9
Fig. 9
Table with the methods analyzed by Ontiverosa. Extracted from [130]
Fig. 10
Fig. 10
Pizza chart showing the frequency of the main application areas, based on the analyzed works
Fig. 11
Fig. 11
Histogram showing the frequency of the main method used based on the analyzed works grouping
Fig. 12
Fig. 12
Histogram showing the frequency of the analyzed works by year of publication.
See this image and copyright information in PMC

References

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