A new cell projection algorithm based on feature region of 3D medical data field

Xinwu Li; Chongyang Hao; Yangyu Fan; Miao Mao; Xiaoxiang Liu

doi:10.1117/12.563225

A new cell projection algorithm based on feature region of 3D medical data field

Xinwu Li, Chongyang Hao, Yangyu Fan, Miao Mao, Xiaoxiang Liu

School of Electronics and Information

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Considering the fuzzy characteristics of medical data field and requests of practicability, the paper presents a novel cell projection algorithm based on edge transition region of medical, 3D data field. First, 3D data field is pretreated to a unitary and integral field, and the paper extends the method of segmenting 2D image and makes it can be used to extract edge transition region of 3D data field. Then, the edge transition region and the non-edge transition region are projected separately. Last, the realization and experiment results show that the algorithm can improve image quality of edge transition region and guarantee rendering speed effectively.

Original language	English
Pages (from-to)	478-483
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5444
DOIs	https://doi.org/10.1117/12.563225
State	Published - 2004
Event	Fourth International Conference on Virtual Reality and Its Applications in Industry - Tianjin, China Duration: 23 Oct 2003 → 25 Oct 2003

Keywords

3D Data Field
Cell Projection
Edge Transition Region

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10.1117/12.563225

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title = "A new cell projection algorithm based on feature region of 3D medical data field",

abstract = "Considering the fuzzy characteristics of medical data field and requests of practicability, the paper presents a novel cell projection algorithm based on edge transition region of medical, 3D data field. First, 3D data field is pretreated to a unitary and integral field, and the paper extends the method of segmenting 2D image and makes it can be used to extract edge transition region of 3D data field. Then, the edge transition region and the non-edge transition region are projected separately. Last, the realization and experiment results show that the algorithm can improve image quality of edge transition region and guarantee rendering speed effectively.",

keywords = "3D Data Field, Cell Projection, Edge Transition Region",

author = "Xinwu Li and Chongyang Hao and Yangyu Fan and Miao Mao and Xiaoxiang Liu",

year = "2004",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Fourth International Conference on Virtual Reality and Its Applications in Industry ; Conference date: 23-10-2003 Through 25-10-2003",

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TY - JOUR

T1 - A new cell projection algorithm based on feature region of 3D medical data field

AU - Li, Xinwu

AU - Hao, Chongyang

AU - Fan, Yangyu

AU - Mao, Miao

AU - Liu, Xiaoxiang

PY - 2004

Y1 - 2004

N2 - Considering the fuzzy characteristics of medical data field and requests of practicability, the paper presents a novel cell projection algorithm based on edge transition region of medical, 3D data field. First, 3D data field is pretreated to a unitary and integral field, and the paper extends the method of segmenting 2D image and makes it can be used to extract edge transition region of 3D data field. Then, the edge transition region and the non-edge transition region are projected separately. Last, the realization and experiment results show that the algorithm can improve image quality of edge transition region and guarantee rendering speed effectively.

AB - Considering the fuzzy characteristics of medical data field and requests of practicability, the paper presents a novel cell projection algorithm based on edge transition region of medical, 3D data field. First, 3D data field is pretreated to a unitary and integral field, and the paper extends the method of segmenting 2D image and makes it can be used to extract edge transition region of 3D data field. Then, the edge transition region and the non-edge transition region are projected separately. Last, the realization and experiment results show that the algorithm can improve image quality of edge transition region and guarantee rendering speed effectively.

KW - 3D Data Field

KW - Cell Projection

KW - Edge Transition Region

UR - http://www.scopus.com/inward/record.url?scp=2442557889&partnerID=8YFLogxK

U2 - 10.1117/12.563225

DO - 10.1117/12.563225

M3 - 会议文章

AN - SCOPUS:2442557889

SN - 0277-786X

VL - 5444

SP - 478

EP - 483

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Fourth International Conference on Virtual Reality and Its Applications in Industry

Y2 - 23 October 2003 through 25 October 2003

ER -

A new cell projection algorithm based on feature region of 3D medical data field

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Keywords

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