3D reconstruction of internal organ surfaces for minimal invasive surgery.

3D reconstruction of internal organ surfaces for minimal invasive surgery. Research Abstract Details 

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3D reconstruction of internal organ surfaces for minimal invasive surgery. Abstract Text:

Mingxing Hu,Graeme Penney,Philip Edwards,Michael Figl,David Hawkes,Mingxing Hu,Graeme Penney,Philip Edwards,Michael Figl,David Hawkes,

While Minimally Invasive Surgery (MIS) offers great benefits to patients compared with open surgery surgeons suffer from a restricted field-of-view and obstruction from instruments. We present a novel method for 3D reconstruction of soft tissue, which can provide a wider field-of-view with 3D information for surgeons, including restoration of missing data. The paper focuses on the use of Structure from Motion (SFM) techniques to solve the missing data problem and application of competitive evolutionary agents to improve the robustness to missing data and outliers. The method has been evaluated with synthetic data, images from a phantom heart model, and in vivo MIS image sequences using the da Vinci telerobotic surgical system.

3D reconstruction of internal organ surfaces for minimal invasive surgery. Publishing Authors By Initials

M Hu,G Penney,P Edwards,M Figl,D Hawkes,M Hu,G Penney,P Edwards,M Figl,D Hawkes,

For similar body regions: viscera research abstracts see: body regions: viscera research

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3D reconstruction of internal organ surfaces for minimal invasive surgery. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Medical image computing and computer-assisted inte

VOLUME: 10

Page Numbers: 68-77

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DAY: 3

MONTH: 01

YEAR: 2007

3D reconstruction of internal organ surfaces for minimal invasive surgery. Information

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LANGUAGE: eng

NlmUniqueID: 101249582

3D reconstruction of internal organ surfaces for minimal invasive surgery. Keywords Mesh Terms:

KEYWORDS: Viscera

MESH TERMS: surgery

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Grant and Affiliation Information for 3D reconstruction of internal organ surfaces for minimal invasive surgery.

AFFILIATION: Centre for Medical Image Computing, University College London. mingxing.hu@ucl.ac.uk

Country: Germany

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MEDLINETA: Med Image Comput Comput Assist

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