Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery

Mustafa Elattar; Floortje van Kesteren; Esther Wiegerinck; Ed van Bavel; Jan Baan; Riccardo Cocchieri; Nils Planken; Henk Marquering

doi:https://doi.org/10.1007/978-3-319-20801-5_60

Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery

Mustafa Elattar, Floortje van Kesteren, Esther Wiegerinck, Ed van Bavel, Jan Baan, Riccardo Cocchieri, Nils Planken, Henk Marquering

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

Abstract

The minimally invasive aortic valve replacement procedure provides a good alternative to conventional open heart surgery. Currently, Planning of the mini-AVR is supported by the selection of closest intercostal space to the sinutubular junction manually. In this work, we automate and standardize this planning by automatically detecting the intercostal spaces and the sinutubular junction, from which we calculate the closest incision location. The proposed algorithm provides qualitatively and quantitative accurate results; where the sinutubular junction detection has mean error of 3.4 mm. This work has the potential to be implemented in the clinical practice for reproducible and accurate mini-AVR planning

Original language	English
Pages (from-to)	536-540
Journal	LECTURE NOTES IN COMPUTER SCIENCE
Volume	9164
DOIs	https://doi.org/10.1007/978-3-319-20801-5_60
Publication status	Published - 2015

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https://doi.org/10.1007/978-3-319-20801-5_60

Cite this

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title = "Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery",

abstract = "The minimally invasive aortic valve replacement procedure provides a good alternative to conventional open heart surgery. Currently, Planning of the mini-AVR is supported by the selection of closest intercostal space to the sinutubular junction manually. In this work, we automate and standardize this planning by automatically detecting the intercostal spaces and the sinutubular junction, from which we calculate the closest incision location. The proposed algorithm provides qualitatively and quantitative accurate results; where the sinutubular junction detection has mean error of 3.4 mm. This work has the potential to be implemented in the clinical practice for reproducible and accurate mini-AVR planning",

author = "Mustafa Elattar and {van Kesteren}, Floortje and Esther Wiegerinck and {van Bavel}, Ed and Jan Baan and Riccardo Cocchieri and Nils Planken and Henk Marquering",

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doi = "https://doi.org/10.1007/978-3-319-20801-5_60",

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T1 - Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery

AU - Elattar, Mustafa

AU - van Kesteren, Floortje

AU - Wiegerinck, Esther

AU - van Bavel, Ed

AU - Baan, Jan

AU - Cocchieri, Riccardo

AU - Planken, Nils

AU - Marquering, Henk

PY - 2015

Y1 - 2015

N2 - The minimally invasive aortic valve replacement procedure provides a good alternative to conventional open heart surgery. Currently, Planning of the mini-AVR is supported by the selection of closest intercostal space to the sinutubular junction manually. In this work, we automate and standardize this planning by automatically detecting the intercostal spaces and the sinutubular junction, from which we calculate the closest incision location. The proposed algorithm provides qualitatively and quantitative accurate results; where the sinutubular junction detection has mean error of 3.4 mm. This work has the potential to be implemented in the clinical practice for reproducible and accurate mini-AVR planning

AB - The minimally invasive aortic valve replacement procedure provides a good alternative to conventional open heart surgery. Currently, Planning of the mini-AVR is supported by the selection of closest intercostal space to the sinutubular junction manually. In this work, we automate and standardize this planning by automatically detecting the intercostal spaces and the sinutubular junction, from which we calculate the closest incision location. The proposed algorithm provides qualitatively and quantitative accurate results; where the sinutubular junction detection has mean error of 3.4 mm. This work has the potential to be implemented in the clinical practice for reproducible and accurate mini-AVR planning

U2 - https://doi.org/10.1007/978-3-319-20801-5_60

DO - https://doi.org/10.1007/978-3-319-20801-5_60

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JO - LECTURE NOTES IN COMPUTER SCIENCE

JF - LECTURE NOTES IN COMPUTER SCIENCE

ER -