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Erschienen in:
The Complexity of Some Pattern Problems in the Logical Analysis of Large Genomic Data Sets Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Tracking a Real Liver Using a Virtual Liver and an Experimental Evaluation with Kinect v2

verfasst von : Hiroshi Noborio, Kaoru Watanabe, Masahiro Yagi, Yasuhiro Ida, Shigeki Nankaku, Katsuhiko Onishi, Masanao Koeda, Masanori Kon, Kosuke Matsui, Masaki Kaibori

Erschienen in: Bioinformatics and Biomedical Engineering

Verlag: Springer International Publishing

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Abstract

In this study, we propose a smart transcription algorithm for translation and/or rotation motions. This algorithm has two phases: calculating the differences between real and virtual 2D depth images, and searching the motion space defined by three translation and three rotation degrees of freedom based on the depth differences. One depth image is captured for a real liver using a Kinect v2 depth camera and another depth image is obtained for a virtual liver (a polyhedron in stereo-lithography (STL) format by z-buffering with a graphics processing unit). The STL data are converted from Digital Imaging and Communication in Medicine (DICOM) data, where the DICOM data are captured from a patient’s liver using magnetic resonance imaging and/or a computed tomography scanner. In this study, we evaluated the motion precision of our proposed algorithm based on several experiments based using a Kinect v2 depth camera.

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Vorheriges Kapitel Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction
Nächstes Kapitel Thermal Imaging-Based Muscular Activity in the Biomechanical Study of Surgeons
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Metadaten
Titel
Tracking a Real Liver Using a Virtual Liver and an Experimental Evaluation with Kinect v2
verfasst von
Hiroshi Noborio
Kaoru Watanabe
Masahiro Yagi
Yasuhiro Ida
Shigeki Nankaku
Katsuhiko Onishi
Masanao Koeda
Masanori Kon
Kosuke Matsui
Masaki Kaibori
Copyright-Jahr
2016
Buch
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-319-31743-4

Electronic ISBN: 978-3-319-31744-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-31744-1_14