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The Complexity of Some Pattern Problems in the Logical Analysis of Large Genomic Data Sets Read chapter Read first chapter

2016 | OriginalPaper | Chapter

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

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

Published in: Bioinformatics and Biomedical Engineering

Publisher: 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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previous chapter Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction
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Metadata
Title
Tracking a Real Liver Using a Virtual Liver and an Experimental Evaluation with Kinect v2
Authors
Hiroshi Noborio
Kaoru Watanabe
Masahiro Yagi
Yasuhiro Ida
Shigeki Nankaku
Katsuhiko Onishi
Masanao Koeda
Masanori Kon
Kosuke Matsui
Masaki Kaibori
Copyright Year
2016
Book
Bioinformatics and Biomedical Engineering

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

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

Copyright Year: 2016

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

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