Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems

Objective. To demonstrate a novel approach of compensating overexposure artifacts in CT scans of the knees without attaching any supporting appliances to the patient. C-Arm CT systems offer the opportunity to perform weight-bearing knee scans on standing patients to diagnose diseases like osteoarthr...

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Main Authors: Johannes Rausch, Andreas Maier, Rebecca Fahrig, Jang-Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2016/2502486
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spelling doaj-8409496e616f437d8c7081995d5eae7d2020-11-24T23:22:40ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962016-01-01201610.1155/2016/25024862502486Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT SystemsJohannes Rausch0Andreas Maier1Rebecca Fahrig2Jang-Hwan Choi3Waldo Hinshaw4Frank Schebesch5Sven Haase6Jakob Wasza7Joachim Hornegger8Christian Riess9Pattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, GermanyPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, GermanyDepartment of Radiology, Stanford University, Stanford, CA 94305, USADepartment of Radiology, Stanford University, Stanford, CA 94305, USADepartment of Radiology, Stanford University, Stanford, CA 94305, USAPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, GermanyPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, GermanyPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, GermanyPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, GermanyDepartment of Radiology, Stanford University, Stanford, CA 94305, USAObjective. To demonstrate a novel approach of compensating overexposure artifacts in CT scans of the knees without attaching any supporting appliances to the patient. C-Arm CT systems offer the opportunity to perform weight-bearing knee scans on standing patients to diagnose diseases like osteoarthritis. However, one serious issue is overexposure of the detector in regions close to the patella, which can not be tackled with common techniques. Methods. A Kinect camera is used to algorithmically remove overexposure artifacts close to the knee surface. Overexposed near-surface knee regions are corrected by extrapolating the absorption values from more reliable projection data. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates. Results. Artifacts at both knee phantoms are reduced significantly in the reconstructed data and a major part of the truncated regions is restored. Conclusion. The results emphasize the feasibility of the proposed approach. The accuracy of the cross-calibration procedure can be increased to further improve correction results. Significance. The correction method can be extended to a multi-Kinect setup for use in real-world scenarios. Using depth cameras does not require prior scans and offers the possibility of a temporally synchronized correction of overexposure artifacts. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates.http://dx.doi.org/10.1155/2016/2502486
collection DOAJ
language English
format Article
sources DOAJ
author Johannes Rausch
Andreas Maier
Rebecca Fahrig
Jang-Hwan Choi
Waldo Hinshaw
Frank Schebesch
Sven Haase
Jakob Wasza
Joachim Hornegger
Christian Riess
spellingShingle Johannes Rausch
Andreas Maier
Rebecca Fahrig
Jang-Hwan Choi
Waldo Hinshaw
Frank Schebesch
Sven Haase
Jakob Wasza
Joachim Hornegger
Christian Riess
Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
International Journal of Biomedical Imaging
author_facet Johannes Rausch
Andreas Maier
Rebecca Fahrig
Jang-Hwan Choi
Waldo Hinshaw
Frank Schebesch
Sven Haase
Jakob Wasza
Joachim Hornegger
Christian Riess
author_sort Johannes Rausch
title Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
title_short Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
title_full Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
title_fullStr Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
title_full_unstemmed Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
title_sort kinect-based correction of overexposure artifacts in knee imaging with c-arm ct systems
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2016-01-01
description Objective. To demonstrate a novel approach of compensating overexposure artifacts in CT scans of the knees without attaching any supporting appliances to the patient. C-Arm CT systems offer the opportunity to perform weight-bearing knee scans on standing patients to diagnose diseases like osteoarthritis. However, one serious issue is overexposure of the detector in regions close to the patella, which can not be tackled with common techniques. Methods. A Kinect camera is used to algorithmically remove overexposure artifacts close to the knee surface. Overexposed near-surface knee regions are corrected by extrapolating the absorption values from more reliable projection data. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates. Results. Artifacts at both knee phantoms are reduced significantly in the reconstructed data and a major part of the truncated regions is restored. Conclusion. The results emphasize the feasibility of the proposed approach. The accuracy of the cross-calibration procedure can be increased to further improve correction results. Significance. The correction method can be extended to a multi-Kinect setup for use in real-world scenarios. Using depth cameras does not require prior scans and offers the possibility of a temporally synchronized correction of overexposure artifacts. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates.
url http://dx.doi.org/10.1155/2016/2502486
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