2016
Konen, Wolfgang
Illumination-invariant image mosaic calculation based on logarithmic search Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2016, (e-print published at http://arxiv.org/abs/1603.06433).
Links | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy
@techreport{Kone16a,
title = {Illumination-invariant image mosaic calculation based on logarithmic search},
author = { Wolfgang Konen},
url = {http://arxiv.org/abs/1603.06433},
year = {2016},
date = {2016-03-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {e-print published at http://arxiv.org/abs/1603.06433},
keywords = {BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy},
pubstate = {published},
tppubtype = {techreport}
}
2014
Liebig, Kay N.; Maslehaty, Homajoun; Petridis, Athanasios K.; Konen, Wolfgang; Scholz, Martin
Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy Journal Article
In: Journal of Neurosurgery, vol. 121, no. 3, S. 688 – 699, 2014.
Abstract | Links | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy
@article{Lieb14,
title = {Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy},
author = { Kay N. Liebig and Homajoun Maslehaty and Athanasios K. Petridis and Wolfgang Konen and Martin Scholz},
doi = {10.3171/2014.5.JNS121788},
year = {2014},
date = {2014-09-01},
journal = {Journal of Neurosurgery},
volume = {121},
number = {3},
pages = {688 -- 699},
abstract = {OBJECT:
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.},
keywords = {BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy},
pubstate = {published},
tppubtype = {article}
}
OBJECT:
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.
Suchfeld
1.
Konen, Wolfgang
Illumination-invariant image mosaic calculation based on logarithmic search Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2016, (e-print published at http://arxiv.org/abs/1603.06433).
@techreport{Kone16a,
title = {Illumination-invariant image mosaic calculation based on logarithmic search},
author = { Wolfgang Konen},
url = {http://arxiv.org/abs/1603.06433},
year = {2016},
date = {2016-03-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {e-print published at http://arxiv.org/abs/1603.06433},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
2.
Liebig, Kay N.; Maslehaty, Homajoun; Petridis, Athanasios K.; Konen, Wolfgang; Scholz, Martin
Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy Journal Article
In: Journal of Neurosurgery, vol. 121, no. 3, S. 688 – 699, 2014.
@article{Lieb14,
title = {Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy},
author = { Kay N. Liebig and Homajoun Maslehaty and Athanasios K. Petridis and Wolfgang Konen and Martin Scholz},
doi = {10.3171/2014.5.JNS121788},
year = {2014},
date = {2014-09-01},
journal = {Journal of Neurosurgery},
volume = {121},
number = {3},
pages = {688 -- 699},
abstract = {OBJECT:
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
OBJECT:
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.
Neuroendoscopy is used more and more frequently in neurosurgical procedures
and has become an important tool in the neurosurgical armamentarium.
However, the main restriction of neuroendoscopy is the limited field
of view. A better overview of the area of interest would increase
surgical safety and decrease procedure-related morbidity rates. In
the present study, the authors aimed to improve this restriction
by using and comparing two algorithms to create endoscopic panoramic
images, which increase the field of view during neuroendoscopic procedures.
METHODS:
Different endoscopic methods with or without a stand and with linear
or circular endoscope movements were performed in cadaveric ventricles.
Video of the endoscopy was used to create image mosaics of the lateral
ventricle with the help of the Kourogi or LogSearch (LS) algorithm.
In the LS algorithm, different template sizes were used. Three observers
graded the quality of the image mosaic in terms of usefulness in
surgery. The fastest frame rate was 3-4 frames/second.
RESULTS:
The LS algorithm with a larger template size showed significantly
better results for the creation of image mosaics than the Kourogi
algorithm in linear endoscopic movement with or without a stand.
In circular endoscopic movements, the results seemed to be better
with the LS algorithm but were not significantly different from those
obtained with the Kourogi algorithm. In summary, image quality in
the experimental paradigms was satisfying.
CONCLUSIONS:
Results in the study showed that the creation of image mosaics is
possible and reliable with the featured algorithms. Image mosaicking
is an applicable device for neuroendoscopy and can increase the field
of view during endoscopic procedures. Its use can increase the safety
and the field of application of neuroendoscopy. However, faster frame
rates will be required to create a smooth image for practical use
during surgery.
