Publikationen

@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}

}

@article{KonSch07,

title = {Robust registration procedures for endoscopic imaging},

author = { Wolfgang Konen and Martin Scholz and Stephan Tombrock},

url = {http://www.gm.fh-koeln.de/~konen/Publikationen/KonenTombrockScholz2007-rev2.pdf},

doi = {10.1016/j.media.2007.04.006},

year  = {2007},

date = {2007-12-01},

journal = {Medical Image Analysis},

volume = {11},

number = {6},

pages = {526-539},

keywords = {BV-3D-Endo, computer vision, image mosaic},

pubstate = {published},

tppubtype = {article}

}

@article{SchDF05,

title = {Consideration of ergonomic aspects in the development of a new endoscopic navigation system},

author = {Scholz, Martin and Dick, S. and Fricke, Britta and Engelhardt, M. and Tombrock, Stephan and Pechlivanis, I. and Harders, Albrecht and Konen, Wolfgang},

year  = {2005},

date = {2005-01-01},

journal = {British Journal of Neurosurgery},

volume = {19},

number = {5},

pages = {402-408},

keywords = {BV-3D-Endo, computer vision, image mosaic, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@article{SchTK05,

title = {Application of a newly developed visual navigation system in humans - first results},

author = {Scholz, Martin and Tombrock, Stephan and Konen, Wolfgang and Fricke, Britta and others},

url = {http://www.gm.fh-koeln.de/~konen/Publikationen/scholz-mins-2005.pdf},

year  = {2005},

date = {2005-01-01},

journal = {Minimal Invasive Neurosurgery},

volume = {48},

pages = {1-6},

keywords = {BV-3D-Endo, computer vision, image mosaic, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@article{SchFT00a,

title = {Virtual image navigation: a new method to control intraoperative bleeding in neuroendoscopic surgery: Case Reports And Technical Notes},

author = {Scholz, Martin and Fricke, Britta and Tombrock, Stephan and Hardenack, Markus and Schmieder, Kirsten and von Düring, Monika and Konen, Wolfgang and Harders, Albrecht},

year  = {2000},

date = {2000-01-01},

journal = {Journal of Neurosurgery},

volume = {93},

pages = {342-350},

keywords = {BV-3D-Endo, computer vision, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@article{SchFT00b,

title = {Virtual image navigation: a new method to control intraoperative bleeding in neuroendoscopic surgery},

author = {Scholz, Martin and Fricke, Britta and Tombrock, Stephan and Hardenack, Markus and Schmieder, Kirsten and von Düring, Monika and Konen, Wolfgang and Harders, Albrecht},

url = {http://www.gm.fh-koeln.de/~konen/Publikationen/JournNeurSurg2000.pdf},

year  = {2000},

date = {2000-01-01},

journal = {Neurosurgical Focus, JNS Preview Article},

volume = {8},

number = {6},

pages = {342-350},

keywords = {BV-3D-Endo, computer vision, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@article{SchHK999,

title = {Navigation in neuroendoscopy},

author = {Scholz, Martin and Hardenack, Markus and Konen, Wolfgang and Fricke, Britta and von D"uring, Monika and Heuser, Lothar and Harders, Albrecht},

year  = {1999},

date = {1999-01-01},

journal = {Minimally Invasive Therapy & Allied Technologies},

volume = {8},

number = {5},

pages = {309--316},

publisher = {Informa UK Ltd UK},

keywords = {BV-3D-Endo, computer vision, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@article{KonST98a,

title = {The VN-project : Endoscopic image processing for neurosurgery},

author = {Konen, Wolfgang and Scholz, Martin and Tombrock, Stephan},

url = {http://www.gm.fh-koeln.de/~konen/Publikationen/konen-CAS_Harder98.pdf},

year  = {1998},

date = {1998-01-01},

journal = {Computer Aided Surgery},

volume = {3},

number = {3},

pages = {144-148},

keywords = {BV-3D-Endo, computer vision, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@article{SchKT98e,

title = {Development of an endoscopic navigation system based on digital image processing},

author = {Scholz, Martin and Konen, Wolfgang and Tombrock, Stephan and Fricke, Britta and Adams, L. and von Düring, Monika and others},

year  = {1998},

date = {1998-01-01},

journal = {Computer Aided Surgery},

volume = {2},

number = {6},

pages = {1-6},

keywords = {BV-3D-Endo, computer vision, neuroendoscopy},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{KonSch07,

title = {Robust registration procedures for endoscopic imaging},

author = { Wolfgang Konen and Martin Scholz and Stephan Tombrock},

url = {http://www.gm.fh-koeln.de/~konen/Publikationen/KonenTombrockScholz2007-rev2.pdf},

doi = {10.1016/j.media.2007.04.006},

year  = {2007},

date = {2007-12-01},

journal = {Medical Image Analysis},

volume = {11},

number = {6},

pages = {526-539},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SchDF05,

title = {Consideration of ergonomic aspects in the development of a new endoscopic navigation system},

author = {Scholz, Martin and Dick, S. and Fricke, Britta and Engelhardt, M. and Tombrock, Stephan and Pechlivanis, I. and Harders, Albrecht and Konen, Wolfgang},

year  = {2005},

date = {2005-01-01},

journal = {British Journal of Neurosurgery},

volume = {19},

number = {5},

pages = {402-408},

keywords = {},

pubstate = {published},

tppubtype = {article}

}