TY  - JOUR
A1  - Ullrich, Sebastian
A1  - Grottke, Oliver
A1  - Rossaint, Rolf
A1  - Staat, Manfred
A1  - Deserno, Thomas M.
A1  - Kuhlen, Torsten
T1  - Virtual Needle Simulation with Haptics for Regional Anaesthesia
Y1  - 2010
N1  - IEEE Virtual Reality 2010, Workshop on Medical Virtual Environments, Waltham, MA, USA, March 21, 2010
SP  - 1
EP  - 3
ER  - 
TY  - JOUR
A1  - Scholl, Ingrid
A1  - Aach, Til
A1  - Deserno, Thomas M.
A1  - Kuhlen, Torsten
T1  - Challenges of medical image processing
JF  - Computer Science - Research and Development
Y1  - 2011
SN  - 1865-2042
VL  - 26
IS  - 1-2
SP  - 5
EP  - 13
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Deserno, Thomas M.
A1  - Aach, Til
A1  - Amunts, Katrin
A1  - Hillen, Walter
A1  - Kuhlen, Torsten
A1  - Scholl, Ingrid
T1  - Advances in medical image processing : A special Issue on the Workshop in Aachen, Germany, March 2010
JF  - Computer Science - Research and Development. 26 (2011), H. 1-2
Y1  - 2011
SN  - 1865-2042
SP  - 1
EP  - 3
PB  - springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Kirstein, Simon
A1  - Müller, Karsten
A1  - Walecki-Mingers, Mark
A1  - Deserno, Thomas M.
T1  - Robust adaptive flow line detection in sewer pipes
JF  - Automation in construction
N2  - As part of a novel approach to automatic sewer inspection, this paper presents a robust algorithm for automatic flow line detection. A large image repository is obtained from about 50,000 m sewers to represent the high variability of real world sewer systems. Automatic image processing combines Canny edge detection, Hough transform for straight lines and cost minimization using Dijkstra's shortest path algorithm. Assuming that flow lines are mostly smoothly connected horizontal structures, piecewise flow line delineation is reduced to a process of selecting adjacent line candidates. Costs are derived from the gap between adjacent candidates and their reliability. A single parameter α enables simple control of the algorithm. The detected flow line may precisely follow the segmented edges (α = 0.0) or minimize gaps at joints (α = 1.0). Both, manual and ground truth-based analysis indicate that α = 0.8 is optimal and independent of the sewer's material. The algorithm forms an essential step to further automation of sewer inspection.
Y1  - 2012
U6  - http://dx.doi.org/10.1016/j.autcon.2011.05.009
SN  - 1872-7891 (E-Journal) ; 0926-5805 (Print)
IS  - 21
SP  - 24
EP  - 31
PB  - Elsevier
CY  - Amsterdam
ER  -