PMID- 17080813
OWN - NLM
STAT- MEDLINE
DCOM- 20070112
LR  - 20191210
IS  - 1077-2626 (Print)
IS  - 1077-2626 (Linking)
VI  - 12
IP  - 5
DP  - 2006 Sep-Oct
TI  - Lines of curvature for polyp detection in virtual colonoscopy.
PG  - 885-92
AB  - Computer-aided diagnosis (CAD) is a helpful addition to laborious visual 
      inspection for preselection of suspected colonic polyps in virtual colonoscopy. 
      Most of the previous work on automatic polyp detection makes use of indicators 
      based on the scalar curvature of the colon wall and can result in many 
      false-positive detections. Our work tries to reduce the number of false-positive 
      detections in the preselection of polyp candidates. Polyp surface shape can be 
      characterized and visualized using lines of curvature. In this paper, we describe 
      techniques for generating and rendering lines of curvature on surfaces and we 
      show that these lines can be used as part of a polyp detection approach. We have 
      adapted existing approaches on explicit triangular surface meshes, and developed 
      a new algorithm on implicit surfaces embedded in 3D volume data. The 
      visualization of shaded colonic surfaces can be enhanced by rendering the derived 
      lines of curvature on these surfaces. Features strongly correlated with 
      true-positive detections were calculated on lines of curvature and used for the 
      polyp candidate selection. We studied the performance of these features on 5 data 
      sets that included 331 pre-detected candidates, of which 50 sites were true 
      polyps. The winding angle had a significant discriminating power for 
      true-positive detections, which was demonstrated by a Wilcoxon rank sum test with 
      p < 0.001. The median winding angle and inter-quartile range (IQR) for true 
      polyps were 7.817 and 6.770 - 9.288 compared to 2.954 and 1.995 - 3.749 for 
      false-positive detections.
FAU - Zhao, Lingxiao
AU  - Zhao L
AD  - Data Visualization Group, Delft University of Technology. zlx@graphics.tudelft.nl
FAU - Botha, Charl P
AU  - Botha CP
FAU - Bescos, Javier O
AU  - Bescos JO
FAU - Truyen, Roel
AU  - Truyen R
FAU - Vos, Frans M
AU  - Vos FM
FAU - Post, Frits H
AU  - Post FH
LA  - eng
PT  - Comparative Study
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - IEEE Trans Vis Comput Graph
JT  - IEEE transactions on visualization and computer graphics
JID - 9891704
SB  - IM
MH  - Algorithms
MH  - Artificial Intelligence
MH  - Cluster Analysis
MH  - Colonic Polyps/*diagnostic imaging
MH  - Colonography, Computed Tomographic/*methods
MH  - *Computer Graphics
MH  - Humans
MH  - Imaging, Three-Dimensional/methods
MH  - Information Storage and Retrieval/methods
MH  - Pattern Recognition, Automated/*methods
MH  - Radiographic Image Enhancement/*methods
MH  - Radiographic Image Interpretation, Computer-Assisted/*methods
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - *User-Computer Interface
EDAT- 2006/11/04 09:00
MHDA- 2007/01/16 09:00
CRDT- 2006/11/04 09:00
PHST- 2006/11/04 09:00 [pubmed]
PHST- 2007/01/16 09:00 [medline]
PHST- 2006/11/04 09:00 [entrez]
AID - 10.1109/TVCG.2006.158 [doi]
PST - ppublish
SO  - IEEE Trans Vis Comput Graph. 2006 Sep-Oct;12(5):885-92. doi: 
      10.1109/TVCG.2006.158.