dc.identifier.uri |
http://dx.doi.org/10.15488/461 |
|
dc.identifier.uri |
http://www.repo.uni-hannover.de/handle/123456789/484 |
|
dc.contributor.author |
Frost, Anja
|
|
dc.contributor.author |
Renners, Eike
|
|
dc.contributor.author |
Hötter, Michael
|
|
dc.contributor.author |
Ostermann, Jörn
|
|
dc.date.accessioned |
2016-08-30T10:20:22Z |
|
dc.date.available |
2016-08-30T10:20:22Z |
|
dc.date.issued |
2013-01 |
|
dc.identifier.citation |
Frost, Anja; Renners, Eike; Hoetter, Michael; Ostermann, Joern: Probabilistic Evaluation of Three-Dimensional Reconstructions from X-Ray Images Spanning a Limited Angle. In: Sensors 13 (2013), Nr. 1, S. 137-151. DOI: http://dx.doi.org/10.3390/s130100137 |
|
dc.description.abstract |
An important part of computed tomography is the calculation of a three-dimensional reconstruction of an object from series of X-ray images. Unfortunately, some applications do not provide sufficient X-ray images. Then, the reconstructed objects no longer truly represent the original. Inside of the volumes, the accuracy seems to vary unpredictably. In this paper, we introduce a novel method to evaluate any reconstruction, voxel by voxel. The evaluation is based on a sophisticated probabilistic handling of the measured X-rays, as well as the inclusion of a priori knowledge about the materials that the object receiving the X-ray examination consists of. For each voxel, the proposed method outputs a numerical value that represents the probability of existence of a predefined material at the position of the voxel while doing X-ray. Such a probabilistic quality measure was lacking so far. In our experiment, false reconstructed areas get detected by their low probability. In exact reconstructed areas, a high probability predominates. Receiver Operating Characteristics not only confirm the reliability of our quality measure but also demonstrate that existing methods are less suitable for evaluating a reconstruction. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Basel : Mdpi Ag |
|
dc.relation.ispartofseries |
Sensors 13 (2013), Nr. 1 |
|
dc.rights |
CC BY 3.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/3.0/ |
|
dc.subject |
x-ray |
eng |
dc.subject |
computed tomography |
eng |
dc.subject |
discrete tomography |
eng |
dc.subject |
three-dimensional image reconstruction |
eng |
dc.subject |
limited data |
eng |
dc.subject |
dempster-shafer theory |
eng |
dc.subject |
data fusion |
eng |
dc.subject |
probability calculus |
eng |
dc.subject |
discrete tomography |
eng |
dc.subject |
algorithms |
eng |
dc.subject.ddc |
600 | Technik
|
ger |
dc.subject.ddc |
004 | Informatik
|
ger |
dc.title |
Probabilistic Evaluation of Three-Dimensional Reconstructions from X-Ray Images Spanning a Limited Angle |
eng |
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.issn |
1424-8220 |
|
dc.relation.doi |
http://dx.doi.org/10.3390/s130100137 |
|
dc.bibliographicCitation.issue |
1 |
|
dc.bibliographicCitation.volume |
13 |
|
dc.bibliographicCitation.firstPage |
137 |
|
dc.bibliographicCitation.lastPage |
151 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|