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Matching Lung Volume Data Sets – A Novel Approach

Wolfgang Recheis
Markus Straub
Jürg Tschirren
Dieter zur Nedden

Sažetak

There is a significant demand in matching CT datasets of the lung. The increasing
number of CT slices per examination due to the higher resolution of modern CT scanners
and the need for quantification of the progress of disease and healing processes in
follow-up studies. A volunteer’s lung was scanned by the means of multidetector CT in
two different states of ventilation. The necessary lung structures for the matching procedure
like lung surface and branching points were segmented. A thin-plate spline method
was used to calculate the matched lung volume. The preliminary results show an
average error of 2 voxel, i.e. 2mm. The calculation of the transformation matrix takes
about one second on a conventional PC, which is considerably faster than other methods
described in literature. The method described may be apt to be introduced in radiological
practice when it comes to compare high resolution CT scans in follow-up studies
quantitatively.

Ključne riječi

computed tomography; lung volume data set matching; non-rigid transformation

Hrčak ID:

28000

URI

https://hrcak.srce.hr/28000

Datum izdavanja:

28.12.2004.

Posjeta: 1.001 *