eprintid: 26189
rev_number: 13
eprint_status: archive
userid: 1589
dir: disk0/00/02/61/89
datestamp: 2019-05-22 15:19:09
lastmod: 2024-05-09 01:09:34
status_changed: 2019-05-22 15:19:09
type: article
metadata_visibility: show
creators_name: Skornitzke, Stephan
creators_name: Raddatz, Jacek
creators_name: Bahr, André
creators_name: Pahn, Gregor
creators_name: Kauczor, Hans-Ulrich
creators_name: Stiller, Wolfram
title: Experimental application of an automated alignment correction algorithm for geological CT imaging: phantom study and application to sediment cores from cold-water coral mounds
subjects: 610
divisions: 911400
keywords: Alignment correction, Cold-water corals, Phantoms (imaging), Sediment core, Tomography (x-ray computed)
abstract: Background: In computed tomography (CT) quality assurance, alignment of image quality phantoms is crucial for quantitative and reproducible evaluation and may be improved by alignment correction. Our goal was to develop an alignment correction algorithm to facilitate geological sampling of sediment cores taken from a cold-water coral mount.

Methods: An alignment correction algorithm was developed and tested with a CT acquisition at 120 kVp and 150 mAs of an image quality phantom. Random translation (maximum 15 mm) and rotation (maximum 2.86°) were applied and ground-truth was compared to parameters determined by alignment correction. Furthermore, mean densities were evaluated in four regions of interest (ROIs) placed in the phantom low-contrast section, comparing values before and after correction to ground truth. This process was repeated 1000 times. After validation, alignment correction was applied to CT acquisitions (140 kVp, 570 mAs) of sediment core sections up to 1 m in length, and sagittal reconstructions were calculated for sampling planning.

Results: In the phantom, average absolute differences between applied and detected parameters after alignment correction were 0.01 ± 0.06 mm (mean ± standard deviation) along the x-axis, 0.11 ± 0.08 mm along the y-axis, 0.15 ± 0.07° around the x-axis, and 0.02 ± 0.02° around the y-axis, respectively. For ROI analysis, differences in densities were 63.12 ± 30.57, 31.38 ± 32.10, 18.27 ± 35.57, and 9.59 ± 26.37 HU before alignment correction and 1.22 ± 1.40, 0.76 ± 0.9, 0.45 ± 0.86, and 0.36 ± 0.48 HU after alignment correction, respectively. For sediment core segments, average absolute detected parameters were 3.93 ± 2.89 mm, 7.21 ± 2.37 mm, 0.37 ± 0.33°, and 0.21 ± 0.22°, respectively.

Conclusions: The alignment correction algorithm was successfully evaluated in the phantom and allowed a correct alignment of sediment core segments, thus aiding in sampling planning. Application to other tasks, like image quality analysis, seems possible.
date: 2019
publisher: Springer International Publishing
id_scheme: DOI
ppn_swb: 1666628476
own_urn: urn:nbn:de:bsz:16-heidok-261890
language: eng
bibsort: SKORNITZKEEXPERIMENT2019
full_text_status: public
publication: European Radiology Experimental
volume: 3
number: 12
place_of_pub: Cham
pagerange: 1-8
issn: 2509-9280
citation:   Skornitzke, Stephan ; Raddatz, Jacek ; Bahr, André ; Pahn, Gregor ; Kauczor, Hans-Ulrich ; Stiller, Wolfram  (2019) Experimental application of an automated alignment correction algorithm for geological CT imaging: phantom study and application to sediment cores from cold-water coral mounds.  European Radiology Experimental, 3 (12).  pp. 1-8.  ISSN 2509-9280     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/26189/1/41747_2019_Article_91.pdf