Software for automated application of a reference-based method for a posteriori determination of the effective radiographic imaging geometry

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • RKW Schulze
  • O Weinheimer
  • DD Brüllmann
  • F Röder
  • B d'Hoedt
  • E Schoemer
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000230375400002&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1259/dmfr/56357032
Externe Identifier
  • Clarivate Analytics Document Solution ID: 943ST
  • PubMed Identifier: 15961593
ISSN
0250-832X
Ausgabe der Veröffentlichung
4
Zeitschrift
DENTOMAXILLOFACIAL RADIOLOGY
Schlüsselwörter
  • radiography, dental, digital
  • technology, radiologic
  • image processing, computer-assisted
Paginierung
205 - 211
Datum der Veröffentlichung
2005
Status
Published
Titel
Software for automated application of a reference-based method for <i>a posteriori</i> determination of the effective radiographic imaging geometry
Sub types
  • Article
Ausgabe der Zeitschrift
34

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Autoren
  • RKW Schulze
  • O Weinheimer
  • DD Brüllmann
  • F Röder
  • B d'Hoedt
  • E Schoemer
DOI
10.1259/dmfr/56357032
eISSN
1476-542X
ISSN
0250-832X
Ausgabe der Veröffentlichung
4
Zeitschrift
Dentomaxillofacial Radiology
Sprache
en
Paginierung
205 - 211
Datum der Veröffentlichung
2005
Status
Published
Herausgeber
Oxford University Press (OUP)
Herausgeber URL
http://dx.doi.org/10.1259/dmfr/56357032
Datum der Datenerfassung
2024
Titel
Software for automated application of a reference-based method for<i>a posteriori</i>determination of the effective radiographic imaging geometry
Ausgabe der Zeitschrift
34

Datenquelle: Crossref

Abstract
<h4>Objectives</h4>Presentation and validation of software developed for automated and accurate application of a reference-based algorithm (reference sphere method: RSM) inferring the effective imaging geometry from quantitative radiographic image analysis.<h4>Methods</h4>The software uses modern pattern recognition and computer vision algorithms adapted for the particular application of automated detection of the reference sphere shadows (ellipses) with subpixel accuracy. It applies the RSM algorithm to the shadows detected, thereby providing three-dimensional Cartesian coordinates of the spheres. If the three sphere centres do not lie on one line, they uniquely determine the imaging geometry. Accuracy of the computed coordinates is investigated in a set of 28 charge-coupled device (CCD)-based radiographs of two human mandible segments produced on an optical bench. Each specimen contained three reference spheres (two different radii r1=1.5 mm, r2=2.5 mm). True sphere coordinates were assessed with a manually operated calliper. Software accuracy was investigated for a weighted and unweighted algebraic ellipse-fitting algorithm.<h4>Results</h4>The critical depth- (z-) coordinates revealed mean absolute errors ranging between 1.1+/-0.7 mm (unweighted version; r=2.5 mm) and 1.4+/-1.4 mm (weighted version, r=2.5 mm), corresponding to mean relative errors between 5% and 6%. Outliers resulted from complete circular dense structure superimposition and one obviously deformed reference sphere.<h4>Conclusions</h4>The software provides information fundamentally important for the image formation and geometric image registration, which is a crucial step for three-dimensional reconstruction from > or =2 two-dimensional views.
Addresses
  • Department of Oral Surgery, Johannes Gutenberg-University, Mainz, Germany. rschulze@mail.uni-mainz.de
Autoren
  • RKW Schulze
  • O Weinheimer
  • DD Brüllmann
  • F Röder
  • B d'Hoedt
  • E Schoemer
DOI
10.1259/dmfr/56357032
eISSN
1476-542X
Externe Identifier
  • PubMed Identifier: 15961593
Open access
false
ISSN
0250-832X
Ausgabe der Veröffentlichung
4
Zeitschrift
Dento maxillo facial radiology
Schlüsselwörter
  • Mandible
  • Humans
  • Imaging, Three-Dimensional
  • Radiography, Dental, Digital
  • Calibration
  • Algorithms
  • Artificial Intelligence
  • Image Processing, Computer-Assisted
  • Software
  • Software Design
  • Software Validation
  • Pattern Recognition, Automated
Sprache
eng
Medium
Print
Paginierung
205 - 211
Datum der Veröffentlichung
2005
Status
Published
Datum der Datenerfassung
2005
Titel
Software for automated application of a reference-based method for a posteriori determination of the effective radiographic imaging geometry.
Sub types
  • Research Support, Non-U.S. Gov't
  • Journal Article
Ausgabe der Zeitschrift
34

Datenquelle: Europe PubMed Central

Abstract
OBJECTIVES: Presentation and validation of software developed for automated and accurate application of a reference-based algorithm (reference sphere method: RSM) inferring the effective imaging geometry from quantitative radiographic image analysis. METHODS: The software uses modern pattern recognition and computer vision algorithms adapted for the particular application of automated detection of the reference sphere shadows (ellipses) with subpixel accuracy. It applies the RSM algorithm to the shadows detected, thereby providing three-dimensional Cartesian coordinates of the spheres. If the three sphere centres do not lie on one line, they uniquely determine the imaging geometry. Accuracy of the computed coordinates is investigated in a set of 28 charge-coupled device (CCD)-based radiographs of two human mandible segments produced on an optical bench. Each specimen contained three reference spheres (two different radii r1=1.5 mm, r2=2.5 mm). True sphere coordinates were assessed with a manually operated calliper. Software accuracy was investigated for a weighted and unweighted algebraic ellipse-fitting algorithm. RESULTS: The critical depth- (z-) coordinates revealed mean absolute errors ranging between 1.1+/-0.7 mm (unweighted version; r=2.5 mm) and 1.4+/-1.4 mm (weighted version, r=2.5 mm), corresponding to mean relative errors between 5% and 6%. Outliers resulted from complete circular dense structure superimposition and one obviously deformed reference sphere. CONCLUSIONS: The software provides information fundamentally important for the image formation and geometric image registration, which is a crucial step for three-dimensional reconstruction from > or =2 two-dimensional views.
Autoren
  • RKW Schulze
  • O Weinheimer
  • DD Brüllmann
  • F Röder
  • B d'Hoedt
  • E Schoemer
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/15961593
DOI
10.1259/dmfr/56357032
ISSN
0250-832X
Ausgabe der Veröffentlichung
4
Zeitschrift
Dentomaxillofac Radiol
Schlüsselwörter
  • Algorithms
  • Artificial Intelligence
  • Calibration
  • Humans
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Mandible
  • Pattern Recognition, Automated
  • Radiography, Dental, Digital
  • Software
  • Software Design
  • Software Validation
Sprache
eng
Country
England
Paginierung
205 - 211
PII
34/4/205
Datum der Veröffentlichung
2005
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2005
Titel
Software for automated application of a reference-based method for a posteriori determination of the effective radiographic imaging geometry.
Sub types
  • Journal Article
  • Research Support, Non-U.S. Gov't
Ausgabe der Zeitschrift
34

Datenquelle: PubMed

Autoren
  • RKW Schulze
  • O Weinheimer
  • DD Brüllmann
  • F Röder
  • B D’Hoedt
  • E Schoemer
DOI
10.1259/dmfr/56357032
ISSN
0250-832X
Zeitschrift
Dentomaxillofacial Radiology
Artikelnummer
4
Paginierung
205 - 211
Datum der Veröffentlichung
2005
Herausgeber URL
http://www.birpublications.org/doi/10.1259/dmfr/56357032
Datum der Datenerfassung
2023
Titel
Software for automated application of a reference-based method for a posteriori determination of the effective radiographic imaging geometry
Sub types
  • article
Ausgabe der Zeitschrift
34

Datenquelle: Manual

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