A comparative study on manual and automatic slice-to-volume registration of CT images.
In order to assess the clinical relevance of a slice-to-volume registration algorithm, this technique was compared to manual registration. Reformatted images obtained from a diagnostic CT examination of the lower abdomen were reviewed and manually registered by 41 individuals. The results were refin...
| Publicado en: | European Radiology Vol. 19; no. 11; pp. 2647 - 2654 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105230776&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105230776 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2009 vid: 19 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105230776 44645601 NLM19504108 2010440216 10.1007/s00330-009-1452-0 NLM19504108 PMC2855949 105230776 ppf: 2647 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A comparative study on manual and automatic slice-to-volume registration of CT images. aug: au: Frühwald L Kettenbach J Figl M Hummel J Bergmann H Birkfellner W Frühwald, Laura Kettenbach, Joachim Figl, Michael Hummel, Johann Bergmann, Helmar Birkfellner, Wolfgang affil: Center for Biomedical Engineering and Physics, Medical University Vienna, Vienna, Austria sug: subj: Image Processing, Computer Assisted Methods Tomography, X-Ray Computed Methods Algorithms Automation Biopsy Diagnostic Imaging Methods Human Observer Bias Information Science Methods Specialties, Medical Methods Reference Values Reproducibility of Results ab: In order to assess the clinical relevance of a slice-to-volume registration algorithm, this technique was compared to manual registration. Reformatted images obtained from a diagnostic CT examination of the lower abdomen were reviewed and manually registered by 41 individuals. The results were refined by the algorithm. Furthermore, a fully automatic registration of the single slices to the whole CT examination, without manual initialization, was also performed. The manual registration error for rotation and translation was found to be 2.7+/-2.8 degrees and 4.0+/-2.5 mm. The automated registration algorithm significantly reduced the registration error to 1.6+/-2.6 degrees and 1.3+/-1.6 mm (p = 0.01). In 3 of 41 (7.3%) registration cases, the automated registration algorithm failed completely. On average, the time required for manual registration was 213+/-197 s; automatic registration took 82+/-15 s. Registration was also performed without any human interaction. The resulting registration error of the algorithm without manual pre-registration was found to be 2.9+/-2.9 degrees and 1.1+/-0.2 mm. Here, a registration took 91+/-6 s, on average. Overall, the automated registration algorithm improved the accuracy of manual registration by 59% in rotation and 325% in translation. The absolute values are well within a clinically relevant range. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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