FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022069345> ?p ?o ?g. }

• W2022069345 endingPage "297" @default.
• W2022069345 startingPage "293" @default.
• W2022069345 abstract "In Brief Study Design. Magnetic resonance (MR) and three-dimensional rotational x-ray (3DRX) images of cadaveric spinal segments were registered using a conventional point-based technique and a noninvasive technique called maximization of mutual information (MMI). Objectives. To assess the feasibility and accuracy of MMI-based registration in comparison with point-based registration as a new noninvasive image-to-patient registration technique for use in minimally invasive image-guided spine surgery. Summary of Background Data. In image-guided orthopedic surgery, correspondence between before surgery acquired images and the patient is required. Currently, this necessitates an invasive registration step, in which anatomic landmarks on the bone surface have to be physically touched by a pointer. To overcome this invasive procedure, we propose using a calibrated 3DRX system, a modality that can visualize high contrast objects intraoperatively and that provides a direct correspondence between the image data and the patient. A noninvasive voxel-based technique is used to register the intraoperative 3DRX image to a before surgery acquired MR image. Methods. Cadaveric thoracic and lumbar spine segments were implanted with markers, which were used as landmarks. The accuracy of the landmark-based registration was compared with MMI-based registration using the residual errors on the marker positions. Results. The errors made using the point-based registration technique were compared with the errors made with MMI. The results show a statistically significant lower error (P < 0.01) for the proposed MMI method. Conclusions. Noninvasive MMI registration of intraoperative 3DRX images to preoperative MR images is more accurate than point-based registration in cadaveric spine segments. It is therefore a promising technique for replacing the invasive landmark-based registration that is currently used in image-guided spine surgery. A noninvasive patient-to-image registration technique for image-guided spine surgery is proposed. Intraoperatively acquired three-dimensional rotational x-ray data of spinal segments are registered to preoperative magnetic resonance data using maximization of mutual information. The automated registration shows statistically significant lower errors than conventional point-based registration." @default.
• W2022069345 created "2016-06-24" @default.
• W2022069345 creator A5018186802 @default.
• W2022069345 creator A5021284732 @default.
• W2022069345 creator A5023450148 @default.
• W2022069345 creator A5027416456 @default.
• W2022069345 creator A5033933581 @default.
• W2022069345 creator A5037138999 @default.
• W2022069345 date "2004-02-01" @default.
• W2022069345 modified "2023-10-13" @default.
• W2022069345 title "Noninvasive Magnetic Resonance to Three-Dimensional Rotational X-Ray Registration of Vertebral Bodies for Image-Guided Spine Surgery" @default.
• W2022069345 cites W1513284079 @default.
• W2022069345 cites W1564178378 @default.
• W2022069345 cites W1874027545 @default.
• W2022069345 cites W1970155855 @default.
• W2022069345 cites W1988874269 @default.
• W2022069345 cites W2010263265 @default.
• W2022069345 cites W2012585457 @default.
• W2022069345 cites W2024323088 @default.
• W2022069345 cites W2026094260 @default.
• W2022069345 cites W2031048074 @default.
• W2022069345 cites W2034432063 @default.
• W2022069345 cites W2057543941 @default.
• W2022069345 cites W2064673484 @default.
• W2022069345 cites W2089279779 @default.
• W2022069345 cites W2133584444 @default.
• W2022069345 cites W2134042740 @default.
• W2022069345 cites W2166484594 @default.
• W2022069345 cites W4252482649 @default.
• W2022069345 cites W4255134632 @default.
• W2022069345 doi "https://doi.org/10.1097/01.brs.0000106980.33936.ad" @default.
• W2022069345 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/14752352" @default.
• W2022069345 hasPublicationYear "2004" @default.
• W2022069345 type Work @default.
• W2022069345 sameAs 2022069345 @default.
• W2022069345 citedByCount "20" @default.
• W2022069345 countsByYear W20220693452012 @default.
• W2022069345 countsByYear W20220693452013 @default.
• W2022069345 countsByYear W20220693452019 @default.
• W2022069345 crossrefType "journal-article" @default.
• W2022069345 hasAuthorship W2022069345A5018186802 @default.
• W2022069345 hasAuthorship W2022069345A5021284732 @default.
• W2022069345 hasAuthorship W2022069345A5023450148 @default.
• W2022069345 hasAuthorship W2022069345A5027416456 @default.
• W2022069345 hasAuthorship W2022069345A5033933581 @default.
• W2022069345 hasAuthorship W2022069345A5037138999 @default.
• W2022069345 hasConcept C115961682 @default.
• W2022069345 hasConcept C126838900 @default.
• W2022069345 hasConcept C141071460 @default.
• W2022069345 hasConcept C143409427 @default.
• W2022069345 hasConcept C154945302 @default.
• W2022069345 hasConcept C166704113 @default.
• W2022069345 hasConcept C175696284 @default.
• W2022069345 hasConcept C2777017458 @default.
• W2022069345 hasConcept C2780297707 @default.
• W2022069345 hasConcept C2989005 @default.
• W2022069345 hasConcept C31972630 @default.
• W2022069345 hasConcept C41008148 @default.
• W2022069345 hasConcept C71924100 @default.
• W2022069345 hasConceptScore W2022069345C115961682 @default.
• W2022069345 hasConceptScore W2022069345C126838900 @default.
• W2022069345 hasConceptScore W2022069345C141071460 @default.
• W2022069345 hasConceptScore W2022069345C143409427 @default.
• W2022069345 hasConceptScore W2022069345C154945302 @default.
• W2022069345 hasConceptScore W2022069345C166704113 @default.
• W2022069345 hasConceptScore W2022069345C175696284 @default.
• W2022069345 hasConceptScore W2022069345C2777017458 @default.
• W2022069345 hasConceptScore W2022069345C2780297707 @default.
• W2022069345 hasConceptScore W2022069345C2989005 @default.
• W2022069345 hasConceptScore W2022069345C31972630 @default.
• W2022069345 hasConceptScore W2022069345C41008148 @default.
• W2022069345 hasConceptScore W2022069345C71924100 @default.
• W2022069345 hasIssue "3" @default.
• W2022069345 hasLocation W20220693451 @default.
• W2022069345 hasLocation W20220693452 @default.
• W2022069345 hasOpenAccess W2022069345 @default.
• W2022069345 hasPrimaryLocation W20220693451 @default.
• W2022069345 hasRelatedWork W2005087563 @default.
• W2022069345 hasRelatedWork W2010533810 @default.
• W2022069345 hasRelatedWork W2056853153 @default.
• W2022069345 hasRelatedWork W2057559274 @default.
• W2022069345 hasRelatedWork W2069654680 @default.
• W2022069345 hasRelatedWork W2348002530 @default.
• W2022069345 hasRelatedWork W2378111931 @default.
• W2022069345 hasRelatedWork W2588069848 @default.
• W2022069345 hasRelatedWork W2613785549 @default.
• W2022069345 hasRelatedWork W4243161226 @default.
• W2022069345 hasVolume "29" @default.
• W2022069345 isParatext "false" @default.
• W2022069345 isRetracted "false" @default.
• W2022069345 magId "2022069345" @default.
• W2022069345 workType "article" @default.