Development of Subject-Specific Geometric Spine Model through Use of Automated Active Contour Segmentation and Kinematic Constraint-Limited Registration.
This paper describes the development of a patient-specific spine model through use of active contour segmentation and registration of intraoperative imaging of porcine vertebra augmented with kinematic constraints. The geometric active contours are fully automated and lead to a discrete representati...
| Publicado en: | Journal of Digital Imaging Vol. 24; no. 5; pp. 926 - 943 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2011
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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=104691181&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104691181 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Oct2011 vid: 24 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104691181 65832737 10.1007/s10278-010-9336-z NLM20882395 104691181 ppf: 926 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Development of Subject-Specific Geometric Spine Model through Use of Automated Active Contour Segmentation and Kinematic Constraint-Limited Registration. aug: au: Strickland, Catherine Aguiar, Daniel Nauman, Eric Talavage, Thomas affil: School of Electrical and Computer Engineering, Purdue University, West Lafayette 47907-2035 USA sug: subj: Magnetic Resonance Imaging Methods Spine Radiography Image Processing, Computer Assisted Methods Intraoperative Care Automation Fluoroscopy Kinematics Validation Studies Human Sensitivity and Specificity Spine Anatomy and Histology Funding Source ab: This paper describes the development of a patient-specific spine model through use of active contour segmentation and registration of intraoperative imaging of porcine vertebra augmented with kinematic constraints. The geometric active contours are fully automated and lead to a discrete representation of the image segmentation results. After determining errors within the segmentations, application of reliability theory allows the selection of active contour parameters to obtain best-fit segmentations from a stack of 2D images. The segmented images are then used in conjunction with C-arm fluoroscope images to simulate the result of intraoperative patient-specific model registration including patient and/or structure motion between preoperative and intraoperative scans. The results are validated through comparison of the error within the patient-specific model generated through use of the C-arm images with a model acquired directly from MRI images of the spine after motion. The results are applicable to the development of a wide variety of patient-specific geometric and biomechanical models. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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