High-Performance Cone-Beam CT Guidance of Head and Neck Surgery
High-Performance Cone-Beam CT Guidance of Head and Neck Surgery
批准号:
7892562
负责人:
JEFFREY H SIEWERDSEN
金额:
$31.16万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-04 至 2012-07-31
关键词:
AbdomenAblationAccountingAirAnatomyArchitectureAreaBase of the BrainBenignBiological ProductsBrachytherapyBrainCadaverCalibrationCarotid ArteriesCellsCessation of lifeChemicalsClinicalClinical ResearchClinical TrialsCollaborationsComplexComplicationDataDecision MakingDefectDevelopmentDevicesDiseaseDoseEnvironmentEthmoid sinus structureEvaluationExcisionFactor AnalysisFeedbackFluoroscopyHeadHead and Neck NeoplasmsHead and Neck Squamous Cell CarcinomaHead and Neck SurgeryHead and neck structureHumanImageImage-Guided SurgeryImageryInflammatoryInterventionInterventional radiologyLesionMagnetic Resonance ImagingMalignant NeoplasmsManualsMedicalMethodsMetricModalityModelingNavigation SystemNeckNeoplasmsNeuraxisNoduleNormal tissue morphologyNorth AmericaOperative Surgical ProceduresOptic NerveOrbital NeoplasmsOrthopedic Surgery proceduresOtolaryngologyPalpablePathologyPatientsPerformancePhotochemotherapyPrincipal InvestigatorProceduresProcessProtocols documentationRelative (related person)ResearchResearch PersonnelResolutionRoleSensitivity and SpecificitySeriesSinusSkull Base NeoplasmsSoft Tissue DisorderSoft Tissue NeoplasmsSolutionsSpecificityStructureSurgeonSystemSystems IntegrationTask PerformancesTechniquesTechnologyTherapeuticThoracic Surgical ProceduresThree-Dimensional ImagingTimeTranslatingTranslationsUncertaintyUpdateValidationVertebral columnWorkarmbasebonebone visualizationclinical applicationclinical practicecone-beam computed tomographycostcraniumevidence baseexperienceheuristicsimage guided interventionimage registrationimaging modalityimprovedintraoperative imagingnovelpre-clinicalpreclinical studyprogramsreconstructionresearch studyrobot assistanceskeletalskull basesoft tissuetoolusability
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Cone-beam CT (CBCT) offers an important new modality for image-guided interventions. Its implementation on a mobile C-arm presents an opportunity to develop a high-performance intraoperative imaging and guidance system and investigate the benefits to surgical performance in challenging interventional tasks. In head and neck (H&N) surgery, infiltrative disease within a complex environment of critical structures (e.g., the optic nerves, carotid arteries and brain) poses a major challenge to surgical performance in the absence of intraoperative imaging. While conventional image-guided surgery (IGS) using real-time tracking and navigation relative to preoperative images has offered an important advance, its value is largely limited to resection of bony neoplasms in the context of rigid (non-deforming) skeletal anatomy. A broad spectrum of H&N surgeries - particularly those targeting soft-tissue lesions with deformation likely in the course of therapy (e.g., herniation of orbital and intracranial structures) - requires intraoperative imaging to reap the full benefit of IGS. We hypothesize that intraoperative CBCT offering sub-mm 3D spatial resolution and soft-tissue visibility will maximize surgical performance in target ablation, minimize complications to critical structures, and extend the applicability of IGS across the full range of H&N interventions. We propose to develop, characterize, and deploy a high-performance image guidance system based on C-arm CBCT as follows: 1.) Develop a fully integrated surgical guidance system based on C-arm CBCT, realtime tracking, and 3D deformable image registration; 2.) Quantitatively evaluate the benefits to surgical performance in challenging interventional tasks, including ethmoid sinus ablation, trans-sphenoid approach to the CNS, and skull base lesion excision; and 3.) Investigate system performance in pre-clinical deployment in patient studies under research protocol, including multi-modality intraoperative CBCT and MRI. High-performance IGS bas ed on intraoperative CB CT offers to: i.) improve surgical performance (maximize sensitivity and specificity in the ablation of challenging targets); ii.) expand the application of surgery to cases that would be conventionally inoperable; and iii.) support the development of novel surgical therapeutics (e.g., robot-assisted surgery, photodynamic therapy, and precise targeting using chemical or biological agents) that require a high degree of geometric precision provided by intraoperative imaging.
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Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgery.
使用3D-2D登记:减少错误位点手术的工具,将椎骨荧光镜检查中椎骨水平自动定位。
DOI:
10.1088/0031-9155/57/17/5485
发表时间:
2012-09-07
期刊:
Physics in medicine and biology
影响因子:
3.5
作者:
[Otake Y, Schafer S, Stayman JW, Zbijewski W, Kleinszig G, Graumann R, Khanna AJ, Siewerdsen JH]
通讯作者:
Siewerdsen JH
Deformable Registration of the Inflated and Deflated Lung for Cone-Beam CT-Guided Thoracic Surgery.
锥形束 CT 引导胸外科手术中膨胀和收缩肺的变形登记。
DOI:
10.1117/12.911440
发表时间:
2012
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
作者:
[Uneri,Ali, Nithiananthan,Sajendra, Schafer,Sebastian, Otake,Yoshito, Stayman,JWebster, Kleinszig,Gerhard, Sussman,MarcS, Taylor,RussellH, Prince,JerryL, Siewerdsen,JeffreyH]
通讯作者:
Siewerdsen,JeffreyH
Model-based Reconstruction of Objects with Inexactly Known Components.
具有不确切已知组件的基于模型的对象重建。
DOI:
10.1117/12.911202
发表时间:
2012
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
作者:
[Stayman,JW, Otake,Y, Schafer,S, Khanna,AJ, Prince,JL, Siewerdsen,JH]
通讯作者:
Siewerdsen,JH
Incorporating Tissue Excision in Deformable Image Registration: A Modified Demons Algorithm for Cone-Beam CT-Guided Surgery.
将组织切除纳入可变形图像配准:锥束 CT 引导手术的改进恶魔算法。
DOI:
10.1117/12.878258
发表时间:
2011
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
作者:
[Nithiananthan,S, Mirota,D, Uneri,A, Schafer,S, Otake,Y, Stayman,JW, Siewerdsen,JH]
通讯作者:
Siewerdsen,JH
Volume-of-change cone-beam CT for image-guided surgery.
用于图像引导手术的体积变化锥束 CT。
DOI:
10.1088/0031-9155/57/15/4969
发表时间:
2012
期刊:
Physics in medicine and biology
影响因子:
3.5
作者:
[Lee,Junghoon, Stayman,JWebster, Otake,Yoshito, Schafer,Sebastian, Zbijewski,Wojciech, Khanna,AJay, Prince,JerryL, Siewerdsen,JeffreyH]
通讯作者:
Siewerdsen,JeffreyH
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财政年份:2019
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负责人:JEFFREY H SIEWERDSEN
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Computer Vision-Based Navigation System for High-Precision Orthopedic Trauma Surgery
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批准号:9806153
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资助金额:$23.82万
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