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Transrectal Imaging of Prostate Cancer Using a Globally Convergent Method

Transrectal Imaging of Prostate Cancer Using a Globally Convergent Method
使用全局收敛方法进行前列腺癌经直肠成像
批准号:
8092622
负责人:
HANLI LIU
金额:
$30.33万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-01 至 2013-04-30
关键词:
AgeAlgorithmsAreaBenign Prostatic HypertrophyBiologicalBiological Neural NetworksBiopsyBlood VesselsBrainBreastCalibrationCancer DetectionCancer EtiologyCancerousCessation of lifeCharacteristicsClinicClinicalComputational algorithmComputer SimulationComputer softwareContrast MediaDataData SetDetectionDevelopmentDiagnosisDiagnosticDiagnostic ImagingDiffusionDigital Rectal ExaminationEarly DiagnosisEconomicsEnzymesEvaluationExcisionExhibitsExperimental DesignsFaceFeasibility StudiesFingersFoundationsFutureGenerationsGoalsGray unit of radiation doseHemoglobinHistologyHumanHuman CharacteristicsImageImage AnalysisImaging DeviceImaging TechniquesIndividualInterventionKnowledgeLeadLightMagnetic Resonance ImagingMalignant NeoplasmsMalignant neoplasm of prostateMapsMathematicsMeasurementMeasuresMedical ImagingMetabolicMethodsModalityModelingModificationNeedle biopsy procedureOperative Surgical ProceduresOptical MethodsOptical TomographyOpticsOrganOxygenPatientsPhysiologicalPopulationPrintingProcessPropertyProstateProstate specific antigen measurementProstate-Specific AntigenProstatectomyProstatic NeoplasmsReportingResearchResolutionRiskSchemeScreening for Prostate CancerScreening procedureSecond Primary CancersSeminalSensitivity and SpecificitySerumSerum MarkersShapesShockSignal TransductionSolutionsSystemTechnologyTestingTimeTissuesUltrasonographyUnited StatesUrineVariantWaterWorkabsorptionabstractingbasecancer diagnosisclinical practicecostcost effectivedensitydesigneffective therapyimage reconstructionimaging modalityimprovedin vivoinnovationlight scatteringmalemalignant breast neoplasmmanmenminimally invasivenoveloptical imagingoutcome forecastpublic health relevancereceptorreconstructionresearch and developmenttechnology developmenttissue phantomtooltwo-dimensional

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中文摘要
翻译
描述(由申请人提供):虽然许多医学成像技术是先进的,但不存在简单准确的成像工具来指导前列腺癌的早期检测、组织活检和最佳治疗。需要更多的研究和技术开发来探索可靠和定量的成像手段,以改善前列腺癌的筛查、诊断和预后。该R 01提案的总体假设是,可以开发一种新型全局收敛方法与经直肠多通道光学成像系统的组合,并在体内用于经直肠检测和诊断人类前列腺癌。具体目标是:目标1:开发并验证全局收敛方法(GCM),以获得具有人类前列腺癌特征的光学参数(吸收和散射参数)的二维(2- D)重建图像。目标二:设计、实现和验证经直肠、多通道光学成像系统,该系统可用于测量来自人类前列腺的光学信号,用于非侵入性或微创前列腺癌诊断或/和筛查。目标3(a):实验验证开发的2-D GCM使用人类前列腺样组织模型,使适当的细化,修改,或校准可以探索,以提高理论精度和实验设计。目标3(B):在离体人前列腺上进行光学成像测量,前列腺切除术期间从患者身上切除,并与组织学结果进行比较,以验证新开发的2-D GCM。目标3(c):通过在前列腺切除术期间进行体内人前列腺测量来验证2-D GCM和经直肠成像系统。光学测量将在手术开始时经直肠进行,然后切除前列腺,然后再次在同一离体前列腺上进行。将在体内和离体结果之间进行比较,并用于改进2-D GCM和经直肠成像系统。这个项目是一个可行性研究。我们希望表明,GCM是一种直接和快速的成像重建算法,具有成熟的数学基础,导致经济和实用的近红外成像仪用于前列腺癌检测。此外,通过将光学断层成像技术与经直肠光学探针的新颖设计相结合,研究团队有一个独特的机会获得人类前列腺癌的光学和生理特征,这将使未来的试验计划具有统计学意义。长期目标是利用光学衍生的签名作为前列腺癌的指纹,以在未来诊断癌症。 公共卫生相关性:虽然许多医学成像技术是先进的,但没有准确的成像和诊断工具来指导前列腺癌的早期检测,组织活检和最佳治疗。非常需要更多的研究和技术开发来改善前列腺癌的筛查和预后。非常希望开发一种低成本、定量、经直肠成像系统,其允许常规、早期和准确地筛查和检测前列腺癌。拟议的项目是一项可行性研究,以调查一种新的数学方法,可以使用沿着与经直肠成像系统的前列腺癌的早期检测。开发的数学工具将提供二维,断层扫描图像的人类前列腺癌检测。
英文摘要
DESCRIPTION (provided by applicant): While many technologies for medical imaging are advanced, no simple and accurate imaging tool exists to guide early detection, tissue biopsy and optimal treatment for prostate cancer. More research and technology development are needed to explore reliable and quantitative imaging means for improved prostate cancer screening, diagnosis and prognosis. The overall hypothesis for this R01 proposal is that a novel Globally Convergent Method in combination with a transrectal, multi-channel optical imaging system can be developed and used in vivo for transrectal detection and diagnosis of prostate cancer in human. The Specific Aims are: Aim 1: develop and validate a globally convergent method (GCM) to obtain 2-dimentional (2- D) reconstructed images of optical parameters (both absorption and scattering parameters) that are characteristic of human prostate cancer. Aim 2: design, implement, and validate a transrectal, multi-channel optical imaging system that can be used to measure optical signals from human prostate glands for non-invasive or minimally invasive prostate cancer diagnosis or/and screen. Aim 3(a): experimentally validate the developed 2-D GCM using human prostate-like tissue phantoms so that appropriate refinement, modification, or calibration can be explored to improve both theoretical accuracy and experimental designs. Aim 3(b): perform optical imaging measurements on ex vivo human prostate glands, which are removed from patients during prostatectomy, and compare with histology results to validate the newly developed 2-D GCM. Aim 3(c): validate the 2-D GCM and transrectal imaging system by performing in vivo human prostate measurements during prostatectomy. The optical measurements will be carried out transrectally in the beginning of the surgery before the prostate is removed and then taken again on the same ex vivo prostate gland. Comparison between the in vivo and ex vivo results will be made and utilized for improvement of the 2-D GCM and transrectal imaging system. This proposed project is a feasibility study. We wish to show that the GCM is a direct and fast imaging reconstruction algorithm with proven mathematical foundation, leading to an economic and practical NIR imager for prostate cancer detection. Also, by combining the optical tomographic imaging technique with the novel design of transrectal optical probes, the research team has a unique opportunity to obtain optical and physiological signatures of prostate cancer in human, which will enable proper planning of a future trial with a statistically significant number of subjects. The long-term goal is to utilize optically derived signatures as finger-prints of prostate cancer to diagnose the cancer in the future. PUBLIC HEALTH RELEVANCE: While many technologies for medical imaging are advanced, there is no accurate imaging and diagnostic tool to guide early detection, tissue biopsy and optimal treatment for prostate cancer. More research and technology development are greatly needed for improved prostate cancer screening and prognosis. It would be highly desirable to develop a low-cost, quantitative, transrectal imaging system that allows routine, early, and accurate screen and detection for prostate cancer. The proposed project is a feasibility study to investigate a novel mathematical method that can be used along with a transrectal imaging system for early detection of prostate cancer. The developed mathematical tool will provide two-dimensional, tomographic images for human prostate cancer testing.
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