Quantitative topographic endoscopy for improved screening of non-polypoid colorectal neoplasms
Quantitative topographic endoscopy for improved screening of non-polypoid colorectal neoplasms
批准号:
9769725
负责人:
Nicholas James Durr
金额:
$32.75万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2022-06-30
关键词:
3-DimensionalAddressAdultAlgorithmsAmericanAreaBiopsyCaliberCancer EtiologyCarcinomaCategoriesCessation of lifeCharacteristicsClassificationClinicalClinical assessmentsColonColonoscopesColonoscopyColorColorectalColorectal CancerColorectal NeoplasmsComplexComputational TechniqueComputer Vision SystemsComputer softwareConfocal MicroscopyConsumptionCustomDataDetectionDevelopmentDyesEffectivenessElementsEndoscopesEndoscopyEngineeringFoundationsFrequenciesFutureGastroenterologyGoalsHeightHumanHybridsImageImaging TechniquesInterobserver VariabilityKnowledgeLarge IntestineLesionLightLightingMalignant - descriptorMapsMeasurementMeasuresMorphologyMotionMucous MembraneOpticsPatientsPilot ProjectsPolypectomyPolypoid LesionPolypsPremalignantProceduresResearchResearch ProposalsResectedResolutionSamplingShapesSourceSpatial Frequency Domain ImagingStructureSurfaceSurface PropertiesSystemTechniquesTechnologyTestingTextureThree-Dimensional ImageTimeTissuesTrainingUnited Statesadenomabasechromoscopycolorectal cancer riskcomputer aided detectioncontrast imaginghuman studyimaging systemimprovedinnovationminiaturizemortalitymortality risknoveloptical imagingphantom modelpreventresearch clinical testingroutine screeningscreeningvector
中文摘要
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英文摘要
Project Summary
This project will create and assess new optical imaging and computational technologies with the goal of
improving the detection rates of precancerous, non-polypoid lesions during colonoscopy screening. Identifying
and removing these subtle lesions is critical to improving the protective value of colonoscopy in reducing mortality
from colorectal cancer. However, current approaches to non-polypoid lesion detection are largely unsuccessful
because they are time-consuming and require specialized training (chromoendoscopy), or they start with poor
image contrast (software analysis of conventional video). This project focuses on developing a novel technique,
called quantitative topographic endoscopy (QTE), that optically measures colon surface properties via a modified
commercial colonoscope. The key innovation in this proposal is to utilize structured illumination and build on
concepts from computer vision and optical engineering to acquire high-resolution 3D images of the colon surface
through a custom endoscope. The project will be implemented through three specific aims: (1) develop a
miniaturized, quantitative, high-resolution topography system, (2) implement QTE in a modified commercial
colonoscope ready for clinical testing, and (3) determine the validity of QTE in a phantom model and its clinical
feasibility in a pilot human study. QTE systems developed in this project will be tested in tissue-mimicking
phantoms with a goal of achieving better than 1-mm height sensitivity, in ex-vivo resected colon samples with a
goal of accurately reconstructing surface shapes from a complex tissue, and in a pilot human study with the goal
of obtaining surface topography non-polypoid lesions. Beyond increasing non-polypoid lesion detection rates,
QTE has the potential to address other limitations of colonoscopy, including preventing missed polypoid lesions,
classifying lesions for resect-and-discard strategies, and improving colonoscopy quality metrics. Additionally, the
development of a QTE system that is approved for human studies will serve as a platform for future clinical
assessment of other optical techniques such as spatial frequency domain imaging and speckle imaging in a
variety of gastroenterology applications.
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An adaptive-coherence light source for hyperspectral, topographic, and flow-contrast imaging.
用于高光谱、地形和血流对比成像的自适应相干光源。
DOI:
10.1117/12.2510632
发表时间:
2019
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
作者:
[Bobrow,TaylorL, Durr,NicholasJ]
通讯作者:
Durr,NicholasJ
DOI:
10.1109/tmi.2019.2962786
发表时间:
2020-06
期刊:
IEEE transactions on medical imaging
影响因子:
10.6
作者:
[Chen MT, Mahmood F, Sweer JA, Durr NJ]
通讯作者:
Durr NJ
DOI:
10.1364/ol.411187
发表时间:
2021-02-01
期刊:
Optics letters
影响因子:
3.6
作者:
[Chen MT, Papadakis M, Durr NJ]
通讯作者:
Durr NJ
DOI:
10.1117/1.jbo.25.11.112907
发表时间:
2020-11
期刊:
Journal of biomedical optics
影响因子:
3.5
作者:
[Chen MT, Durr NJ]
通讯作者:
Durr NJ
DOI:
10.1109/access.2020.3047544
发表时间:
2021
期刊:
IEEE access : practical innovations, open solutions
影响因子:
--
作者:
[Golhar M, Bobrow TL, Khoshknab MP, Jit S, Ngamruengphong S, Durr NJ]
通讯作者:
Durr NJ
海外基金