Hand-held optical imager for breast cancer imaging
用于乳腺癌成像的手持式光学成像仪
基本信息
- 批准号:8545922
- 负责人:
- 金额:$ 6.08万
- 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
- 起止时间:2007-09-01 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAlgorithmsBilateralBiomedical EngineeringBiopsyBreastClinicalComputer softwareContrast MediaDetectionDevelopmentDevicesDiagnosisDiagnosticDiagnostic Neoplasm StagingEarly DiagnosisEffectivenessEnvironmentFloridaFutureGenerationsGoldGrantHandHand functionsHousingImageImaging technologyInternationalLaboratoriesLightLightingLocationMagnetic Resonance ImagingMammary Gland ParenchymaMammographyMeasurementMethodsModalityNoiseNuclearOperative Surgical ProceduresOpticsPatientsPerformancePositron-Emission TomographyResearchResearch DesignSignal TransductionStagingStudy SubjectSurfaceSurgeonSurvival RateTechnologyTimeTissuesTranslationsTumor stageUltrasonographyUnited StatesUniversitiesWomanWorkbasebreast cancer diagnosiscancer imagingcancer therapydesignflexibilityhigh riskimaging modalityimprovedin vivoinnovationmalignant breast neoplasmnoveloptical imagingprognosticreconstructionresponsetissue phantomtooltumoryoung woman
项目摘要
DESCRIPTION (provided by applicant): Early-stage diagnosis of breast cancer is essential for improving the survival rate of women affected (1 in 8) in the United States. Near-infrared (NIR) optical imaging is a non-invasive and non-ionizing modality that is emerging as a diagnostic tool for breast cancer. In recent years, hand-held based optical imagers developed towards clinical translation of the technology are not capable of contouring along tissue curvatures, nor perform three-dimensional (3D) tomographic imaging to diagnose deep and/or early stage tumors. The overall objective of the proposed work is to implement the recently developed portable cart-based hand-held optical imager for tissue phantom and in-vivo breast imaging studies (in normal and breast cancer subjects), in order to demonstrate near-real time 2D tumor detection and 3D tomographic analysis, towards breast cancer diagnosis. The specific aims include: (i) Demonstrate real-time simultaneous bilateral breast imaging in tissue phantoms and in-vivo, using a novel hand-held optical imager, in order to detect tumor-mimicking targets in near real-time. (ii) Demonstrate the feasibility of 3D target localization in tissue phantoms and in-vivo, via 3D tomographic imaging studies using the hand-held optical imager; and (iii) Determine the effectiveness of tumor detection in breast cancer subjects using the hand-held optical imager, in comparison to the gold-standard x- ray mammography. The hypothesis of the application relies on a three-fold innovative implementation: (i) the "forked" probe design aids in performing simultaneous bilateral imaging of both the breast tissues, in order to improve the signal-to-noise (SNR) ratio between the normal and diseased tissue; (ii) co-registered measurements using a hand-held probe on any tissue volume and curvature aids in near real-time target detections as well as 3D tomographic imaging; and (iii) simultaneous illumination and detection at multiple locations on the tissue will allow rapid imaging time, appropriate for a clinical environment. The study design involves the following: (i) Perform simultaneous bilateral imaging on breast phantoms, in-vivo on healthy and breast cancer subjects to determine the effectiveness of 2D target (tumor) detectability with maximum SNR. (ii) Implement a coregistered imaging approach to obtain positional information of the probe(s) towards 3D tomographic analysis in phantom and in-vivo. (iii) Determine the 3D target (tumor) location(s) via tomographic analysis in phantoms and in-vivo; and (iv) Compare the optical images to the gold standard x-ray mammography images in breast cancer subject studies, in order to assess the feasibility of the hand-held optical imager in a clinical environment. The proposed research significantly impacts by accelerating the clinical translation of the emerging optical imaging technology towards early-stage breast cancer diagnosis, due to the unique and innovative method of 3D target localization using a portable and inexpensive hand-held optical imager. The technology also has potential towards prognostic breast imaging, image-guided breast cancer therapy, and volumetric analysis of tumors in response to chemotherapeutic trials.
描述(由申请人提供):在美国,乳腺癌的早期诊断对于提高受影响妇女的生存率(1/8)至关重要。近红外(NIR)光学成像是一种非侵入性和非电离模式,正在成为乳腺癌的诊断工具。近年来,朝向该技术的临床转化而开发的基于手持的光学成像器不能沿沿着组织曲率勾画轮廓,也不能执行三维(3D)断层成像以诊断深部和/或早期肿瘤。拟议的工作的总体目标是实现最近开发的便携式推车为基础的手持光学成像仪的组织体模和体内乳腺成像研究(在正常和乳腺癌的主题),以证明近实时的二维肿瘤检测和三维断层扫描分析,对乳腺癌的诊断。具体目标包括:(i)使用新型手持式光学成像仪在组织模型和体内演示实时同时双侧乳房成像,以便近实时检测肿瘤模拟目标。(ii)通过使用手持式光学成像仪的3D断层成像研究,证明在组织体模和体内进行3D靶定位的可行性;以及(iii)确定使用手持式光学成像仪在乳腺癌受试者中进行肿瘤检测的有效性,并与金标准X射线乳腺摄影术进行比较。本申请的假设依赖于三方面的创新实现:(i)“叉形”探头设计有助于执行两个乳房组织的同时双侧成像,以便提高正常组织和患病组织之间的信噪比(SNR);(ii)使用手持探头对任何组织体积和曲率进行共配准测量有助于接近真实的-时间目标检测以及3D断层成像;以及(iii)在组织上的多个位置处的同时照明和检测将允许快速成像时间,适合于临床环境。研究设计涉及以下内容:(i)在健康和乳腺癌受试者体内对乳房体模进行同时双侧成像,以确定具有最大SNR的2D目标(肿瘤)可检测性的有效性。(ii)实施共配准成像方法,以获得体模和体内3D断层扫描分析的探头位置信息。(iii)通过体模和体内的断层扫描分析确定3D目标(肿瘤)位置;以及(iv)将光学图像与乳腺癌受试者研究中的金标准X射线乳房X线摄影图像进行比较,以评估手持式光学成像仪在临床环境中的可行性。拟议的研究通过加速新兴光学成像技术向早期乳腺癌诊断的临床转化产生了重大影响,这是由于使用便携式廉价手持式光学成像仪进行3D目标定位的独特创新方法。该技术还具有用于预测乳腺成像、图像引导的乳腺癌治疗和对化疗试验的肿瘤体积分析的潜力。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Fluorescence tomographic imaging using a handheld-probe-based optical imager: extensive phantom studies.
- DOI:10.1364/ao.48.006408
- 发表时间:2009-11-20
- 期刊:
- 影响因子:1.9
- 作者:Ge J;Erickson SJ;Godavarty A
- 通讯作者:Godavarty A
Improved detection limits using a hand-held optical imager with coregistration capabilities.
- DOI:10.1364/boe.1.000126
- 发表时间:2010-07-15
- 期刊:
- 影响因子:3.4
- 作者:Erickson SJ;Martinez SL;Gonzalez J;Caldera L;Godavarty A
- 通讯作者:Godavarty A
Noninvasive Surface Imaging of Breast Cancer in Humans using a Hand-held Optical Imager.
使用手持式光学成像仪对人类乳腺癌进行无创表面成像。
- DOI:10.1088/2057-1976/1/4/045001
- 发表时间:2015
- 期刊:
- 影响因子:1.4
- 作者:Erickson-Bhatt,SarahJ;Roman,Manuela;Gonzalez,Jean;Nunez,Annie;Kiszonas,Richard;Lopez-Penalver,Cristina;Godavarty,Anuradha
- 通讯作者:Godavarty,Anuradha
Three-dimensional fluorescence tomography of human breast tissues in vivo using a hand-held optical imager.
- DOI:10.1088/0031-9155/58/5/1563
- 发表时间:2013-03-07
- 期刊:
- 影响因子:3.5
- 作者:Erickson SJ;Martinez SL;DeCerce J;Romero A;Caldera L;Godavarty A
- 通讯作者:Godavarty A
Resolution of a Gen-2 handheld optical imager: diffuse and fluorescence imaging studies.
第二代手持式光学成像仪的分辨率:漫反射和荧光成像研究。
- DOI:10.1364/ao.52.008060
- 发表时间:2013
- 期刊:
- 影响因子:1.9
- 作者:Roman,Manuela;Gonzalez,Jean;Carrasquilla,Jennifer;Erickson,SarahJ;Akhter,Rad;Godavarty,Anuradha
- 通讯作者:Godavarty,Anuradha
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
ANURADHA GODAVARTY其他文献
ANURADHA GODAVARTY的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('ANURADHA GODAVARTY', 18)}}的其他基金
Smartphone-based optical scanner to physiologically assess diabetic foot ulcers
基于智能手机的光学扫描仪可对糖尿病足溃疡进行生理评估
- 批准号:
10503651 - 财政年份:2022
- 资助金额:
$ 6.08万 - 项目类别:
Smartphone-based optical scanner to physiologically assess diabetic foot ulcers
基于智能手机的光学扫描仪可对糖尿病足溃疡进行生理评估
- 批准号:
10680499 - 财政年份:2022
- 资助金额:
$ 6.08万 - 项目类别:
Hand-held optical probe for fluorescence imaging of breast cancer
用于乳腺癌荧光成像的手持式光学探头
- 批准号:
7913473 - 财政年份:2009
- 资助金额:
$ 6.08万 - 项目类别:
Hand-held optical probe for fluorescence imaging of breast cancer
用于乳腺癌荧光成像的手持式光学探头
- 批准号:
7844503 - 财政年份:2009
- 资助金额:
$ 6.08万 - 项目类别:
Hand-held optical probe for fluorescence imaging of breast cancer
用于乳腺癌荧光成像的手持式光学探头
- 批准号:
7127016 - 财政年份:2007
- 资助金额:
$ 6.08万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 6.08万 - 项目类别:
Continuing Grant














{{item.name}}会员




