Coherence-Based Photoacoustic Image Guidance of Transsphenoidal Surgeries

基于相干性的光声图像引导经蝶手术

基本信息

  • 批准号:
    9043878
  • 负责人:
  • 金额:
    $ 8.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-04-01 至 2017-03-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Endonasal transsphenoidal surgery is a minimally invasive procedure that involves grinding away sphenoidal bone in the nasal cavity to access and resect pituitary tumors. Each surgery incurs the risk of death resulting from injury to the carotid arteries located behind the sphenoidal bone on either side of the pituitary gland. The long-term objective of this project is to develop the imaging technology required for real-time photoacoustic visualization of blood vessels and bone to eliminate the risk of striking a carotid artery during surgery. The speci¿c aims of the mentored phase are to: (1) image vessel-like targets embedded in phantoms sur- rounded by cranial bone to characterize system requirements; and (2) develop the mathematical framework for optimized, coherence-based photoacoustic signal detection and display. This phase will be pursued at Johns Hopkins University, a pioneering institution of transsphenoidal surgeries. The speci¿c aims of the independent phase will build on the knowledge obtained during the mentored phase to design and assess a new class of coherence-based beamformers that overcome expected challenges with laser penetration, leading to the even- tual building, testing, and validation of a dedicated prototype system. The methods used to achieve these aims will include integration of beamforming theory with commercially- available optical equipment and ultrasound machines to form customized photoacoustic imaging systems. The systems will be tested on tissue-mimicking phantoms and human head models that simulate surgeries, culmi- nating with a pilot study on patients undergoing transsphenoidal surgeries. Quantitative metrics and observer studies are proposed to compare and assess image quality, while in vivo and ex vivo visualization of vessels and vessel-like targets will be correlated with endoscopic and magnetic resonance images. Although the system will initially be developed for transsphenoidal surgeries, it will be useful in any minimally- invasive surgery that requires visualization of hiddn blood vessels. In addition, the proposed coherence-based photoacoustic beamformers have broader implications for improving image quality and overcoming current depth penetration limits in multiple photoacoustic applications. My expert advisory team will consist of mentors and collaborators in interventional photoacoustics, optics, medical image analysis, neurosurgery, and the design of surgical systems. I will combine my experience in developing and implementing the ¿rst short-lag spatial coherence (SLSC) beamformer and my background in ultrasound physics and mechanical engineering with proposed training and career development in optics. Successful completion of the proposed plan promises to unlock new possibilities for clinical applications of photoacoustic imaging.
 描述(申请人提供):鼻内经蝶窦手术是一种微创手术,包括在鼻腔内磨掉蝶骨以切开和切除垂体肿瘤。每一次手术都有损伤位于脑下垂体部蝶骨后面的颈动脉而导致死亡的风险。该项目的长期目标是开发实时光声可视化血管和骨骼所需的成像技术,以消除手术中击中颈动脉的风险。指导阶段的具体目标是:(1)对嵌入在颅骨周围的模体中的血管状目标进行成像,以确定系统要求;以及(2)开发优化的、基于相干的光声信号检测和显示的数学框架。这一阶段将在约翰·霍普金斯大学进行,该大学是经蝶手术的先驱机构。独立阶段的特殊目标将建立在指导阶段获得的知识的基础上,以设计和评估一类新的基于相干的波束形成器,该波束形成器克服了激光穿透的预期挑战,导致了专用原型系统的均匀构建、测试和验证。实现这些目标的方法将包括将波束形成理论与商业上可用的光学设备和超声机相结合,以形成定制的光声成像系统。这些系统将在模拟组织的幻影和模拟手术的人头模型上进行测试,最后对接受经蝶窦手术的患者进行初步研究。提出了量化指标和观察者研究来比较和评估图像质量,而血管和血管样目标的体内和体外可视化将与内窥镜和磁共振图像相关联。虽然该系统最初将用于经蝶窦手术,但它将适用于任何需要隐藏血管可视化的微创手术。此外,所提出的基于相干的光声波束形成器对于改善图像质量和克服当前在多个光声应用中的深度穿透限制具有更广泛的意义。我的专家咨询团队将由介入光声学、光学、医学图像分析、神经外科和外科系统设计方面的导师和合作者组成。我将结合我开发和实施第一个短滞后空间相干(SLSC)波束形成器的经验和我在超声波物理和机械工程方面的背景,以及拟议的光学培训和职业发展。该计划的成功完成有望为光声成像的临床应用带来新的可能性。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Synthetic-aperture based photoacoustic re-beamforming (SPARE) approach using beamformed ultrasound data.
  • DOI:
    10.1364/boe.7.003056
  • 发表时间:
    2016-08
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Haichong K. Zhang;M. Bell;Xiaoyu Guo;Hyun-Jae Kang;E. Boctor
  • 通讯作者:
    Haichong K. Zhang;M. Bell;Xiaoyu Guo;Hyun-Jae Kang;E. Boctor
Toward Standardized Acoustic Radiation Force (ARF)-Based Ultrasound Elasticity Measurements With Robotic Force Control.
Spatial Angular Compounding of Photoacoustic Images.
  • DOI:
    10.1109/tmi.2016.2531109
  • 发表时间:
    2016-08
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Kang HJ;Bell MA;Guo X;Boctor EM
  • 通讯作者:
    Boctor EM
Design of a multifiber light delivery system for photoacoustic-guided surgery.
用于光声引导手术的多纤维光输送系统的设计。
  • DOI:
    10.1117/1.jbo.22.4.041011
  • 发表时间:
    2017-04-01
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Eddins B;Bell MA
  • 通讯作者:
    Bell MA
Localization of Transcranial Targets for Photoacoustic-Guided Endonasal Surgeries.
  • DOI:
    10.1016/j.pacs.2015.05.002
  • 发表时间:
    2015-06
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Lediju Bell MA;Ostrowski AK;Li K;Kazanzides P;Boctor EM
  • 通讯作者:
    Boctor EM
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Muyinatu A. Lediju Bell其他文献

Overfit detection method for deep neural networks trained to beamform ultrasound images
用于训练以对超声图像进行波束形成的深度神经网络的过拟合检测方法
  • DOI:
    10.1016/j.ultras.2024.107562
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
    4.100
  • 作者:
    Jiaxin Zhang;Muyinatu A. Lediju Bell
  • 通讯作者:
    Muyinatu A. Lediju Bell
Deep Learning-Based Displacement Tracking for Post-Stroke Myofascial Shear Strain Quantification
基于深度学习的位移跟踪,用于中风后肌筋膜剪切应变量化
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Md Ashikuzzaman;Jonny Huang;Steve Bonwit;Azin Etemadimanesh;Preeti Raghavan;Muyinatu A. Lediju Bell
  • 通讯作者:
    Muyinatu A. Lediju Bell
Mitigating skin tone bias in linear array emin vivo/em photoacoustic imaging with short-lag spatial coherence beamforming
利用短滞后空间相干波束形成减轻线性阵列体内/体外光声成像中的肤色偏差
  • DOI:
    10.1016/j.pacs.2023.100555
  • 发表时间:
    2023-10-01
  • 期刊:
  • 影响因子:
    6.800
  • 作者:
    Guilherme S.P. Fernandes;João H. Uliana;Luciano Bachmann;Antonio A.O. Carneiro;Muyinatu A. Lediju Bell;Theo Z. Pavan
  • 通讯作者:
    Theo Z. Pavan

Muyinatu A. Lediju Bell的其他文献

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{{ truncateString('Muyinatu A. Lediju Bell', 18)}}的其他基金

Photoacoustic Image Guidance of Hysterectomies
子宫切除术的光声图像指导
  • 批准号:
    10586827
  • 财政年份:
    2023
  • 资助金额:
    $ 8.83万
  • 项目类别:
Minimizing Uncertainty in Breast Ultrasound Imaging with Real-Time Coherence-Based Beamforming
通过基于实时相干的波束形成最大限度地减少乳房超声成像的不确定性
  • 批准号:
    10417922
  • 财政年份:
    2022
  • 资助金额:
    $ 8.83万
  • 项目类别:
Minimizing Uncertainty in Breast Ultrasound Imaging with Real-Time Coherence-Based Beamforming
通过基于实时相干的波束形成最大限度地减少乳房超声成像的不确定性
  • 批准号:
    10679017
  • 财政年份:
    2022
  • 资助金额:
    $ 8.83万
  • 项目类别:
A Machine Learning Alternative to Beamforming to Improve Ultrasound Image Quality for Interventional Access to the Kidney
波束成形的机器学习替代方案可提高肾脏介入治疗的超声图像质量
  • 批准号:
    10170765
  • 财政年份:
    2020
  • 资助金额:
    $ 8.83万
  • 项目类别:
A Machine Learning Alternative to Beamforming to Improve Ultrasound Image Quality for Interventional Access to the Kidney
波束成形的机器学习替代方案可提高肾脏介入治疗的超声图像质量
  • 批准号:
    9913520
  • 财政年份:
    2018
  • 资助金额:
    $ 8.83万
  • 项目类别:
Coherence-Based Photoacoustic Image Guidance of Transsphenoidal Surgeries
基于相干性的光声图像引导经蝶手术
  • 批准号:
    8891530
  • 财政年份:
    2015
  • 资助金额:
    $ 8.83万
  • 项目类别:

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