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Coherence-Based Photoacoustic Image Guidance of Transsphenoidal Surgeries

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:
9043878
负责人:
Muyinatu A. Lediju Bell
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
项目状态:
已结题
起止时间:
2015-04-01 至 2017-03-31

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 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.
期刊论文(6)
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会议论文
DOI: 10.1364/boe.7.003056
发表时间: 2016-08
期刊: Biomedical optics express
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
DOI: 10.1109/tbme.2015.2497245
发表时间: 2016-07
期刊: IEEE transactions on bio-medical engineering
影响因子: --
作者: [Bell MA, Kumar S, Kuo L, Sen HT, Iordachita I, Kazanzides P]
通讯作者: Kazanzides P
DOI: 10.1109/tmi.2016.2531109
发表时间: 2016-08
期刊: IEEE transactions on medical imaging
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: Journal of biomedical optics
影响因子: 3.5
作者: [Eddins B, Bell MA]
通讯作者: Bell MA
Photoacoustic Image Guidance of Hysterectomies
  • 批准号:
    10586827
  • 项目类别:
  • 资助金额:
    $35.94万
  • 财政年份:
    2023
  • 负责人:
    Muyinatu A. Lediju Bell
  • 依托单位:
Minimizing Uncertainty in Breast Ultrasound Imaging with Real-Time Coherence-Based Beamforming
  • 批准号:
    10417922
  • 项目类别:
  • 资助金额:
    $35.2万
  • 财政年份:
    2022
  • 负责人:
    Muyinatu A. Lediju Bell
  • 依托单位:
Minimizing Uncertainty in Breast Ultrasound Imaging with Real-Time Coherence-Based Beamforming
  • 批准号:
    10679017
  • 项目类别:
  • 资助金额:
    $34.42万
  • 财政年份:
    2022
  • 负责人:
    Muyinatu A. Lediju Bell
  • 依托单位:
A Machine Learning Alternative to Beamforming to Improve Ultrasound Image Quality for Interventional Access to the Kidney
  • 批准号:
    10170765
  • 项目类别:
  • 资助金额:
    $23.5万
  • 财政年份:
    2020
  • 负责人:
    Muyinatu A. Lediju Bell
  • 依托单位:
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