Thesis Proposal: Michelle Graham
Apr 29 @ 3:00 pm
Thesis Proposal: Michelle Graham

Note: This is a virtual presentation. Here is the link for where the presentation will be taking place.

Title: Photoacoustic imaging to detect major blood vessels and nerves during neurosurgery and head and neck surgery

Abstract: Real-time intraoperative guidance during minimally invasive neurosurgical and head and neck procedures is often limited to endoscopy, CT-guided image navigation, and electromyography, which are generally insufficient to locate major blood vessels and nerves hidden by tissue. Accidental damage to these hidden structures has incidence rates of 6.8% in surgeries to remove pituitary tumors (i.e., endonasal transsphenoidal surgery) and 3-4% in surgeries to remove parotid tumors (i.e., parotidectomy), often resulting in severe consequences, such as patient blindness, paralysis, and death. Photoacoustic imaging is a promising emerging imaging technique to provide real-time guidance of subsurface blood vessels and nerves during these surgeries.

Limited optical penetration through bone and the presence of acoustic clutter, reverberations, aberration, and attenuation can degrade photoacoustic image quality and potentially corrupt the usefulness of this promising intraoperative guidance technique. In order to mitigate image degradation, photoacoustic imaging system parameters may be adjusted and optimized to cater to the specific imaging environment. In particular, parameter adjustment can be categorized into the optimization of photoacoustic signal generation and the optimization of photoacoustic image formation (i.e., beamforming) and image display methods.

In this talk, I will describe my contributions to leverage amplitude- and coherence-based beamforming techniques to improve photoacoustic image display for the detection of blood vessels during endonasal transsphenoidal surgery. I will then present my contributions to the derivation of a novel photoacoustic spatial coherence theory, which provides a fundamental understanding critical to the optimization of coherence-based photoacoustic images. Finally, I will present a plan to translate this work from the visualization of blood vessels during neurosurgery to the visualization of nerves during head and neck surgery. Successful completion of this work will lay the foundation necessary to introduce novel, intraoperative, photoacoustic image guidance techniques that will eliminate the incidence of accidental injury to major blood vessels and nerves during minimally invasive surgeries.

Committee Members:

  • Muyinatu Bell, Department of Electrical and Computer Engineering
  • Xindge Li, Department of Biomedical Engineering
  • Jin Kang, Department of Electrical and Computer Engineering
Thesis Proposal: Honghua Guan
Jul 6 @ 12:30 pm
Thesis Proposal: Honghua Guan

Note: This is a virtual presentation. Here is the link for where the presentation will be taking place.

Title: High-throughput Optical Explorer in Freely-behaving Rodents

Abstract: One critical goal for neuroscience is to explore the mechanisms underlying neuronal information processing. A suitable brain imaging tool is of great significance to be capable of recording clear neuronal signals over prolonged periods. Among different imaging modalities, multiphoton microscopy becomes the choice for in vivo brain applications owing to its subcellular resolution, optical sectioning and deep penetration. The current experimental routine, however, requires head-fixation of animals during data acquisition. This configuration will inevitably introduce unwanted stress and limit many behavior studies such as social interaction. The scanning two-photon fiberscope is a promising technical direction to bridge this gap. Benefiting from its ultra-compact design and light-weight, it is an ideal optical brain imaging modality to assess dynamic neuronal activities in freely-behaving rodents with subcellular resolution. One significant challenge with the compact scanning two-photon fiberscope is its suboptimal imaging throughput due to the limited choices of miniature optomechanical components.

In this project, we present a compact multicolor two-photon fiberscope platform. We achieve three-wavelength excitation by synchronizing the pulse trains from a femtosecond OPO and its pump. The imaging results demonstrate that we can excite several different fluorescent proteins simultaneously with an optimal excitation efficiency. In addition, we propose a deep neural network (DNN) based solution that significantly improves the imaging frame rate with minimal loss in image quality. This innovation enables 10-fold speed enhancement for the scanning two-photon fiberscope, making it feasible to perform video-rate (26 fps) two-photon imaging in freely-moving mice with excellent imaging resolution and SNR that were previously not possible.

Committee Members

  • Xingde Li, Department of Biomedical Engineering
  • Mark Foster, Department of Electrical and Computer Engineering
  • Jing U. Kang, Department of Electrical and Computer Engineering
  • Israel Gannot, Department of Electrical and Computer Engineering
  • Hui Lu, Department of Pharmacology and Physiology, George Washington University
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