Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mardava R. Gubbi"'
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Autor:
Derek Allman, Eduardo Gonzalez, Muyinatu A. Lediju Bell, Huayu Hou, Jinxin Dong, Michelle T. Graham, Alycen Wiacek, Mardava R. Gubbi, Fabrizio R. Assis, Jonathan Chrispin, Sarah E. Beck
Publikováno v:
IEEE Transactions on Medical Imaging. 39:1015-1029
Cardiac interventional procedures are often performed under fluoroscopic guidance, exposing both the patient and operators to ionizing radiation. To reduce this risk of radiation exposure, we are exploring the use of photoacoustic imaging paired with
Publikováno v:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 69(6)
The successful integration of computer vision, robotic actuation, and photoacoustic imaging to find and follow targets of interest during surgical and interventional procedures requires accurate photoacoustic target detectability. This detectability
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
Channel signal-to-noise ratio (SNR) is a metric to assess photoacoustic image quality based on the raw photoacoustic channel data. Current methods for measuring channel SNR require access to raw data or delay data prior to summation (e.g., prior to D
Publikováno v:
ICRA
Tool tip visualization is an essential component of multiple robotic surgical and interventional procedures. In this paper, we introduce a real-time photoacoustic visual servoing system that processes information directly from raw acoustic sensor dat
Autor:
Muyinatu A. Lediju Bell, Alycen Wiacek, Michelle T. Graham, Mardava R. Gubbi, Kelley M. Kempski
Publikováno v:
Photons Plus Ultrasound: Imaging and Sensing 2021.
Multiple image quality metrics are currently available to assess target detectability in photoacoustic images. Common metrics include contrast, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR). The generalized contrast-to-noise ratio (g
Publikováno v:
2020 IEEE International Ultrasonics Symposium (IUS).
Target detectability in photoacoustic imaging applications is traditionally analyzed using image quality metrics, such as signal-to-noise ratio, contrast, and contrast-to-noise ratio. These metrics are difficult to interpret in the context of target
Autor:
Fabrizio R. Assis, Jonathan Chrispin, Alycen Wiacek, Jinxin Dong, Mardava R. Gubbi, Eduardo Gonzalez, Huayu Hou, Muyinatu A. Lediju Bell, Derek Allman, Sarah E. Beck, Michelle T. Graham
Publikováno v:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII.
Many cardiac interventional procedures (e.g., radiofrequency ablation) require fluoroscopy to navigate catheters in veins toward the heart. However, this image guidance method lacks depth information and increases the risks of radiation exposure for
Publikováno v:
2019 IEEE International Ultrasonics Symposium (IUS).
Visual servoing is a promising technique for surgical tool tip tracking and automated visualization of photoacoustic targets during interventional procedures. However, visual servoing in photoacoustic imaging is challenged by the trade-off between la
Autor:
Muyinatu A. Lediju Bell, Michelle T. Graham, Theron Palmer, Mardava R. Gubbi, Kelley M. Kempski
Publikováno v:
Biomed Opt Express
The generalized contrast-to-noise ratio (gCNR) is a relatively new image quality metric designed to assess the probability of lesion detectability in ultrasound images. Although gCNR was initially demonstrated with ultrasound images, the metric is th