Congratulations to Prof. Bell for being selected to receive the NSF CAREER Award. The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation’s most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization. The objective of Prof. Bell’s proposal entitled CAREER: Technical & Theoretical Foundations for Photoacoustic-Guided Surgery is to apply optical analyses, spatial coherence theory, and independent resolution models to describe fundamental performance limits of photoacoustic-based navigation during robotic and nonrobotic surgery.
Congrats to undergraduate student Margaret Allard on the acceptance of her first-author journal paper entitled Feasibility of photoacoustic-guided teleoperated hysterectomies. This paper will appear in the Journal of Medical Imaging (JMI) Special Section on Image-Guided Procedures, Robotic Interventions, and Modeling.
This paper is the first to describe the feasibility of photoacoustic integration with the da Vinci surgical robot to potentially guide minimally invasive hysterectomies and other gynecological surgeries. To implement photoacoustic imaging, a novel light delivery system was designed and implemented to surround da Vinci tools. This new light delivery system uniquely enabled the investigations described in the paper, including the first known analysis of the optimal tool orientations for photoacoustic-guided hysterectomies using a da Vinci scissor tool (which partially blocks the transmitted light in some cases). This work can be extended to other da Vinci tools and laparoscopic instruments with similar tip geometry.
Margaret completed this work through her participation in our NSF Research Experience for Undergraduates in Computational Sensing and Medical Robotics.
Congratulations to PULSE Lab undergraduate student Brooke Stephanian on her 2nd place win in the Optics and Photonics Conference at JHU! She presented a poster that summarized the work she completed this semester on the topic “Theoretical Simulation to Optimize Short-Lag Spatial Coherence (SLSC) Photoacoustic Image Quality”.
Conference website: https://engineering.jhu.edu/ece/osa/hopkins-photonics-conference/
Congrats to Arun Nair on the acceptance of his paper entitled “Robust Short-Lag Spatial Coherence Imaging” to the IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. This paper will appear in the special issue on sparsity driven methods in medical ultrasound.
This work is the first to re-examine the lag summation step of the Short-Lag Spatial Coherence (SLSC) algorithm and achieve additional robustness to coherence outliers through both weighted summation of individual coherence images (i.e., M-weighting) and the application of robust principal component analysis (i.e., Robust SLSC, or R-SLSC). Results show great promise for smoothing out the tissue texture of SLSC images, improving boundary delineation, and enhancing anechoic or hypoechoic target visibility at higher lag values. These improvements could be useful in clinical tasks such as breast cyst visualization, liver vessel tracking, and obese patient imaging.
Citation: AA Nair, T Tran, MAL Bell, Robust Short-Lag Spatial Coherence Imaging, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (accepted) [pdf]
Also Available on Journal Website: http://ieeexplore.ieee.org/document/8166807/
Congrats to undergraduate student Brooke Stephanian and PhD student Derek Allman! Their abstracts were accepted to the 2017 Optics and Photonics Conference at Johns Hopkins University.
Brooke will present a poster entitled: Theoretical Simulation to Optimize Short-Lag Spatial Coherence (SLSC) Photoacoustic Image Quality
Derek will give a presentation entitled: Using convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images
Conference details: https://engineering.jhu.edu/ece/osa/hopkins-photonics-conference/
The work of Professor Bell and the PULSE Lab is featured in the Laboratory for Computational Sensing and Robotics newsletter: https://lcsr.jhu.edu/2017/09/05/bell-studies-robot-assisted-imaging-improve-patient-care/#.WfU3jRNSxn4.
Our paper, “Feasibility of photoacoustic guided hysterectomies with the da Vinci robot,” was accepted for Oral presentation at SPIE Medical Imaging in the Image-Guided Procedures, Robotic Interventions, and Modeling conference.
Keynote and Medical Robotics
Tuesday 13 February 2018
10:10 AM – 12:10 PM
Feasibility of photoacoustic guided hysterectomies with the da Vinci robot
Authors: Margaret Allard, Joshua Shubert, Muyinatu A. Lediju Bell
Congrats to Margaret, Josh, and Prof. Bell!
Three PULSE Lab abstracts were accepted to SPIE Photonics West in the BiOS Conference Track: Photons Plus Ultrasound: Imaging and Sensing 2018 (Conference 10494). This conference track will take place Sunday- Wednesday January -28-31, 2018 at the The Moscone Center in San Francisco, California.
- A novel drill design for photoacoustic guided surgeries
Authors: Joshua Shubert, Muyinatu BellSession 3: Therapy Monitoring and Guidance IISunday 28 January 2018
1:30 PM – 2:45 PM
- Using convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images
Authors: Derek Allman, Austin Reiter, Muyinatu Bell
Session PTue: Posters-Tuesday
Tuesday 30 January 2018
6:00 PM – 8:00 PM
- Development and validation of a short-lag spatial coherence theory for photoacoustic imaging
Authors: Michelle Graham, Muyinatu Bell
Session PTue: Posters-Tuesday
Tuesday 30 January 2018
6:00 PM – 8:00 PM
Congrats to Josh, Derek, and Michelle!
Conference track website: https://spie.org/PWB/conferencedetails/photons-plus-ultrasound
The UltraSound Toolbox (USTB) is a free MATLAB toolbox for processing ultrasonic signals. The primary purpose of the USTB is to facilitate the comparison of imaging techniques and the dissemination of research results. The PULSE Lab is proud to collaborate on this effort to deliver SLSC beamforming to the broader ultrasound community. An example using the SLSC algorithm on a CIRS phantom and on human heart data was added today, as described here: http://www.ustb.no/examples/advanced-beamforming/short-lag-spatial-coherence-slsc/. The heart and phantom datasets and the SLSC code are now freely available to use. Additional datasets and beamforming code can be found by perusing the USTB website.
Congrats to Ole Marius Hoel Rindal (our visiting student from the University of Oslo) for putting in the work required to pull this together!
Congratulations to PULSE Lab undergraduate student Margaret Allard who received the best presentation award from the NSF REU program in Computational Sensing and Medical Robotics. Her presentation was entitled Identifying Optimal da Vinci Tool Orientations for Photoacoustic Guided Hysterectomies. Prof. Jerry Prince presented Margaret with this award.
This award was shared by Margaret Allard and Mindy Wagenmaker.
Our paper entitled Photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot was accepted for publication in the Journal of Biomedical Optics (JBO) Special Section on Translational Biophotonics.
Congrats to undergraduates Neeraj Gandhi and Margaret Allard!
This work was completed in partnership with the NSF REU in Computational Sensing and Medical Robotics along with collaborators Sungmin Kim and Peter Kazanzides, and it is the first to integrate photoacoustic imaging with the da Vinci surgical robot. It was also featured on the journal homepage.
Prof. Bell’s co-authored journal article, System integration and in vivo testing of a robot for ultrasound guidance and monitoring during radiotherapy, was selected to be featured by IEEE Transactions on Biomedical Engineering.
Three PULSE Lab abstracts were accepted for presentation during the 2017 IEEE International Ultrasonics Symposium (IUS) to be held on September 6-9, 2017 at the Omni Shoreham Hotel, Washington D.C., USA.
- “Theoretical Application of Short-Lag Spatial Coherence to Photoacoustic Imaging” to be presented by Michelle Graham in the MBB: Non linear and coherence imaging poster session, 3-4 pm on Thursday, September 7, 2017. (Abstract ID: 1526)
- “Photoacoustic Visual Servoing of Needle Tips to Improve Biopsy Targeting in Obese Patients” to be presented by Joshua Shubert in the MPA: Technical Developments in Photoacoustic Imaging poster session, 3-4 pm on Friday, September 8, 2017. (Abstract ID: 1088)
- “Identification and removal of reflection artifacts in photoacoustic images using convolutional neural networks” to be presented by Derek Allman in the MIM: Machine learning poster session, 9:30-10:30 am on Saturday, September 9, 2017. (Abstract ID: 1523)
Congrats to Michelle, Josh, and Derek!
Symposium website: http://ewh.ieee.org/conf/ius/2017/
PULSE Lab members presented the following four talks at the International Symposium on Ultrasonic Imaging and Tissue Characterization, June 5-7, 2017:
- Principal component short-lag spatial coherence imaging (PC-SLSC), Arun Asokan Nair, Trac D. Tran and Muyinatu A. Lediju Bell
- Photoacoustic-based visual servoing of needle tips to improve surgery on obese patients, Joshua Shubert and Muyinatu Bell
- Theoretical application of short-lag spatial coherence to photoacoustic imaging, Michelle Graham and Muyinatu Lediju Bell
- Evaluation of a convolutional neural network for identifying reflection artifacts in photoacoustic imaging, Derek M. Allman, Austin Reiter and Muyinatu A. Lediju Bell
Michelle (left) and Derek (right) giving their first PULSE Lab research presentations:
Symposium website: http://uitc-symposium.org/
Prof. Bell will co-chair the IEEE ISCAS 2017 Special Session entitled “Innovations In Acoustics”. This session will be held on May 29, 2017 at the Baltimore Marriott Waterfront in Baltimore, MD, and it provides unique access to acoustic researchers from various academic departments across Johns Hopkins University. This special session will cover acoustics on various levels, starting from background noise suppression in an electronic stethoscope, to bat echolocation processing to ultrasonic medical imaging and acoustic beamforming. It includes an invited talk from the father of microphone technology, Prof. Jim West, a National Medal of Technology and Innovation winner, a member of the National Academy of Engineering, and a recipient of countless additional high honors. The session also includes a technical talk from a local ultrasound imaging start-up company (Sonavex, Inc.) formed based on ideas born here in Baltimore at Johns Hopkins University, which uniquely supports the conference theme “from Dreams to Innovation”.
Prof. Bell presents the PULSE lab’s work to improve photoacoustic-guided surgeries using machine learning at the 3rd Global DEEP LEARNING IN HEALTHCARE SUMMIT in Boston, MA, May 25-26, 2017: https://www.re-work.co/events/deep-learning-health-boston-2017
Photo credit: teamrework
- New faculty talk by Prof. Bell
- Hands-on Demos in the PULSE Lab
The PULSE Lab received the 2nd phase of Dr. Bell’s NIH K99/R00 award to support our project entitled “Coherence-Based Photoacoustic Image Guidance of Transsphenoidal Surgeries”. This work is motivated by the clinical challenges surrounding the removal of pituitary tumors using the minimally invasive endonasal transsphenoidal approach, which incurs the deadly risk of causing injury to the internal carotid arteries. We propose to eliminate this risk by developing a sophisticated photoacoustic imaging system that visualizes blood vessels located behind bone during the surgical operation. This photoacoustic imaging system will be equipped with our novel coherence-based beamformers and our specialized light delivery systems.
Prof. Bell will give the following invited seminar in March 2017:
Prof. Bell Speaks the Future Innovators Forum of the IBM PartnerWorld Leadership Conference, Feb. 14, 2017 in Las Vegas, Nevada on the topic “Creating clearer imaging to diagnose disease earlier and reduce patient risk.”
The PULSE Lab’s work to develop specialized light delivery systems that surround surgical tools is featured in a promotional video for the SPIE Photonics West conference. The entire SPIE news release is available here.
The PULSE Lab’s latest work to apply machine learning to photoacoustic signal processing was featured in the Winter 2017 issue of the Society of Women Engineers (SWE) Magazine. The story appears as a subsection of the piece entitled, AI’s Forthcoming Transformation of Medicine. This work will also be presented at the upcoming SPIE Photonics West conference.
Prof. Bell is featured in the Impact section of the winter issue of the JHU Engineering magazine. The article, entitled Clearer Vision for Surgeons, focuses on our lab’s latest venture to integrate photoacoustic imaging with a daVinci surgical robot in collaboration with researchers in the Laboratory for Computational Sensing and Robotics.
Congratulations to Blackberrie Eddins on the acceptance of her manuscript, Design of a Multifiber Light Delivery System for Photoacoustic-Guided Surgery, for publication in the Journal of Biomedical Optics to appear in the 2017 Photoacoustic Imaging and Sensing Special Section.
The PULSE lab presented a poster at the inaugural Malone Center Symposium for Engineering in Healthcare: http://malonecenter.jhu.edu/inaugural-johns-hopkins-research-symposium-engineering-healthcare/
Title: Integration of Real-Time Photoacoustic Image Guidance with the da Vinci Surgical System
Authors: Neeraj Ghandi, Sungmin Kim, Peter Kazanzides, Muyinatu A. Lediju Bell
Three abstracts from the PULSE Lab were accepted to SPIE Photonics West, which will take place January 28 – February 2, 2017 in San Francisco, California:
- Paper 10064-18: A machine learning approach to identifying point source locations in photoacoustic data (29 January 2017 • 5:30 – 7:30 PM)
- Paper 10064-101: Optimizing light delivery for a photoacoustic surgical system (29 January 2017 • 3:00 – 3:15 PM)
- Paper 10064-125: Accuracy of a novel photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot (29 January 2017 • 5:30 – 7:30 PM)