BME
Monday ROUNDTABLE
JUNE
12, 2023
UPCOMING
IMPORTANT DATES
Week
of June 12
Wed.,
June 14: BME
Summer Seminar Series,
9:30
a.m. via Zoom. Luis Sanjuan (Pavlos Vlachos, advisor) will present “RiNCE: A Particle Image Velocimetry Approach for Nanoparticle Characterization” and
Elnaz Ghajar-Rahimi (Craig Goergen, advisor) will present “A Novel Echocardiography Feature-Tracking Algorithm for Automated Aortic Root Diameter Measurements in Pediatric Aortopathy.”
Upcoming
Opportunity for Fun!
Do
you play a band instrument? Purdue
Bands and Orchestras has just opened registration for the 2023 Purdue University Summer Band!
This ensemble is open to all area musicians that are high school age and up. Participation in Purdue’s Summer Band is FREE to all. We plan to begin rehearsals on Tuesday, June 20, and rehearse on Tuesday and Thursday afternoons from
4:00-5:30 PM in Hagle Hall, Room 178. Our concert will be held on Thursday, July 20, 6:30 PM at Columbian Park Memorial Island Amphitheater immediately prior to a performance by the Lafayette Citizens' Band.
Register
Here: https://docs.google.com/forms/d/e/1FAIpQLSd8v47EEuzyl070XPk4QyH0fIBflpdLywlCfrGKLKZTtr4Stw/viewform
Upcoming
important deadlines and info.
Wed.,
Sept. 6: BMES
Early Bird Registration Deadline! Register
now to lock in savings with early-bird pricing for the 2023 BMES Annual Meeting (to be held in Seattle, WA, October 11-14). Thousands of biomedical engineers will attend this year’s meeting to learn, collaborate, and network. As a BMES member, you can save
more than 10% with reduced early bird rates, so if you’re not already a member, now would be a good time to join! Click here for details:
https://mailchi.mp/e3958bb463f2/o8cvhb9q5x-9335625?e=ea10e317a2
NOTE:
We recommend booking your room at the Hyatt Regency Seattle because it’s
closer to the convention center AND it’s where university receptions will be held (in addition to some being held
inside the convention center). Here’s the link to reserve with the $259 discount rate.
This rate only lasts until the allotted number of rooms have been sold.
https://www.hyatt.com/en-US/group-booking/SEARS/G-BMES
Mon.,
July 24: Final Grade Entry Begins. (Ends
promptly at 5:00 p.m., Tues., August 8th).
Committee
Updates
Academic
Programs Update
Summer
Grading Deadlines:
Graduate
Office Update
The
Purdue Office of Engagement is sponsoring an ”Advancing Graduate Research Impact in Society Professional Development Program for Future Engaged-Scholars.”
The
purpose of the Advancing Graduate Research Impact in Society certification program
is to foster the development of engaged scholarship. This professional development program will help increase knowledge, skills, and experience translating your research in ways that help solve societal problems. The program is open is any
graduate student or post-doctoral fellow enrolled at Purdue’s West Lafayette campus. Participants will meet weekly to learn how to become engaged scholars, develop community partnerships, engage with diverse communities, evaluate engagement activities,
and communicate your engaged work.
Location:
Purdue Grad Student Center, Northwestern Avenue, Room 105
Day
& Time:
Tuesdays 3:00-4:00 p.m., Fall 2023 Semester. (All sessions are in person)
Registration
required:
Open from May 18 to June 16.
If
you are interested in learning more or registering, please scan the UR code:

Resources
and further information
BME Summer Seminar Series,
Wed., June 14, 9:30 a.m. via Zoom. Luis Sanjuan (Pavlos Vlachos, advisor) will present “RiNCE: A Particle Image Velocimetry Approach for Nanoparticle Characterization” and
Elnaz Ghajar-Rahimi (Craig Goergen, advisor) will present “A Novel Echocardiography Feature-Tracking Algorithm for Automated Aortic Root Diameter Measurements in Pediatric Aortopathy.”
“RiNCE: A Particle Image Velocimetry Approach for Nanoparticle Characterization”
Abstract: Nanoparticle characterization plays a crucial role in understanding material properties and their possible modifications. Traditional techniques like dynamic light scattering, small-angle X-ray scattering, and fluorescence
correlation microscopy are commonly employed to measure properties such as size and diffusion coefficient. However, these methods have limitations in resolution and sensitivity to experimental conditions. In this study, we propose a modified particle image
velocimetry (PIV) approach called image-based probability estimation of displacement (iPED) for more accurate and repeatable measurements. iPED demonstrates enhanced accuracy and robustness in estimating the diffusion coefficients of nanoparticles ranging
from 200 nm to 1000 nm, without assumptions on particle behavior and shape. Nonetheless, iPED faces limitations when characterizing nanoparticles below 200 nm due to low signal-to-noise ratio (SNR). To address this, we introduce a revised algorithm incorporating
robust phase correlation to improve SNR and reduce error in the diffusion coefficient measurements. Monte Carlo analyses reveal a strong statistical correlation between the diffusion coefficient values and various phase plane properties across different SNR
levels of synthetic images. These results indicate promising potential for enhancing accuracy and robustness in iPED measurements, which can be extended to other characterization parameters beyond diffusion coefficient. Further investigations are warranted
to explore the full capabilities of this improved approach.
Evaluation link for Luis Sanjuan:
https://purdue.ca1.qualtrics.com/jfe/form/SV_0SXPXdqmRvRFg2y
“A Novel Echocardiography Feature-Tracking Algorithm for Automated Aortic Root Diameter Measurements in Pediatric Aortopathy”
Abstract: Transthoracic echocardiography is crucial for diagnosing and monitoring aortic root dilation in patients at risk for aortic dissection and rupture (e.g., Marfan syndrome, bicuspid aortic valve)
[1]. Maximum aortic root diameters measured from parasternal long axis (PSLAX) images help classify the severity of aortic root dilation relative to healthy controls, informing pharmacological and/or surgical treatment strategies. However, aortic diameter
remains an incomplete characterization of disease status and even small errors in diameter measurements can influence clinical care decisions [2]. Here, we present a novel feature-tracking algorithm that utilizes goodness-of-fit weighting to automatically
stabilize PSLAX images, quantify aortic root size, and estimate parameters previously unattainable via standard clinical methods. When compared to standard of care techniques, the algorithm-derived aortic root diameters were highly correlated (r2>
0.96) to measurements made by a board-certified cardiologist. The algorithm stabilized aortic root translation and tracked anterior and posterior surfaces of the aortic root, which allowed for estimation of aortic root behavior between systole and diastole
in Marfan Syndrome patients and control patients with no cardiac disease. This novel approach provides a holistic definition of aortic geometry and paves the way for more comprehensively describing aortic root properties. We anticipate that expansion of this
algorithm to include additional biomechanical analyses and its application in a larger cohorts of patients will bolster our understanding of vessel wall dynamics and the pathologies underlying pediatric aortopathy.
Evaluation link for Elnaz Ghajar-Rahimi:
https://purdue.ca1.qualtrics.com/jfe/form/SV_cOqtyvOFetlLIuq
https://purdue-edu.zoom.us/j/98231659969?pwd=T21Oa1B6QzFyQzFvckMzS1doNGlJUT09
Meeting ID: 982 3165 9969 Passcode: biomedical
“