
Jolley Lab
@jolleylab
Lab Goals: 3D image-based computer modeling of pediatric hearts and valves to inform precision medicine and intervention. PI: Matthew A. Jolley.
ID: 1452992766057844737
https://www.research.chop.edu/jolley-laboratory 26-10-2021 13:38:41
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331 Followers
129 Following

High-quality 3D images of kids hearts and valves form the foundation for Jolley Lab's scientific research and translational clinical modeling programs. We depend on our team of talented and experienced 3D sonographers to make this happen every day. CHOPCardiacCenter CHOP Research


The team constructed gingerbread houses yielding some great designs; minus the house created by two of our ME trained post-docs that had to be condemned due to structural failure (not shown). A applied teammate noted: "they are computational geniuses, but...(sigh)". Mechanical Engineering and Applied Mechanics, Penn


Congratulations to @Jolleylab RA turned med student Alana Cianciulli and team on their publication demonstrating how volume rendered CT can be used to visualize and plan interventions for complex VSDs. CHOPCardiacCenter CHOP Research PCOM sciencedirect.com/science/articl…

Congratulations Wensi Wu! We are SO proud of you! CHOPCardiacCenter CHOP Research Penn Bioengineering blog.me.upenn.edu/wensi-wu/

The Jolley Lab is excited to welcome Research Scientist Seda Aslan who just completed her PhD at Johns Hopkins Engineering focused on developing multi-physics models of vascular grafts in CHD. Welcome to the team! CHOPCardiacCenter Mechanical Engineering and Applied Mechanics, Penn Penn Bioengineering


Our work is serious, but the @jolleylab team definitely knows how to enjoy the process. Thank you to CHOPCardiacCenter for the Heart Month Celebration at the PENN museum.



The Jolley Lab was thrilled to participate in the 2025 Philly Spin In to support the Innovation at the Children's Hospital Cardiac Center. Our crew had a great time and was honored to be the top CHOP employee fundraising team for 2025. CHOPCardiacCenter CHOP Research


Congratulations to Yuval B, Michael O'Byrne, Ryan Callahan and team on their publication demonstrating application of the SlicerHeart FFC to children with pulmonary vein stenosis. CHOPCardiacCenter CHOP Research authors.elsevier.com/sd/article/S27…


Congratulations to Mudit Gupta, Silvani Amin, Yuval B, Michael O'Byrne, Andrew Glatz, and team on their publication describing automated quantification of CT images to inform ductal stenting procedures: pubmed.ncbi.nlm.nih.gov/40152008/. PICSL Penn Bioengineering CHOPCardiacCenter


Congratulations Devin Laurence, Jeff Weiss, Steve Maas and team! FEBio Software 3D Slicer #SlicerHeart

It was wonderful to see the efforts of Kevin Whitehead and members of both the Topolewski Valve Center and Clinical Cardiac Modeling Team featured in the Children's Hospital magazine "Children's View". chop.edu/giving/news/im… CHOPCardiacCenter CHOP Research Penn Bioengineering



Congratulations to Wensi Wu and team on their publication demonstrating how the intersection of image processing, machine learning and biomechanics can help us better understand the function of cardiac valves:sciencedirect.com/science/articl… Penn Bioengineering PICSL Mechanical Engineering and Applied Mechanics, Penn


Welcome @WensiWu, Research Assistant Professor in Mechanical Engineering and Applied Mechanics, Penn. Driven by a passion for modeling real-world mechanics, Wu uses digital twins to explore the human heart, personalizing cardiac diagnosis & surgery. bit.ly/4l7fHlT


Congratulations to the Jolley Lab, SlicerHeart and FEBio Software teams on their new preprint on arXiv demonstrating an integrated workflow for the simulation of TPVR in patients with native outflow tracts: arxiv.org/abs/2507.06337 CHOPCardiacCenter CHOP Research Matthew Gillespie

Congratulations to Wensi Wu, Alison Pouch and team on receiving a 2025 Additional Ventures Single Ventricle Research Award. Mechanical Engineering and Applied Mechanics, Penn Penn Bioengineering Penn Engineering PICSL CHOPCardiacCenter CHOP Research


Thank you to UVA School of Medicine student Tylah Harrison for her QI-based efforts to evaluate and improve the utility of a web-based viewer for 3D image-derived models to inform the planning of cardiac interventions in children as part of the Children's Hospital SUMMR program.