[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with Zlatko Sokolikj

[eoas-seminar at lists.fsu.edu]

"Redistilling GRAPPA: A Bipartite Graph Formulation for Parallel MRI Reconstruction"

Zlatko Sokolikj

Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

NOTE: In-person attendance is requested in our 499 Dirac Science Library (DSL) Seminar Room. Zoom access is intended for external (non-departmental) participants only.

https://fsu.zoom.us/j/94273595552
Meeting # 942 7359 5552


Wednesday, Sep 30, 2026, Schedule:

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3:00 to 3:30 PM Eastern Time (US and Canada)
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☕ Nespresso & Teatime - 417 DSL Commons

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3:30 to 4:30 PM Eastern Time (US and Canada)
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🕟 Colloquium - 499 DSL Seminar Room


Abstract:
Magnetic resonance imaging (MRI) produces high-resolution images of soft tissue without ionizing radiation, but acquisition remains relatively slow because the scanner must sample raw spatial-frequency data, known as k-space, before reconstructing the final image. Parallel MRI accelerates this process by using multiple receiver coils to recover information from undersampled data. GRAPPA is a widely used k-space parallel imaging method that estimates missing samples through interpolation weights learned from a fully sampled autocalibration signal (ACS) region.

This talk presents Bipartite-Graph GRAPPA (BG-GRAPPA), a graph-based view of GRAPPA reconstruction in which acquired multicoil k-space samples are represented as source nodes, missing samples are represented as target nodes, and calibrated interpolation weights form the edges between them. This reformulation preserves the scan-specific calibration structure of classical GRAPPA while making its source-to-target connectivity explicit.

Using this graph view, the talk examines how reconstruction behavior changes across anatomy, acceleration, coil relationships, target classes, and spatial location in k-space. The results show that reconstruction difficulty is not uniform: performance varies across k-space, and improvements in magnitude image quality do not always correspond to improved complex k-space agreement. By making GRAPPA’s interpolation structure visible, BG-GRAPPA provides a framework for analyzing which connections matter, where calibration transfers reliably, and how more adaptive reconstruction strategies may be designed.

Additional colloquium details can be found here:
https://www.sc.fsu.edu/news-and-events/colloquium/colloquium-with-zlatko-sokolikj-2026-09-30<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2Fcolloquium-with-zlatko-sokolikj-2026-09-30&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C4972f223c755419d14fe08df1bf2d8f1%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639260401958426246%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=vc7REmmRxSJGi7Gt7ner%2FnSX7p9C93D6XsH00aKNiVU%3D&reserved=0>

🎦 Colloquium recordings will be made available here: https://www.sc.fsu.edu/colloquium<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C4972f223c755419d14fe08df1bf2d8f1%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639260401958452557%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=CU0EVAlCGY7n%2FwTuIRJa4Kf8tZO9ucU54uw0QuwpkC4%3D&reserved=0>
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