This work is described in:
Orzada S, Fielder TM, Quick HH, Ladd ME,
"A local SAR compression algorithm with improved compression, speed and flexibility",
https://doi.org/10.1002/mrm.28739.

This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140)

The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with speed-up factors of up to 2.5.

Project Activity

See All Activity >

Categories

Medical Physics

License

MIT License

Follow Enhanced SAR Compression

Enhanced SAR Compression Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Enhanced SAR Compression!

Additional Project Details

Intended Audience

Science/Research

Programming Language

MATLAB

Related Categories

MATLAB Medical Physics Software

Registered

2020-11-09