Bio Imaging & Signal Processing Lab
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    • MR Ghost Artifact correction using ALOHA
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Latest Research Highlight
​Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems 

Ye et al, SIAM Journal on Imaging Sciences (in press), 2018

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ISMRM Highlights Post

2/21/2017

 

Q&A  with Dongwook and JCY

http://www.ismrm.org/qa-with-dongwook-lee-and-jong-chul-ye/
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    BISPL@KAIST

    BISPL is a group of people at KAIST who are eager to dedicate their time and effort to investigate the beauty of bio- and medical imaging with the help of mathematics and physics.

    Our Location

ABOUT US
We are interested in novel bio-imaging and signal processing techniques that can greatly enhance our ability to monitor biological structures and functions. The mathematical tool of BISPL is a new signal processing theory called "compressed sensing". According to compressed sensing theory, perfect reconstruction is possible even from sampling rates dramatically smaller than the Nyquist sampling limit, as long as the non-zero spectral signal is sparse and the samples are obtained with an incoherent basis. From the bio imaging perspective, compressed sensing is a disruptive technology that challenges our current imaging principles. Therefore, our current research activities have been focused on demonstration of new proof-of-concept bioimaging tools for the aforementioned real bio-imaging applications .
CONTACT US
Bio Imaging & Signal Processing Lab. 
Dept. of Bio & Brain Engineering 
KAIST
291 Daehak-ro, Yuseong-gu
Daejeon 305-701, Korea

Copyright (c) 2014, BISPL
All Rights Reserved.

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