z-logo
open-access-imgOpen Access
Artificial Intelligence Analysis of Magnetic Particle Imaging for Islet Transplantation in a Mouse Model
Author(s) -
Hasaan Hayat,
Aixia Sun,
Hanaan Hayat,
Sihai Liu,
Nazanin Talebloo,
Cody Pinger,
Jack Owen Bishop,
Mihir Gudi,
Bennett Francis Dwan,
Xiaohong Ma,
Yunfeng Zhao,
Anna Moore,
Ping Wang
Publication year - 2020
Publication title -
molecular imaging and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.846
H-Index - 68
eISSN - 1860-2002
pISSN - 1536-1632
DOI - 10.1007/s11307-020-01533-5
Subject(s) - segmentation , computer science , artificial intelligence , transplantation , region of interest , in vivo , ex vivo , pattern recognition (psychology) , biomedical engineering , medicine , biology , microbiology and biotechnology
Current approaches to quantification of magnetic particle imaging (MPI) for cell-based therapy are thwarted by the lack of reliable, standardized methods of segmenting the signal from background in images. This calls for the development of artificial intelligence (AI) systems for MPI analysis.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here