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Improving multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information

Improving multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information

(Non-FAU Project)

Overall project:
Project leader:
Project members: ,
Start date: April 1, 2019
End date: April 30, 2022
Acronym: IMQSDL
Funding source:
URL:

Abstract

This project aims to improve multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information. Such improvements include noise reduction and artifact removal from data acquired in SPECT.

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