Deep Learning in der SPECT und PET des Gehirns

Ralph Buchert; Julia Krüger; Nils Gessert; Wencke Lehnert; Ivayla Apostolova; Susanne Klutmann; Alexander Schlaefer

doi:10.1055/a-0838-8124

Der Nuklearmediziner, Table of Contents

Der Nuklearmediziner 2019; 42(02): 118-132
DOI: 10.1055/a-0838-8124

CME-Fortbildung

Deep Learning in der SPECT und PET des Gehirns

Deep Learning in SPECT and PET of the brain

Ralph Buchert

¹Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Hamburg

,

Julia Krüger

²jung diagnostics, Hamburg

,

Nils Gessert

³Institut für Medizintechnische Systeme, Technische Universität Hamburg, Hamburg

,

Wencke Lehnert

¹Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Hamburg

,

Ivayla Apostolova

¹Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Hamburg

,

Susanne Klutmann

¹Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Hamburg

,

Alexander Schlaefer

³Institut für Medizintechnische Systeme, Technische Universität Hamburg, Hamburg

› Author Affiliations
Subject Editor: Wissenschaftlich verantwortlich gemäß Zertifizierungsbestimmungen für diesen Beitrag ist Prof. Dr. med. Stefan Dresel, Berlin

Abstract

Deep Learning hat in den letzten Jahren in vielen Bereichen spektakuläre Erfolge erzielt, nicht zuletzt in der medizinischen Bildverarbeitung. Nach einer kurzen Einführung in die grundlegenden Ideen von Deep Learning sollen in diesem Übersichtsartikel einige ausgewählte Anwendungen in der SPECT und PET des Gehirns vorgestellt werden.

Abstract

Deep learning has led to stunning achievements in many areas in recent years, including medical image processing. After a brief discussion of the basic principles of deep learning, some selected applications of deep learning in SPECT and PET of the brain will be presented.

Schlüsselwörter

Deep Learning - faltende neuronale Netze - CNN - SPECT - PET - Parkinson - Alzheimer

Keywords

deep learning - convolutional neural network - CNN - SPECT - PET - Parkinsonʼs disease - Alzheimerʼs disease

Full Text

References

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