Modeling and MR-thermometry for adaptive hyperthermia in cervical Cancer

Iva Vilas Boas Ribeiro

Modeling and MR-thermometry for adaptive hyperthermia in cervical Cancer

Iva Vilas Boas Ribeiro

Radiotherapy

Research output: Types of Thesis › Doctoral Thesis › Internal

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Abstract

The research in this thesis showed that combining modeling and MR-thermometry may enable a more controlled and tailored MR-guided treatment for each patient. The standard use of MR imaging during hyperthermia would enable gathering data that may further increase treatment quality control.

Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	van Rhoon, Gerard, Supervisor Paulides, Maarten, Supervisor
Award date	28 Jun 2023
Place of Publication	Rotterdam
Print ISBNs	978-94-91462-51-1
Publication status	Published - 28 Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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final dissertation Ribeiro, Iva Final published version, 62.7 MB
embargo version Ribeiro, IvaOther version, 55.6 MB

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title = "Modeling and MR-thermometry for adaptive hyperthermia in cervical Cancer",

abstract = "The research in this thesis showed that combining modeling and MR-thermometry may enable a more controlled and tailored MR-guided treatment for each patient. The standard use of MR imaging during hyperthermia would enable gathering data that may further increase treatment quality control.",

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TY - BOOK

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AU - Vilas Boas Ribeiro, Iva

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N2 - The research in this thesis showed that combining modeling and MR-thermometry may enable a more controlled and tailored MR-guided treatment for each patient. The standard use of MR imaging during hyperthermia would enable gathering data that may further increase treatment quality control.

AB - The research in this thesis showed that combining modeling and MR-thermometry may enable a more controlled and tailored MR-guided treatment for each patient. The standard use of MR imaging during hyperthermia would enable gathering data that may further increase treatment quality control.

M3 - Doctoral Thesis

SN - 978-94-91462-51-1

CY - Rotterdam

ER -

Modeling and MR-thermometry for adaptive hyperthermia in cervical Cancer

Abstract

UN SDGs

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