Automatic image processing solutions for MRI-guided minimally invasive intervention planning

Y.H. Noorda

Research output: ThesisPhd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

Abstract

In this thesis, automatic image processing methods are discussed for the purpose of improving treatment planning of MRI-guided minimally invasive interventions. Specifically, the following topics are addressed: rib detection in MRI, liver motion modeling in MRI and MR-CT registration of planning image for HIFU treatment.
Original languageEnglish
Supervisors/Advisors
  • Pluim, Josien P.W., Promotor
  • Viergever, Max A., Promotor, External person
  • Bartels, L.W., Copromotor
Award date20 Dec 2016
Place of PublicationUtrecht
Publisher
Print ISBNs978-90-393-6687-5
Publication statusPublished - 2016
Externally publishedYes

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Ribs
Liver

Cite this

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abstract = "In this thesis, automatic image processing methods are discussed for the purpose of improving treatment planning of MRI-guided minimally invasive interventions. Specifically, the following topics are addressed: rib detection in MRI, liver motion modeling in MRI and MR-CT registration of planning image for HIFU treatment.",
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publisher = "Utrecht University",
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Automatic image processing solutions for MRI-guided minimally invasive intervention planning. / Noorda, Y.H.

Utrecht : Utrecht University, 2016.

Research output: ThesisPhd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

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AB - In this thesis, automatic image processing methods are discussed for the purpose of improving treatment planning of MRI-guided minimally invasive interventions. Specifically, the following topics are addressed: rib detection in MRI, liver motion modeling in MRI and MR-CT registration of planning image for HIFU treatment.

M3 - Phd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

SN - 978-90-393-6687-5

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