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

Y.H. Noorda

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

Y.H. Noorda

Onderzoeksoutput: Scriptie › Dissertatie 4 (Onderzoek NIET TU/e / Promotie NIET TU/e)

Samenvatting

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.

Originele taal-2	Engels
Begeleider(s)/adviseur	Pluim, Josien P.W., Promotor Viergever, Max A., Promotor, Externe Persoon Bartels, L.W., Co-Promotor
Datum van toekenning	20 dec. 2016
Plaats van publicatie	Utrecht
Uitgever	Utrecht University
Gedrukte ISBN's	978-90-393-6687-5
Status	Gepubliceerd - 2016
Extern gepubliceerd	Ja

Citeer dit

@phdthesis{b9da23ede4d84613977a7ff048aba4b0,

title = "Automatic image processing solutions for MRI-guided minimally invasive intervention planning",

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.",

author = "Y.H. Noorda",

year = "2016",

language = "English",

isbn = "978-90-393-6687-5",

publisher = "Utrecht University",

address = "Netherlands",

type = "Phd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)",

}

TY - THES

T1 - Automatic image processing solutions for MRI-guided minimally invasive intervention planning

AU - Noorda, Y.H.

PY - 2016

Y1 - 2016

N2 - 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.

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

PB - Utrecht University

CY - Utrecht

ER -

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

Samenvatting

Vingerafdruk

Citeer dit