A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks

Research output: Contribution to journalJournal articleResearchpeer-review

4 Citations (Scopus)
Original languageEnglish
JournalActa Oncologica
Volume54
Issue number9
Pages (from-to)1515-20
Number of pages6
ISSN0284-186X
DOIs
Publication statusPublished - 2015

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Thorax
Tomography
Lung
Validation Studies
Lymphoma

Cite this

@article{893f19999e4f47e5aadb44d963322ee1,
title = "A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks",
author = "Nielsen, {Martin S} and {\O}stergaard, {Lasse R} and Jesper Carl",
year = "2015",
doi = "10.3109/0284186X.2015.1061215",
language = "English",
volume = "54",
pages = "1515--20",
journal = "Acta Oncologica",
issn = "0284-186X",
publisher = "Taylor & Francis",
number = "9",

}

A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks. / Nielsen, Martin S; Østergaard, Lasse R; Carl, Jesper.

In: Acta Oncologica, Vol. 54, No. 9, 2015, p. 1515-20.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks

AU - Nielsen, Martin S

AU - Østergaard, Lasse R

AU - Carl, Jesper

PY - 2015

Y1 - 2015

U2 - 10.3109/0284186X.2015.1061215

DO - 10.3109/0284186X.2015.1061215

M3 - Journal article

VL - 54

SP - 1515

EP - 1520

JO - Acta Oncologica

JF - Acta Oncologica

SN - 0284-186X

IS - 9

ER -