Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data

Matthias Färber; Björn Gawenda; Christian Arved Bohn; Heinz Handels

doi:10.1007/978-3-540-78640-5_63

Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data

Matthias Färber, Björn Gawenda, Christian Arved Bohn, Heinz Handels

Institute of Medical Informatics

Abstract

Manual landmark positioning in volumetric image data is a complex task and often results in erroneous landmark positions. The landmark positioning tool presented uses image curvature features to precompute suitable candidates for landmark positions on surface data of anatomical structures. A force-feedback I/O device is then used to haptically guide the user during the definition of the correct landmarks in the 3D data volume. Furthermore, existing landmarks in a time-point of a sequence of 3D volumes (4D data set) can iteratively be transferred to other time-points using a surface based registration technique. First results show significant time savings and small interobserver variability (IROV) compared to the IROV of manually defined landmark positions using orthogonal slices of the image data.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2008
Number of pages	5
Place of Publication	Berlin, Heidelberg
Publisher	Springer Verlag
Publication date	01.12.2008
Pages	313-317
ISBN (Print)	978-3-540-78639-9
ISBN (Electronic)	978-3-540-78640-5
DOIs	https://doi.org/10.1007/978-3-540-78640-5_63
Publication status	Published - 01.12.2008
Event	Workshop on Bildverarbeitung fur die Medizin 2008 - Berlin, Germany Duration: 06.04.2008 → 08.04.2008

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10.1007/978-3-540-78640-5_63

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title = "Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data",

abstract = "Manual landmark positioning in volumetric image data is a complex task and often results in erroneous landmark positions. The landmark positioning tool presented uses image curvature features to precompute suitable candidates for landmark positions on surface data of anatomical structures. A force-feedback I/O device is then used to haptically guide the user during the definition of the correct landmarks in the 3D data volume. Furthermore, existing landmarks in a time-point of a sequence of 3D volumes (4D data set) can iteratively be transferred to other time-points using a surface based registration technique. First results show significant time savings and small interobserver variability (IROV) compared to the IROV of manually defined landmark positions using orthogonal slices of the image data.",

author = "Matthias F{\"a}rber and Bj{\"o}rn Gawenda and Bohn, {Christian Arved} and Heinz Handels",

year = "2008",

month = dec,

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doi = "10.1007/978-3-540-78640-5_63",

language = "English",

isbn = "978-3-540-78639-9",

series = "Informatik aktuell",

publisher = "Springer Verlag",

pages = "313--317",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2008",

note = "Workshop on Bildverarbeitung fur die Medizin 2008, BVM 2008 ; Conference date: 06-04-2008 Through 08-04-2008",

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Färber, M, Gawenda, B, Bohn, CA & Handels, H 2008, Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data. in Bildverarbeitung für die Medizin 2008 . Informatik aktuell, Springer Verlag, Berlin, Heidelberg, pp. 313-317, Workshop on Bildverarbeitung fur die Medizin 2008, Berlin, Berlin, Germany, 06.04.08. https://doi.org/10.1007/978-3-540-78640-5_63

Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data. / Färber, Matthias; Gawenda, Björn; Bohn, Christian Arved et al.
Bildverarbeitung für die Medizin 2008 . Berlin, Heidelberg: Springer Verlag, 2008. p. 313-317 (Informatik aktuell).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data

AU - Färber, Matthias

AU - Gawenda, Björn

AU - Bohn, Christian Arved

AU - Handels, Heinz

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Y1 - 2008/12/1

N2 - Manual landmark positioning in volumetric image data is a complex task and often results in erroneous landmark positions. The landmark positioning tool presented uses image curvature features to precompute suitable candidates for landmark positions on surface data of anatomical structures. A force-feedback I/O device is then used to haptically guide the user during the definition of the correct landmarks in the 3D data volume. Furthermore, existing landmarks in a time-point of a sequence of 3D volumes (4D data set) can iteratively be transferred to other time-points using a surface based registration technique. First results show significant time savings and small interobserver variability (IROV) compared to the IROV of manually defined landmark positions using orthogonal slices of the image data.

AB - Manual landmark positioning in volumetric image data is a complex task and often results in erroneous landmark positions. The landmark positioning tool presented uses image curvature features to precompute suitable candidates for landmark positions on surface data of anatomical structures. A force-feedback I/O device is then used to haptically guide the user during the definition of the correct landmarks in the 3D data volume. Furthermore, existing landmarks in a time-point of a sequence of 3D volumes (4D data set) can iteratively be transferred to other time-points using a surface based registration technique. First results show significant time savings and small interobserver variability (IROV) compared to the IROV of manually defined landmark positions using orthogonal slices of the image data.

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U2 - 10.1007/978-3-540-78640-5_63

DO - 10.1007/978-3-540-78640-5_63

M3 - Conference contribution

SN - 978-3-540-78639-9

T3 - Informatik aktuell

SP - 313

EP - 317

BT - Bildverarbeitung für die Medizin 2008

PB - Springer Verlag

CY - Berlin, Heidelberg

T2 - Workshop on Bildverarbeitung fur die Medizin 2008

Y2 - 6 April 2008 through 8 April 2008

ER -

Haptic Landmark Positioning and Automatic Landmark Transfer in 4D Lung CT Data

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