Real Time Surface Registration for PET Motion Tracking

Jakob Wilm; Oline Vinter Olesen; Rasmus Reinhold Paulsen; Liselotte Højgaard; Bjarne Roed; Rasmus Larsen

doi:10.1007/978-3-642-21227-7_16

Real Time Surface Registration for PET Motion Tracking

Jakob Wilm
, Oline Vinter Olesen
, Rasmus Reinhold Paulsen
, Liselotte Højgaard
, Bjarne Roed
, Rasmus Larsen

Siemens A/S
Copenhagen University Hospital Herlev and Gentofte

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Head movement during high resolution Positron Emission Tomography brain studies causes blur and artifacts in the images. Therefore, attempts are being made to continuously monitor the pose of the head and correct for this movement. Specifically, our method uses a structured light scanner system to create point clouds representing parts of the patient's face. The movement is estimated by a rigid registration of the point clouds. The registration should be done using a robust algorithm that can handle partial overlap and ideally operate in real time. We present an optimized Iterative Closest Point algorithm that operates at 10 frames per second on partial human face surfaces. © 2011 Springer-Verlag.

Original language	English
Title of host publication	Image Analysis : 17th Scandinavian Conference, SCIA 2011 Ystad, Sweden, May 2011 Proceedings
Publisher	Springer
Publication date	2011
Pages	166-175
ISBN (Print)	978-3-642-21226-0
ISBN (Electronic)	978-3-642-21227-7
DOIs	https://doi.org/10.1007/978-3-642-21227-7_16
Publication status	Published - 2011
Event	17th Scandinavian Conference on Image Analysis (SCIA) - Ystad Saltsjöbad, Ystad, Sweden Duration: 23 May 2011 → 27 May 2011 http://www.maths.lth.se/vision/scia2011/

Conference

Conference	17th Scandinavian Conference on Image Analysis (SCIA)
Location	Ystad Saltsjöbad
Country/Territory	Sweden
City	Ystad
Period	23/05/2011 → 27/05/2011
Internet address	http://www.maths.lth.se/vision/scia2011/

Series	Lecture Notes in Computer Science
ISSN	0302-9743

Keywords

Registration
ICP
Motion tracking

Access to Document

10.1007/978-3-642-21227-7_16

OpenUrl availability

Check availability in DTU Findit

Cite this

@inproceedings{b9a3f5fcb1ef41cca5a8b1fabade9677,

title = "Real Time Surface Registration for PET Motion Tracking",

abstract = "Head movement during high resolution Positron Emission Tomography brain studies causes blur and artifacts in the images. Therefore, attempts are being made to continuously monitor the pose of the head and correct for this movement. Specifically, our method uses a structured light scanner system to create point clouds representing parts of the patient's face. The movement is estimated by a rigid registration of the point clouds. The registration should be done using a robust algorithm that can handle partial overlap and ideally operate in real time. We present an optimized Iterative Closest Point algorithm that operates at 10 frames per second on partial human face surfaces. {\textcopyright} 2011 Springer-Verlag.",

keywords = "Registration, ICP, Motion tracking",

author = "Jakob Wilm and Olesen, \{Oline Vinter\} and Paulsen, \{Rasmus Reinhold\} and Liselotte H{\o}jgaard and Bjarne Roed and Rasmus Larsen",

year = "2011",

doi = "10.1007/978-3-642-21227-7\_16",

language = "English",

isbn = "978-3-642-21226-0",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "166--175",

booktitle = "Image Analysis",

note = "17th Scandinavian Conference on Image Analysis (SCIA) ; Conference date: 23-05-2011 Through 27-05-2011",

url = "http://www.maths.lth.se/vision/scia2011/",

}

Wilm, J, Olesen, OV, Paulsen, RR, Højgaard, L, Roed, B & Larsen, R 2011, Real Time Surface Registration for PET Motion Tracking. in Image Analysis: 17th Scandinavian Conference, SCIA 2011 Ystad, Sweden, May 2011 Proceedings. Springer, Lecture Notes in Computer Science, pp. 166-175, 17th Scandinavian Conference on Image Analysis (SCIA), Ystad, Sweden, 23/05/2011. https://doi.org/10.1007/978-3-642-21227-7_16

Real Time Surface Registration for PET Motion Tracking. / Wilm, Jakob; Olesen, Oline Vinter; Paulsen, Rasmus Reinhold et al.
Image Analysis: 17th Scandinavian Conference, SCIA 2011 Ystad, Sweden, May 2011 Proceedings. Springer, 2011. p. 166-175 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Real Time Surface Registration for PET Motion Tracking

AU - Wilm, Jakob

AU - Olesen, Oline Vinter

AU - Paulsen, Rasmus Reinhold

AU - Højgaard, Liselotte

AU - Roed, Bjarne

AU - Larsen, Rasmus

PY - 2011

Y1 - 2011

N2 - Head movement during high resolution Positron Emission Tomography brain studies causes blur and artifacts in the images. Therefore, attempts are being made to continuously monitor the pose of the head and correct for this movement. Specifically, our method uses a structured light scanner system to create point clouds representing parts of the patient's face. The movement is estimated by a rigid registration of the point clouds. The registration should be done using a robust algorithm that can handle partial overlap and ideally operate in real time. We present an optimized Iterative Closest Point algorithm that operates at 10 frames per second on partial human face surfaces. © 2011 Springer-Verlag.

AB - Head movement during high resolution Positron Emission Tomography brain studies causes blur and artifacts in the images. Therefore, attempts are being made to continuously monitor the pose of the head and correct for this movement. Specifically, our method uses a structured light scanner system to create point clouds representing parts of the patient's face. The movement is estimated by a rigid registration of the point clouds. The registration should be done using a robust algorithm that can handle partial overlap and ideally operate in real time. We present an optimized Iterative Closest Point algorithm that operates at 10 frames per second on partial human face surfaces. © 2011 Springer-Verlag.

KW - Registration

KW - ICP

KW - Motion tracking

U2 - 10.1007/978-3-642-21227-7_16

DO - 10.1007/978-3-642-21227-7_16

M3 - Article in proceedings

SN - 978-3-642-21226-0

T3 - Lecture Notes in Computer Science

SP - 166

EP - 175

BT - Image Analysis

PB - Springer

T2 - 17th Scandinavian Conference on Image Analysis (SCIA)

Y2 - 23 May 2011 through 27 May 2011

ER -

Real Time Surface Registration for PET Motion Tracking

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this