Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging

Oline Vinter Olesen; Sune Keller; Merence Sibomana; Rasmus Larsen; Bjarne Roed; Liselotte Højgaard

Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging

Oline Vinter Olesen, Sune Keller, Merence Sibomana, Rasmus Larsen, Bjarne Roed, Liselotte Højgaard

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

Abstract

Motion correction (MC) in positron emission tomography (PET) brain imaging become of higher importance with increasing scanner resolution. Several motion correction methods have been suggested and so far the Polaris Vicra tracking system has been the preferred one for motion registration. We present an automated algorithm for dividing PET acquisitions into subframes based on the registered head motion to correct for intra-frame motion with the frame repositioning MC method. The method is tested on real patient data (five 11C-SB studies and five 11C-PIB studies) and compared with an image based registration method (AIR). Quantitative evaluation was done using a correlation measure. The study shows that MC improves the correlation of the PET images and that AIR performed slightly better than the Polaris Vicra. We found significant intra-frame motion of 1-5 mm in 9 frames but the correlation was not significantly improved using intra-frame MC.

Original language	English
Title of host publication	Conference Record of the IEEE Nuclear Science Symposium and Medical Imaging Conference
Publisher	Nuclear Science Symposium and Medical Imaging Conference
Publication date	2010
Publication status	Published - 2010
Event	Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging - Nuclear Science Symposium and Medical Imaging Conference, Knoxville, USA Duration: 1 Jan 2010 → …

Conference

Conference	Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging
City	Nuclear Science Symposium and Medical Imaging Conference, Knoxville, USA
Period	01/01/2010 → …

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http://www.nss-mic.org/2010/

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@inproceedings{10bbc20e9f044e5f96a64baeb65bdaf5,

title = "Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging",

abstract = "Motion correction (MC) in positron emission tomography (PET) brain imaging become of higher importance with increasing scanner resolution. Several motion correction methods have been suggested and so far the Polaris Vicra tracking system has been the preferred one for motion registration. We present an automated algorithm for dividing PET acquisitions into subframes based on the registered head motion to correct for intra-frame motion with the frame repositioning MC method. The method is tested on real patient data (five 11C-SB studies and five 11C-PIB studies) and compared with an image based registration method (AIR). Quantitative evaluation was done using a correlation measure. The study shows that MC improves the correlation of the PET images and that AIR performed slightly better than the Polaris Vicra. We found significant intra-frame motion of 1-5 mm in 9 frames but the correlation was not significantly improved using intra-frame MC.",

author = "Olesen, {Oline Vinter} and Sune Keller and Merence Sibomana and Rasmus Larsen and Bjarne Roed and Liselotte H{\o}jgaard",

year = "2010",

language = "English",

booktitle = "Conference Record of the IEEE Nuclear Science Symposium and Medical Imaging Conference",

publisher = "Nuclear Science Symposium and Medical Imaging Conference",

note = "Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging ; Conference date: 01-01-2010",

}

Olesen, OV, Keller, S, Sibomana, M, Larsen, R, Roed, B & Højgaard, L 2010, Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging. in Conference Record of the IEEE Nuclear Science Symposium and Medical Imaging Conference. Nuclear Science Symposium and Medical Imaging Conference, Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging, Nuclear Science Symposium and Medical Imaging Conference, Knoxville, USA, 01/01/2010. <http://www.nss-mic.org/2010/>

Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging. / Olesen, Oline Vinter; Keller, Sune; Sibomana, Merence; Larsen, Rasmus; Roed, Bjarne; Højgaard, Liselotte.

Conference Record of the IEEE Nuclear Science Symposium and Medical Imaging Conference. Nuclear Science Symposium and Medical Imaging Conference, 2010.

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

TY - GEN

T1 - Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging

AU - Olesen, Oline Vinter

AU - Keller, Sune

AU - Sibomana, Merence

AU - Larsen, Rasmus

AU - Roed, Bjarne

AU - Højgaard, Liselotte

PY - 2010

Y1 - 2010

N2 - Motion correction (MC) in positron emission tomography (PET) brain imaging become of higher importance with increasing scanner resolution. Several motion correction methods have been suggested and so far the Polaris Vicra tracking system has been the preferred one for motion registration. We present an automated algorithm for dividing PET acquisitions into subframes based on the registered head motion to correct for intra-frame motion with the frame repositioning MC method. The method is tested on real patient data (five 11C-SB studies and five 11C-PIB studies) and compared with an image based registration method (AIR). Quantitative evaluation was done using a correlation measure. The study shows that MC improves the correlation of the PET images and that AIR performed slightly better than the Polaris Vicra. We found significant intra-frame motion of 1-5 mm in 9 frames but the correlation was not significantly improved using intra-frame MC.

AB - Motion correction (MC) in positron emission tomography (PET) brain imaging become of higher importance with increasing scanner resolution. Several motion correction methods have been suggested and so far the Polaris Vicra tracking system has been the preferred one for motion registration. We present an automated algorithm for dividing PET acquisitions into subframes based on the registered head motion to correct for intra-frame motion with the frame repositioning MC method. The method is tested on real patient data (five 11C-SB studies and five 11C-PIB studies) and compared with an image based registration method (AIR). Quantitative evaluation was done using a correlation measure. The study shows that MC improves the correlation of the PET images and that AIR performed slightly better than the Polaris Vicra. We found significant intra-frame motion of 1-5 mm in 9 frames but the correlation was not significantly improved using intra-frame MC.

M3 - Article in proceedings

BT - Conference Record of the IEEE Nuclear Science Symposium and Medical Imaging Conference

PB - Nuclear Science Symposium and Medical Imaging Conference

T2 - Automatic Thresholding for Frame-Repositioning Using External Tracking in PET Brain Imaging

Y2 - 1 January 2010

ER -