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	2010 Nuclear Science Symposium and Medical Imaging Conference - Knoxville, United States Duration: 30 Oct 2010 → 6 Nov 2010

Conference

Conference	2010 Nuclear Science Symposium and Medical Imaging Conference
Country/Territory	United States
City	Knoxville
Period	30/10/2010 → 06/11/2010

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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 = "2010 Nuclear Science Symposium and Medical Imaging Conference ; Conference date: 30-10-2010 Through 06-11-2010",

}

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, 2010 Nuclear Science Symposium and Medical Imaging Conference, Knoxville, Tennessee, United States, 30/10/2010. <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 et al.
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 - 2010 Nuclear Science Symposium and Medical Imaging Conference

Y2 - 30 October 2010 through 6 November 2010

ER -

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

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