List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

Research output: Contribution to journalJournal article – Annual report year: 2013Researchpeer-review

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List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject. / Olesen, Oline Vinter; Sullivan, Jenna M.; Mulnix, Tim; Paulsen, Rasmus Reinhold; Højgaard, Liselotte; Roed, Bjarne; Carson, Richard E.; Morris, Evan D.; Larsen, Rasmus.

In: I E E E Transactions on Medical Imaging, Vol. 32, No. 2, 2013, p. 200-209.

Research output: Contribution to journalJournal article – Annual report year: 2013Researchpeer-review

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@article{715de61a3c71471389fa2c71316783ff,
title = "List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject",
abstract = "A custom designed markerless tracking system was demonstrated to be applicable for positron emission tomography (PET) brain imaging. Precise head motion registration is crucial for accurate motion correction (MC) in PET imaging. State-of-the-art tracking systems applied with PET brain imaging rely on markers attached to the patient's head. The marker attachment is the main weakness of these systems. A healthy volunteer participating in a cigarette smoking study to image dopamine release was scanned twice for 2 h with $^{11}{\rm C}$-racolopride on the high resolution research tomograph (HRRT) PET scanner. Head motion was independently measured, with a commercial marker-based device and the proposed vision-based system. A list-mode event-by-event reconstruction algorithm using the detected motion was applied. A phantom study with hand-controlled continuous random motion was obtained. Motion was time-varying with long drift motions of up to 18 mm and regular step-wise motion of 1–6 mm. The evaluated measures were significantly better for motion-corrected images compared to no MC. The demonstrated system agreed with a commercial integrated system. Motion-corrected images were improved in contrast recovery of small structures.",
keywords = "Motion correction, Motion tracking, Positron emission tomography (PET), Vision system",
author = "Olesen, {Oline Vinter} and Sullivan, {Jenna M.} and Tim Mulnix and Paulsen, {Rasmus Reinhold} and Liselotte H{\o}jgaard and Bjarne Roed and Carson, {Richard E.} and Morris, {Evan D.} and Rasmus Larsen",
year = "2013",
doi = "10.1109/TMI.2012.2219693",
language = "English",
volume = "32",
pages = "200--209",
journal = "I E E E Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers",
number = "2",

}

RIS

TY - JOUR

T1 - List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

AU - Olesen, Oline Vinter

AU - Sullivan, Jenna M.

AU - Mulnix, Tim

AU - Paulsen, Rasmus Reinhold

AU - Højgaard, Liselotte

AU - Roed, Bjarne

AU - Carson, Richard E.

AU - Morris, Evan D.

AU - Larsen, Rasmus

PY - 2013

Y1 - 2013

N2 - A custom designed markerless tracking system was demonstrated to be applicable for positron emission tomography (PET) brain imaging. Precise head motion registration is crucial for accurate motion correction (MC) in PET imaging. State-of-the-art tracking systems applied with PET brain imaging rely on markers attached to the patient's head. The marker attachment is the main weakness of these systems. A healthy volunteer participating in a cigarette smoking study to image dopamine release was scanned twice for 2 h with $^{11}{\rm C}$-racolopride on the high resolution research tomograph (HRRT) PET scanner. Head motion was independently measured, with a commercial marker-based device and the proposed vision-based system. A list-mode event-by-event reconstruction algorithm using the detected motion was applied. A phantom study with hand-controlled continuous random motion was obtained. Motion was time-varying with long drift motions of up to 18 mm and regular step-wise motion of 1–6 mm. The evaluated measures were significantly better for motion-corrected images compared to no MC. The demonstrated system agreed with a commercial integrated system. Motion-corrected images were improved in contrast recovery of small structures.

AB - A custom designed markerless tracking system was demonstrated to be applicable for positron emission tomography (PET) brain imaging. Precise head motion registration is crucial for accurate motion correction (MC) in PET imaging. State-of-the-art tracking systems applied with PET brain imaging rely on markers attached to the patient's head. The marker attachment is the main weakness of these systems. A healthy volunteer participating in a cigarette smoking study to image dopamine release was scanned twice for 2 h with $^{11}{\rm C}$-racolopride on the high resolution research tomograph (HRRT) PET scanner. Head motion was independently measured, with a commercial marker-based device and the proposed vision-based system. A list-mode event-by-event reconstruction algorithm using the detected motion was applied. A phantom study with hand-controlled continuous random motion was obtained. Motion was time-varying with long drift motions of up to 18 mm and regular step-wise motion of 1–6 mm. The evaluated measures were significantly better for motion-corrected images compared to no MC. The demonstrated system agreed with a commercial integrated system. Motion-corrected images were improved in contrast recovery of small structures.

KW - Motion correction

KW - Motion tracking

KW - Positron emission tomography (PET)

KW - Vision system

U2 - 10.1109/TMI.2012.2219693

DO - 10.1109/TMI.2012.2219693

M3 - Journal article

VL - 32

SP - 200

EP - 209

JO - I E E E Transactions on Medical Imaging

JF - I E E E Transactions on Medical Imaging

SN - 0278-0062

IS - 2

ER -