Literature DB >> 21859614

Motion tracking for medical imaging: a nonvisible structured light tracking approach.

Oline Vinter Olesen1, Rasmus R Paulsen, Liselotte Højgaard, Bjarne Roed, Rasmus Larsen.   

Abstract

We present a system for head motion tracking in 3D brain imaging. The system is based on facial surface reconstruction and tracking using a structured light (SL) scanning principle. The system is designed to fit into narrow 3D medical scanner geometries limiting the field of view. It is tested in a clinical setting on the high resolution research tomograph (HRRT), Siemens PET scanner with a head phantom and volunteers. The SL system is compared to a commercial optical tracking system, the Polaris Vicra system, from NDI based on translatory and rotary ground truth motions of the head phantom. The accuracy of the systems was similar, with root mean square (rms) errors of 0.09 degrees for ±20 degrees axial rotations, and rms errors of 0.24 mm for ± 25 mm translations. Tests were made using (1) a light emitting diode (LED) based miniaturized video projector, the Pico projector from Texas Instruments, and (2) a customized version of this projector replacing a visible light LED with a 850 nm near infrared LED. The latter system does not provide additional discomfort by visible light projection into the patient's eyes. The main advantage over existing head motion tracking devices, including the Polaris Vicra system, is that it is not necessary to place markers on the patient. This provides a simpler workflow and eliminates uncertainties related to marker attachment and stability. We show proof of concept of a marker less tracking system especially designed for clinical use with promising results.

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Year:  2011        PMID: 21859614     DOI: 10.1109/TMI.2011.2165157

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  16 in total

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Authors:  Jason P Lerch; André J W van der Kouwe; Armin Raznahan; Tomáš Paus; Heidi Johansen-Berg; Karla L Miller; Stephen M Smith; Bruce Fischl; Stamatios N Sotiropoulos
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

2.  PET/MR in oncology: an introduction with focus on MR and future perspectives for hybrid imaging.

Authors:  Svetlana Balyasnikova; Johan Löfgren; Robin de Nijs; Yanna Zamogilnaya; Liselotte Højgaard; Barbara M Fischer
Journal:  Am J Nucl Med Mol Imaging       Date:  2012-10-15

3.  Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features.

Authors:  Jue Jiang; Yoshikazu Nakajima; Yoshio Sohma; Toki Saito; Taichi Kin; Horoshi Oyama; Nobuhito Saito
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-05       Impact factor: 2.924

4.  Optical tracking with two markers for robust prospective motion correction for brain imaging.

Authors:  Aditya Singh; Benjamin Zahneisen; Brian Keating; Michael Herbst; Linda Chang; Maxim Zaitsev; Thomas Ernst
Journal:  MAGMA       Date:  2015-06-30       Impact factor: 2.310

5.  Markerless high-frequency prospective motion correction for neuroanatomical MRI.

Authors:  Robert Frost; Paul Wighton; F Işık Karahanoğlu; Richard L Robertson; P Ellen Grant; Bruce Fischl; M Dylan Tisdall; André van der Kouwe
Journal:  Magn Reson Med       Date:  2019-02-28       Impact factor: 4.668

6.  Dependence of columella development on the technique used for primary cleft lip closure.

Authors:  Vedat Yildirim; Julia Kaiser; Alexander Hemprich; Karsten Winter; Niels Christian Pausch
Journal:  Oral Maxillofac Surg       Date:  2014-10-30

7.  Comparison of prospective and retrospective motion correction in 3D-encoded neuroanatomical MRI.

Authors:  Jakob M Slipsager; Stefan L Glimberg; Liselotte Højgaard; Rasmus R Paulsen; Paul Wighton; M Dylan Tisdall; Camilo Jaimes; Borjan A Gagoski; P Ellen Grant; André van der Kouwe; Oline V Olesen; Robert Frost
Journal:  Magn Reson Med       Date:  2021-09-07       Impact factor: 4.668

8.  Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging.

Authors:  Martin Lyngby Lassen; Jacek Kwiecinski; Sebastien Cadet; Damini Dey; Chengjia Wang; Marc R Dweck; Daniel S Berman; Guido Germano; David E Newby; Piotr J Slomka
Journal:  J Nucl Med       Date:  2018-11-15       Impact factor: 10.057

9.  Motion correction methods for MRS: experts' consensus recommendations.

Authors:  Ovidiu C Andronesi; Pallab K Bhattacharyya; Wolfgang Bogner; In-Young Choi; Aaron T Hess; Phil Lee; Ernesta M Meintjes; M Dylan Tisdall; Maxim Zaitzev; André van der Kouwe
Journal:  NMR Biomed       Date:  2020-07-20       Impact factor: 4.044

10.  MR-based PET motion correction procedure for simultaneous MR-PET neuroimaging of human brain.

Authors:  Marcus Görge Ullisch; Jürgen Johann Scheins; Christoph Weirich; Elena Rota Kops; Abdullah Celik; Lutz Tellmann; Tony Stöcker; Hans Herzog; Nadim Jon Shah
Journal:  PLoS One       Date:  2012-11-12       Impact factor: 3.240

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