TY - GEN
T1 - Preliminary Investigation of Short-Baseline Stereo Cameras for Motion Detection and Alignment of Pre-existing Attenuation Maps for AdaptiSPECT-C
AU - Kalluri, Kesava S.
AU - Lindsay, Clifford
AU - Furenlid, Lars R.
AU - King, Michael A.
N1 - Funding Information:
Research reported in this publication was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under Award Number R01 EB022521. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - AdaptiSPECT-C, a multi-pinhole, multi-detector, and stationary brain SPECT imaging system is being developed by the University of Massachusetts Medical School and the University of Arizona. During AdaptiSPECT-C acquisitions, the patient's head will be positioned entirely inside a hemi-spherical collimator assembly. A popular method to mitigate head motion during the protracted acquisitions is to use external cameras for tracking the motion of the head throughout the acquisition. This motion estimate is then used during SPECT reconstruction to compensate for the motion. Unfortunately, the close proximity of the bore to the patient will occlude the motion tracking camera's view of the patient from outside the bore, thereby posing a significant challenge to using such methods. Therefore, we propose to use small-baseline stereo depth-sensing cameras placed inside the AdaptiSPECT-C bore, to track patient's head motion. In this study, using an imaging phantom, we measure the manually generated phantom motion at a distance of about 15 cm from small baseline stereo depth sensing cameras. The motion is measured simultaneously with Optitrack motion tracking system, a commercially available marker based motion tracking system to provide a reference ground truth. Finally, we showed that at close range, we can utilize the 3D surface estimates generated by the small baseline stereo depth sensing cameras, for aligning a preexisting CT to the patient's SPECT acquisition in order to provide attenuation correction during SPECT reconstruction. Future work will include reconstruction simulations that incorporate motion correction based on actual motion data from the tested cameras as well as providing CT alignment for CT-based attenuation correction.
AB - AdaptiSPECT-C, a multi-pinhole, multi-detector, and stationary brain SPECT imaging system is being developed by the University of Massachusetts Medical School and the University of Arizona. During AdaptiSPECT-C acquisitions, the patient's head will be positioned entirely inside a hemi-spherical collimator assembly. A popular method to mitigate head motion during the protracted acquisitions is to use external cameras for tracking the motion of the head throughout the acquisition. This motion estimate is then used during SPECT reconstruction to compensate for the motion. Unfortunately, the close proximity of the bore to the patient will occlude the motion tracking camera's view of the patient from outside the bore, thereby posing a significant challenge to using such methods. Therefore, we propose to use small-baseline stereo depth-sensing cameras placed inside the AdaptiSPECT-C bore, to track patient's head motion. In this study, using an imaging phantom, we measure the manually generated phantom motion at a distance of about 15 cm from small baseline stereo depth sensing cameras. The motion is measured simultaneously with Optitrack motion tracking system, a commercially available marker based motion tracking system to provide a reference ground truth. Finally, we showed that at close range, we can utilize the 3D surface estimates generated by the small baseline stereo depth sensing cameras, for aligning a preexisting CT to the patient's SPECT acquisition in order to provide attenuation correction during SPECT reconstruction. Future work will include reconstruction simulations that incorporate motion correction based on actual motion data from the tested cameras as well as providing CT alignment for CT-based attenuation correction.
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U2 - 10.1109/NSSMIC.2018.8824347
DO - 10.1109/NSSMIC.2018.8824347
M3 - Conference contribution
AN - SCOPUS:85073106183
T3 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
BT - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018
Y2 - 10 November 2018 through 17 November 2018
ER -