Fast Reconstruction for Deep Learning PET Head Motion Correction

Author:

Zeng Tianyi,Zhang Jiazhen,Lieffrig Eléonore V.,Cai Zhuotong,Chen Fuyao,You Chenyu,Naganawa Mika,Lu Yihuan,Onofrey John A.

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Carson, R.E., Barker, W.C., Liow, J.S., Johnson, C.A.: Design of a motion-compensation OSEM list-mode algorithm for resolution-recovery reconstruction for the HRRT. In: 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No. 03CH37515), vol. 5, pp. 3281–3285. IEEE (2003)

2. Fischl, B.: Freesurfer. Neuroimage 62(2), 774–781 (2012)

3. Hoffman, J.M., et al.: FDG PET imaging in patients with pathologically verified dementia. J. Nucl. Med. 41(11), 1920–1928 (2000)

4. Iwao, Y., Akamatsu, G., Tashima, H., Takahashi, M., Yamaya, T.: Marker-less and calibration-less motion correction method for brain pet. Radiol. Phys. Technol. 15(2), 125–134 (2022)

5. Jin, X., et al.: List-mode reconstruction for the biograph MCT with physics modeling and event-by-event motion correction. Phys. Med. Biol. 58(16), 5567 (2013)

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