131 related articles for article (PubMed ID: 38107622)
1. Supervised Deep Learning for Head Motion Correction in PET.
Zeng T; Zhang J; Revilla E; Lieffrig EV; Fang X; Lu Y; Onofrey JA
Med Image Comput Comput Assist Interv; 2022 Sep; 13434():194-203. PubMed ID: 38107622
[TBL] [Abstract][Full Text] [Related]
2. MULTI-TASK DEEP LEARNING AND UNCERTAINTY ESTIMATION FOR PET HEAD MOTION CORRECTION.
Lieffrig EV; Zeng T; Zhang J; Fontaine K; Fang X; Revilla E; Lu Y; Onofrey JA
Proc IEEE Int Symp Biomed Imaging; 2023 Apr; 2023():. PubMed ID: 38111738
[TBL] [Abstract][Full Text] [Related]
3. Fast Reconstruction for Deep Learning PET Head Motion Correction.
Zeng T; Zhang J; Lieffrig EV; Cai Z; Chen F; You C; Naganawa M; Lu Y; Onofrey JA
Med Image Comput Comput Assist Interv; 2023 Oct; 14229():710-719. PubMed ID: 38174207
[TBL] [Abstract][Full Text] [Related]
4. Cross-Attention for Improved Motion Correction in Brain PET.
Cai Z; Zeng T; Lieffrig EV; Zhang J; Chen F; Toyonaga T; You C; Xin J; Zheng N; Lu Y; Duncan JS; Onofrey JA
Mach Learn Clin Neuroimaging (2023); 2023 Oct; 14312():34-45. PubMed ID: 38174216
[TBL] [Abstract][Full Text] [Related]
5. Markerless head motion tracking and event-by-event correction in brain PET.
Zeng T; Lu Y; Jiang W; Zheng J; Zhang J; Gravel P; Wan Q; Fontaine K; Mulnix T; Jiang Y; Yang Z; Revilla EM; Naganawa M; Toyonaga T; Henry S; Zhang X; Cao T; Hu L; Carson RE
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37983915
[No Abstract] [Full Text] [Related]
6. Data-Driven Motion Detection and Event-by-Event Correction for Brain PET: Comparison with Vicra.
Lu Y; Naganawa M; Toyonaga T; Gallezot JD; Fontaine K; Ren S; Revilla EM; Mulnix T; Carson RE
J Nucl Med; 2020 Sep; 61(9):1397-1403. PubMed ID: 32005770
[TBL] [Abstract][Full Text] [Related]
7. Adaptive data-driven motion detection and optimized correction for brain PET.
Revilla EM; Gallezot JD; Naganawa M; Toyonaga T; Fontaine K; Mulnix T; Onofrey JA; Carson RE; Lu Y
Neuroimage; 2022 May; 252():119031. PubMed ID: 35257856
[TBL] [Abstract][Full Text] [Related]
8. Data-driven head motion correction for PET using time-of-flight and positron emission particle tracking techniques.
Tumpa TR; Acuff SN; Gregor J; Bradley Y; Fu Y; Osborne DR
PLoS One; 2022; 17(8):e0272768. PubMed ID: 36044530
[TBL] [Abstract][Full Text] [Related]
9. A data-driven respiratory motion estimation approach for PET based on time-of-flight weighted positron emission particle tracking.
Tumpa TR; Acuff SN; Gregor J; Lee S; Hu D; Osborne DR
Med Phys; 2021 Mar; 48(3):1131-1143. PubMed ID: 33226647
[TBL] [Abstract][Full Text] [Related]
10. An objective evaluation method for head motion estimation in PET-Motion corrected centroid-of-distribution.
Sun C; Revilla EM; Zhang J; Fontaine K; Toyonaga T; Gallezot JD; Mulnix T; Onofrey JA; Carson RE; Lu Y
Neuroimage; 2022 Dec; 264():119678. PubMed ID: 36261057
[TBL] [Abstract][Full Text] [Related]
11. A systematic performance evaluation of head motion correction techniques forĀ 3 commercial PET scanners using a reproducible experimental acquisition protocol.
Inomata T; Watanuki S; Odagiri H; Nambu T; Karakatsanis NA; Ito H; Watabe H; Tashiro M; Shidahara M
Ann Nucl Med; 2019 Jul; 33(7):459-470. PubMed ID: 30924048
[TBL] [Abstract][Full Text] [Related]
12. Deep-JASC: joint attenuation and scatter correction in whole-body
Shiri I; Arabi H; Geramifar P; Hajianfar G; Ghafarian P; Rahmim A; Ay MR; Zaidi H
Eur J Nucl Med Mol Imaging; 2020 Oct; 47(11):2533-2548. PubMed ID: 32415552
[TBL] [Abstract][Full Text] [Related]
13. Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.
Arabi H; Zaidi H
Med Image Anal; 2020 Aug; 64():101718. PubMed ID: 32492585
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction.
Hossbach J; Splitthoff DN; Cauley S; Clifford B; Polak D; Lo WC; Meyer H; Maier A
Med Phys; 2023 Apr; 50(4):2148-2161. PubMed ID: 36433748
[TBL] [Abstract][Full Text] [Related]
15. Data-driven respiratory phase-matched PET attenuation correction without CT.
Hwang D; Kang SK; Kim KY; Choi H; Seo S; Lee JS
Phys Med Biol; 2021 May; 66(11):. PubMed ID: 33910170
[TBL] [Abstract][Full Text] [Related]
16. A novel supervised learning method to generate CT images for attenuation correction in delayed pet scans.
Rao F; Yang B; Chen YW; Li J; Wang H; Ye H; Wang Y; Zhao K; Zhu W
Comput Methods Programs Biomed; 2020 Dec; 197():105764. PubMed ID: 33010702
[TBL] [Abstract][Full Text] [Related]
17. Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging.
Dong X; Lei Y; Wang T; Higgins K; Liu T; Curran WJ; Mao H; Nye JA; Yang X
Phys Med Biol; 2020 Mar; 65(5):055011. PubMed ID: 31869826
[TBL] [Abstract][Full Text] [Related]
18. MR-based motion correction for PET imaging using wired active MR microcoils in simultaneous PET-MR: phantom study.
Huang C; Ackerman JL; Petibon Y; Brady TJ; El Fakhri G; Ouyang J
Med Phys; 2014 Apr; 41(4):041910. PubMed ID: 24694141
[TBL] [Abstract][Full Text] [Related]
19. Correction of head movement by frame-to-frame image realignment for receptor imaging in positron emission tomography studies with [
Ikoma Y; Kimura Y; Yamada M; Obata T; Ito H; Suhara T
Ann Nucl Med; 2019 Dec; 33(12):916-929. PubMed ID: 31602596
[TBL] [Abstract][Full Text] [Related]
20. Improved frame-based estimation of head motion in PET brain imaging.
Mukherjee JM; Lindsay C; Mukherjee A; Olivier P; Shao L; King MA; Licho R
Med Phys; 2016 May; 43(5):2443. PubMed ID: 27147355
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]