511 related articles for article (PubMed ID: 36921463)
1. Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration.
Luu MH; Mai HS; Pham XL; Le QA; Le QK; Walsum TV; Le NH; Franklin D; Le VH; Moelker A; Chu DT; Trung NL
Comput Methods Programs Biomed; 2023 May; 233():107453. PubMed ID: 36921463
[TBL] [Abstract][Full Text] [Related]
2. Automated segmentation of lung, liver, and liver tumors from Tc-99m MAA SPECT/CT images for Y-90 radioembolization using convolutional neural networks.
Chaichana A; Frey EC; Teyateeti A; Rhoongsittichai K; Tocharoenchai C; Pusuwan P; Jangpatarapongsa K
Med Phys; 2021 Dec; 48(12):7877-7890. PubMed ID: 34657293
[TBL] [Abstract][Full Text] [Related]
3. A Prospective Study of Quantitative SPECT/CT for Evaluation of Lung Shunt Fraction Before SIRT of Liver Tumors.
Dittmann H; Kopp D; Kupferschlaeger J; Feil D; Groezinger G; Syha R; Weissinger M; la Fougère C
J Nucl Med; 2018 Sep; 59(9):1366-1372. PubMed ID: 29371406
[TBL] [Abstract][Full Text] [Related]
4. Fast and accurate quantitative determination of the lung shunt fraction in hepatic radioembolization.
Bastiaannet R; van der Velden S; Lam MGEH; Viergever MA; de Jong HWAM
Phys Med Biol; 2019 Nov; 64(23):235002. PubMed ID: 31618717
[TBL] [Abstract][Full Text] [Related]
5. Lung shunt fraction calculation using
Georgiou MF; Kuker RA; Studenski MT; Ahlman PP; Witte M; Portelance L
EJNMMI Res; 2021 Sep; 11(1):96. PubMed ID: 34585259
[TBL] [Abstract][Full Text] [Related]
6. SPECT and CT misregistration reduction in [
Lu Z; Chen G; Jiang H; Sun J; Lin KH; Mok GSP
Eur J Nucl Med Mol Imaging; 2023 Jul; 50(8):2319-2330. PubMed ID: 36877236
[TBL] [Abstract][Full Text] [Related]
7. Calculation of lung mean dose and quantification of error for
Lopez B; Mahvash A; Lam MGEH; Kappadath SC
Med Phys; 2019 Sep; 46(9):3929-3940. PubMed ID: 31063600
[TBL] [Abstract][Full Text] [Related]
8. Radioembolization lung shunt estimation based on a
Kunnen B; van der Velden S; Bastiaannet R; Lam MGEH; Viergever MA; de Jong HWAM
Med Phys; 2018 Oct; 45(10):4744-4753. PubMed ID: 30179259
[TBL] [Abstract][Full Text] [Related]
9. Clinical and Dosimetric Implications of Calculating Lung Shunt Fraction for Hepatic
Struycken L; Patel M; Kuo P; Hennemeyer C; Woodhead G; McGregor H
AJR Am J Roentgenol; 2022 Apr; 218(4):728-737. PubMed ID: 34704460
[No Abstract] [Full Text] [Related]
10. Comparison of Tc-99m MAA Planar Versus SPECT/CT Imaging for Lung Shunt Fraction Evaluation Prior to Y-90 Radioembolization: Are We Overestimating Lung Shunt Fraction?
Elsayed M; Cheng B; Xing M; Sethi I; Brandon D; Schuster DM; Bercu Z; Galt J; Barron B; Kokabi N
Cardiovasc Intervent Radiol; 2021 Feb; 44(2):254-260. PubMed ID: 33000319
[TBL] [Abstract][Full Text] [Related]
11. The value of
Allred JD; Niedbala J; Mikell JK; Owen D; Frey KA; Dewaraja YK
EJNMMI Res; 2018 Jun; 8(1):50. PubMed ID: 29904808
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of different CT maps for attenuation correction and segmentation in static
Lu Z; Chen G; Lin KH; Wu TH; Mok GSP
Med Phys; 2021 Jul; 48(7):3842-3851. PubMed ID: 34013551
[TBL] [Abstract][Full Text] [Related]
13. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
[TBL] [Abstract][Full Text] [Related]
14. Comparison of perfused volume segmentation between cone-beam CT and
Martin M; Hocquelet A; Debordeaux F; Bordenave L; Blanc JF; Papadopoulos P; Lapuyade B; Trillaud H; Pinaquy JB
Diagn Interv Imaging; 2021 Jan; 102(1):45-52. PubMed ID: 33032960
[TBL] [Abstract][Full Text] [Related]
15. Feasibility of imaging
Kunnen B; Dietze MMA; Braat AJAT; Lam MGEH; Viergever MA; de Jong HWAM
Med Phys; 2020 Mar; 47(3):1105-1114. PubMed ID: 31855282
[TBL] [Abstract][Full Text] [Related]
16. 3D image-based dosimetry for Yttrium-90 radioembolization of hepatocellular carcinoma: Impact of imaging method on absorbed dose estimates.
Brosch J; Gosewisch A; Kaiser L; Seidensticker M; Ricke J; Zellmer J; Bartenstein P; Ziegler S; Ilhan H; Todica A; Böning G
Phys Med; 2020 Dec; 80():317-326. PubMed ID: 33248338
[TBL] [Abstract][Full Text] [Related]
17. Factors modulating
Lopez BP; Mahvash A; Long JP; Lam MGEH; Kappadath SC
J Appl Clin Med Phys; 2022 Dec; 23(12):e13734. PubMed ID: 35906892
[TBL] [Abstract][Full Text] [Related]
18. Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization.
Jafargholi Rangraz E; Coudyzer W; Maleux G; Baete K; Deroose CM; Nuyts J
EJNMMI Res; 2019 Feb; 9(1):19. PubMed ID: 30788640
[TBL] [Abstract][Full Text] [Related]
19. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
Bruns S; Wolterink JM; Takx RAP; van Hamersvelt RW; Suchá D; Viergever MA; Leiner T; Išgum I
Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
[TBL] [Abstract][Full Text] [Related]
20. A simple method for estimating dose delivered to hepatocellular carcinoma after yttrium-90 glass-based radioembolization therapy: preliminary results of a proof of concept study.
Kokabi N; Galt JR; Xing M; Camacho JC; Barron BJ; Schuster DM; Kim HS
J Vasc Interv Radiol; 2014 Feb; 25(2):277-87. PubMed ID: 24461133
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]