169 related articles for article (PubMed ID: 33227717)
1. A multivariable study of deformable image registration evaluation metrics in 4DCT of thoracic cancer patients.
Juan-Cruz C; Fast MF; Sonke JJ
Phys Med Biol; 2021 Jan; 66(3):035019. PubMed ID: 33227717
[TBL] [Abstract][Full Text] [Related]
2. The distance discordance metric-a novel approach to quantifying spatial uncertainties in intra- and inter-patient deformable image registration.
Saleh ZH; Apte AP; Sharp GC; Shusharina NP; Wang Y; Veeraraghavan H; Thor M; Muren LP; Rao SS; Lee NY; Deasy JO
Phys Med Biol; 2014 Feb; 59(3):733-46. PubMed ID: 24440838
[TBL] [Abstract][Full Text] [Related]
3. Geometric and dosimetric accuracy of deformable image registration between average-intensity images for 4DCT-based adaptive radiotherapy for non-small cell lung cancer.
He Y; Cazoulat G; Wu C; Peterson C; McCulloch M; Anderson B; Pollard-Larkin J; Balter P; Liao Z; Mohan R; Brock K
J Appl Clin Med Phys; 2021 Aug; 22(8):156-167. PubMed ID: 34310827
[TBL] [Abstract][Full Text] [Related]
4. Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images.
Sen A; Anderson BM; Cazoulat G; McCulloch MM; Elganainy D; McDonald BA; He Y; Mohamed ASR; Elgohari BA; Zaid M; Koay EJ; Brock KK
Med Phys; 2020 Apr; 47(4):1670-1679. PubMed ID: 31958147
[TBL] [Abstract][Full Text] [Related]
5. A multiple-image-based method to evaluate the performance of deformable image registration in the pelvis.
Saleh Z; Thor M; Apte AP; Sharp G; Tang X; Veeraraghavan H; Muren L; Deasy J
Phys Med Biol; 2016 Aug; 61(16):6172-80. PubMed ID: 27469495
[TBL] [Abstract][Full Text] [Related]
6. The need for application-based adaptation of deformable image registration.
Kirby N; Chuang C; Ueda U; Pouliot J
Med Phys; 2013 Jan; 40(1):011702. PubMed ID: 23298072
[TBL] [Abstract][Full Text] [Related]
7. The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation.
Qin A; Ionascu D; Liang J; Han X; O'Connell N; Yan D
Radiat Oncol; 2018 Dec; 13(1):240. PubMed ID: 30514348
[TBL] [Abstract][Full Text] [Related]
8. Representing the dosimetric impact of deformable image registration errors.
Vickress J; Battista J; Barnett R; Yartsev S
Phys Med Biol; 2017 Aug; 62(17):N391-N403. PubMed ID: 28800299
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of deformation parameters for deformable image registration-based ventilation imaging using an air-ventilating non-rigid phantom.
Miyakawa S; Tachibana H; Moriya S; Kurosawa T; Nishio T
Phys Med; 2018 Jun; 50():20-25. PubMed ID: 29891090
[TBL] [Abstract][Full Text] [Related]
10. Performance of 12 DIR algorithms in low-contrast regions for mass and density conserving deformation.
Yeo UJ; Supple JR; Taylor ML; Smith R; Kron T; Franich RD
Med Phys; 2013 Oct; 40(10):101701. PubMed ID: 24089891
[TBL] [Abstract][Full Text] [Related]
11. Quadratic penalty method for intensity-based deformable image registration and 4DCT lung motion recovery.
Castillo E
Med Phys; 2019 May; 46(5):2194-2203. PubMed ID: 30801729
[TBL] [Abstract][Full Text] [Related]
12. An automated, quantitative, and case-specific evaluation of deformable image registration in computed tomography images.
Kierkels RGJ; den Otter LA; Korevaar EW; Langendijk JA; van der Schaaf A; Knopf AC; Sijtsema NM
Phys Med Biol; 2018 Feb; 63(4):045026. PubMed ID: 29182154
[TBL] [Abstract][Full Text] [Related]
13. Deformable lung 4DCT image registration via landmark-driven cycle network.
Matkovic L; Lei Y; Fu Y; Wang T; Kesarwala AH; Axente M; Roper J; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2024 Mar; 51(3):1974-1984. PubMed ID: 37708440
[TBL] [Abstract][Full Text] [Related]
14. Development of a dynamic deformable thorax phantom for the quality management of deformable image registration.
Sugawara Y; Kadoya N; Kotabe K; Nakajima Y; Ikeda R; Tanabe S; Ohashi H; Jingu K
Phys Med; 2020 Sep; 77():100-107. PubMed ID: 32823209
[TBL] [Abstract][Full Text] [Related]
15. A hybrid biomechanical intensity based deformable image registration of lung 4DCT.
Samavati N; Velec M; Brock K
Phys Med Biol; 2015 Apr; 60(8):3359-73. PubMed ID: 25830808
[TBL] [Abstract][Full Text] [Related]
16. A neural network approach for fast, automated quantification of DIR performance.
Neylon J; Min Y; Low DA; Santhanam A
Med Phys; 2017 Aug; 44(8):4126-4138. PubMed ID: 28477340
[TBL] [Abstract][Full Text] [Related]
17. The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging.
Kipritidis J; Tahir BA; Cazoulat G; Hofman MS; Siva S; Callahan J; Hardcastle N; Yamamoto T; Christensen GE; Reinhardt JM; Kadoya N; Patton TJ; Gerard SE; Duarte I; Archibald-Heeren B; Byrne M; Sims R; Ramsay S; Booth JT; Eslick E; Hegi-Johnson F; Woodruff HC; Ireland RH; Wild JM; Cai J; Bayouth JE; Brock K; Keall PJ
Med Phys; 2019 Mar; 46(3):1198-1217. PubMed ID: 30575051
[TBL] [Abstract][Full Text] [Related]
18. Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy.
Cazoulat G; Anderson BM; McCulloch MM; Rigaud B; Koay EJ; Brock KK
Med Phys; 2021 Oct; 48(10):5935-5946. PubMed ID: 34390007
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of the effect of user-guided deformable image registration of thoracic images on registration accuracy among users.
Nakajima Y; Kadoya N; Kanai T; Saito M; Kito S; Hashimoto S; Karasawa K; Jingu K
Med Dosim; 2020 Autumn; 45(3):206-212. PubMed ID: 32014379
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of the accuracy of deformable image registration on MRI with a physical phantom.
Wu RY; Liu AY; Yang J; Williamson TD; Wisdom PG; Bronk L; Gao S; Grosshan DR; Fuller DC; Gunn GB; Ronald Zhu X; Frank SJ
J Appl Clin Med Phys; 2020 Jan; 21(1):166-173. PubMed ID: 31808307
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]