These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
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]
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]