505 related articles for article (PubMed ID: 24320543)
1. Inter-slice bidirectional registration-based segmentation of the prostate gland in MR and CT image sequences.
Khalvati F; Salmanpour A; Rahnamayan S; Rodrigues G; Tizhoosh HR
Med Phys; 2013 Dec; 40(12):123503. PubMed ID: 24320543
[TBL] [Abstract][Full Text] [Related]
2. Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.
Khalvati F; Salmanpour A; Rahnamayan S; Haider MA; Tizhoosh HR
J Digit Imaging; 2016 Apr; 29(2):254-63. PubMed ID: 26546179
[TBL] [Abstract][Full Text] [Related]
3. Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.
Shahedi M; Cool DW; Romagnoli C; Bauman GS; Bastian-Jordan M; Gibson E; Rodrigues G; Ahmad B; Lock M; Fenster A; Ward AD
Med Phys; 2014 Nov; 41(11):113503. PubMed ID: 25370674
[TBL] [Abstract][Full Text] [Related]
4. Narrow band deformable registration of prostate magnetic resonance imaging, magnetic resonance spectroscopic imaging, and computed tomography studies.
Schreibmann E; Xing L
Int J Radiat Oncol Biol Phys; 2005 Jun; 62(2):595-605. PubMed ID: 15890605
[TBL] [Abstract][Full Text] [Related]
5. A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling.
Shahedi M; Halicek M; Guo R; Zhang G; Schuster DM; Fei B
Med Phys; 2018 Jun; 45(6):2527-2541. PubMed ID: 29611216
[TBL] [Abstract][Full Text] [Related]
6. Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images.
Singh D; Kumar V; Das CJ; Singh A; Mehndiratta A
Comput Methods Programs Biomed; 2020 Nov; 196():105572. PubMed ID: 32544780
[TBL] [Abstract][Full Text] [Related]
7. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
Chen T; Kim S; Goyal S; Jabbour S; Zhou J; Rajagopal G; Haffty B; Yue N
Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
[TBL] [Abstract][Full Text] [Related]
8. Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
Shahedi M; Cool DW; Bauman GS; Bastian-Jordan M; Fenster A; Ward AD
J Digit Imaging; 2017 Dec; 30(6):782-795. PubMed ID: 28342043
[TBL] [Abstract][Full Text] [Related]
9. Towards integrating functional imaging in the treatment of prostate cancer with radiation: the registration of the MR spectroscopy imaging to ultrasound/CT images and its implementation in treatment planning.
Mizowaki T; Cohen GN; Fung AY; Zaider M
Int J Radiat Oncol Biol Phys; 2002 Dec; 54(5):1558-64. PubMed ID: 12459385
[TBL] [Abstract][Full Text] [Related]
10. Prostate segmentation: an efficient convex optimization approach with axial symmetry using 3-D TRUS and MR images.
Qiu W; Yuan J; Ukwatta E; Sun Y; Rajchl M; Fenster A
IEEE Trans Med Imaging; 2014 Apr; 33(4):947-60. PubMed ID: 24710163
[TBL] [Abstract][Full Text] [Related]
11. Use and uncertainties of mutual information for computed tomography/ magnetic resonance (CT/MR) registration post permanent implant of the prostate.
Roberson PL; McLaughlin PW; Narayana V; Troyer S; Hixson GV; Kessler ML
Med Phys; 2005 Feb; 32(2):473-82. PubMed ID: 15789594
[TBL] [Abstract][Full Text] [Related]
12. Accurate CT∕MR vessel-guided nonrigid registration of largely deformed livers.
Vasquez Osorio EM; Hoogeman MS; Mendez Romero A; Wielopolski P; Zolnay A; Heijmen BJ
Med Phys; 2012 May; 39(5):2463-77. PubMed ID: 22559617
[TBL] [Abstract][Full Text] [Related]
13. Non-rigid MR-TRUS image registration for image-guided prostate biopsy using correlation ratio-based mutual information.
Gong L; Wang H; Peng C; Dai Y; Ding M; Sun Y; Yang X; Zheng J
Biomed Eng Online; 2017 Jan; 16(1):8. PubMed ID: 28086888
[TBL] [Abstract][Full Text] [Related]
14. Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-Nets.
Zabihollahy F; Schieda N; Krishna Jeyaraj S; Ukwatta E
Med Phys; 2019 Jul; 46(7):3078-3090. PubMed ID: 31002381
[TBL] [Abstract][Full Text] [Related]
15. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration.
Thörnqvist S; Petersen JB; Høyer M; Bentzen LN; Muren LP
Acta Oncol; 2010 Oct; 49(7):1023-32. PubMed ID: 20831491
[TBL] [Abstract][Full Text] [Related]
16. Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model.
Martin S; Troccaz J; Daanenc V
Med Phys; 2010 Apr; 37(4):1579-90. PubMed ID: 20443479
[TBL] [Abstract][Full Text] [Related]
17. Dual optimization based prostate zonal segmentation in 3D MR images.
Qiu W; Yuan J; Ukwatta E; Sun Y; Rajchl M; Fenster A
Med Image Anal; 2014 May; 18(4):660-73. PubMed ID: 24721776
[TBL] [Abstract][Full Text] [Related]
18. Low-complexity atlas-based prostate segmentation by combining global, regional, and local metrics.
Xie Q; Ruan D
Med Phys; 2014 Apr; 41(4):041909. PubMed ID: 24694140
[TBL] [Abstract][Full Text] [Related]
19. New method to assess the registration of CT-MR images of the head.
Pappas IP; Puja M; Styner M; Liu J; Caversaccio M
Injury; 2004 Jun; 35 Suppl 1():S-A105-12. PubMed ID: 15183711
[TBL] [Abstract][Full Text] [Related]
20. Graphics Processing Unit-Accelerated Nonrigid Registration of MR Images to CT Images During CT-Guided Percutaneous Liver Tumor Ablations.
Tokuda J; Plishker W; Torabi M; Olubiyi OI; Zaki G; Tatli S; Silverman SG; Shekher R; Hata N
Acad Radiol; 2015 Jun; 22(6):722-33. PubMed ID: 25784325
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
