318 related articles for article (PubMed ID: 25981161)
1. Multi-atlas and label fusion approach for patient-specific MRI based skull estimation.
Torrado-Carvajal A; Herraiz JL; Hernandez-Tamames JA; San Jose-Estepar R; Eryaman Y; Rozenholc Y; Adalsteinsson E; Wald LL; Malpica N
Magn Reson Med; 2016 Apr; 75(4):1797-807. PubMed ID: 25981161
[TBL] [Abstract][Full Text] [Related]
2. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
[TBL] [Abstract][Full Text] [Related]
3. Whole-body bone segmentation from MRI for PET/MRI attenuation correction using shape-based averaging.
Arabi H; Zaidi H
Med Phys; 2016 Nov; 43(11):5848. PubMed ID: 27806602
[TBL] [Abstract][Full Text] [Related]
4. Label fusion in atlas-based segmentation using a selective and iterative method for performance level estimation (SIMPLE).
Langerak TR; van der Heide UA; Kotte AN; Viergever MA; van Vulpen M; Pluim JP
IEEE Trans Med Imaging; 2010 Dec; 29(12):2000-8. PubMed ID: 20667809
[TBL] [Abstract][Full Text] [Related]
5. Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion.
Huo Y; Asman AJ; Plassard AJ; Landman BA
Hum Brain Mapp; 2017 Feb; 38(2):599-616. PubMed ID: 27726243
[TBL] [Abstract][Full Text] [Related]
6. Fast Patch-Based Pseudo-CT Synthesis from T1-Weighted MR Images for PET/MR Attenuation Correction in Brain Studies.
Torrado-Carvajal A; Herraiz JL; Alcain E; Montemayor AS; Garcia-Cañamaque L; Hernandez-Tamames JA; Rozenholc Y; Malpica N
J Nucl Med; 2016 Jan; 57(1):136-43. PubMed ID: 26493204
[TBL] [Abstract][Full Text] [Related]
7. Comparison of atlas-based techniques for whole-body bone segmentation.
Arabi H; Zaidi H
Med Image Anal; 2017 Feb; 36():98-112. PubMed ID: 27871000
[TBL] [Abstract][Full Text] [Related]
8. A multi-atlas based method for automated anatomical rat brain MRI segmentation and extraction of PET activity.
Lancelot S; Roche R; Slimen A; Bouillot C; Levigoureux E; Langlois JB; Zimmer L; Costes N
PLoS One; 2014; 9(10):e109113. PubMed ID: 25330005
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of Atlas-Based Attenuation Correction for Integrated PET/MR in Human Brain: Application of a Head Atlas and Comparison to True CT-Based Attenuation Correction.
Sekine T; Buck A; Delso G; Ter Voert EE; Huellner M; Veit-Haibach P; Warnock G
J Nucl Med; 2016 Feb; 57(2):215-20. PubMed ID: 26493207
[TBL] [Abstract][Full Text] [Related]
10. Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
Nielsen JD; Madsen KH; Puonti O; Siebner HR; Bauer C; Madsen CG; Saturnino GB; Thielscher A
Neuroimage; 2018 Jul; 174():587-598. PubMed ID: 29518567
[TBL] [Abstract][Full Text] [Related]
11. MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods.
Hofmann M; Bezrukov I; Mantlik F; Aschoff P; Steinke F; Beyer T; Pichler BJ; Schölkopf B
J Nucl Med; 2011 Sep; 52(9):1392-9. PubMed ID: 21828115
[TBL] [Abstract][Full Text] [Related]
12. Vervet MRI atlas and label map for fully automated morphometric analyses.
Maldjian JA; Daunais JB; Friedman DP; Whitlow CT
Neuroinformatics; 2014 Oct; 12(4):543-50. PubMed ID: 24850577
[TBL] [Abstract][Full Text] [Related]
13. A multi-atlas based method for automated anatomical Macaca fascicularis brain MRI segmentation and PET kinetic extraction.
Ballanger B; Tremblay L; Sgambato-Faure V; Beaudoin-Gobert M; Lavenne F; Le Bars D; Costes N
Neuroimage; 2013 Aug; 77():26-43. PubMed ID: 23537938
[TBL] [Abstract][Full Text] [Related]
14. Discriminative confidence estimation for probabilistic multi-atlas label fusion.
Benkarim OM; Piella G; González Ballester MA; Sanroma G;
Med Image Anal; 2017 Dec; 42():274-287. PubMed ID: 28888171
[TBL] [Abstract][Full Text] [Related]
15. Automatic Segmentation of Bone Selective MR Images for Visualization and Craniometry of the Cranial Vault.
Zimmerman CE; Khandelwal P; Xie L; Lee H; Song HK; Yushkevich PA; Vossough A; Bartlett SP; Wehrli FW
Acad Radiol; 2022 Mar; 29 Suppl 3(Suppl 3):S98-S106. PubMed ID: 33903011
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Segmentation of skull and scalp in 3-D human MRI using mathematical morphology.
Dogdas B; Shattuck DW; Leahy RM
Hum Brain Mapp; 2005 Dec; 26(4):273-85. PubMed ID: 15966000
[TBL] [Abstract][Full Text] [Related]
18. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region.
Arabi H; Dowling JA; Burgos N; Han X; Greer PB; Koutsouvelis N; Zaidi H
Med Phys; 2018 Nov; 45(11):5218-5233. PubMed ID: 30216462
[TBL] [Abstract][Full Text] [Related]
19. Probabilistic Air Segmentation and Sparse Regression Estimated Pseudo CT for PET/MR Attenuation Correction.
Chen Y; Juttukonda M; Su Y; Benzinger T; Rubin BG; Lee YZ; Lin W; Shen D; Lalush D; An H
Radiology; 2015 May; 275(2):562-9. PubMed ID: 25521778
[TBL] [Abstract][Full Text] [Related]
20. Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
Wu G; Kim M; Sanroma G; Wang Q; Munsell BC; Shen D;
Neuroimage; 2015 Feb; 106():34-46. PubMed ID: 25463474
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]