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Items: 1 to 20 of 69

1.

Registration of whole-mount histology and volumetric imaging of the prostate using particle filtering.

Nir G, Sahebjavaher RS, Kozlowski P, Chang SD, Jones EC, Goldenberg SL, Salcudean SE.

IEEE Trans Med Imaging. 2014 Aug;33(8):1601-13. doi: 10.1109/TMI.2014.2319231. Epub 2014 Apr 22.

PMID:
24771576
2.

Development of a registration framework to validate MRI with histology for prostate focal therapy.

Reynolds HM, Williams S, Zhang A, Chakravorty R, Rawlinson D, Ong CS, Esteva M, Mitchell C, Parameswaran B, Finnegan M, Liney G, Haworth A.

Med Phys. 2015 Dec;42(12):7078-89. doi: 10.1118/1.4935343.

PMID:
26632061
3.

Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration.

Guzman L, Commandeur F, Acosta O, Simon A, Fautrel A, Rioux-Leclercq N, Romero E, Mathieu R, de Crevoisier R.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1163-1166. doi: 10.1109/EMBC.2016.7590911.

PMID:
28268532
4.

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.

Patel P, Chappelow J, Tomaszewski J, Feldman MD, Rosen M, Shih N, Madabhushi A.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6269-72. doi: 10.1109/IEMBS.2011.6091547.

PMID:
22255771
5.

Model-based registration of ex vivo and in vivo MRI of the prostate using elastography*.

Nir G, Sahebjavaher RS, Kozlowski P, Chang SD, Sinkus R, Goldenberg SL, Salcudean SE.

IEEE Trans Med Imaging. 2013 Jul;32(7):1349-61. doi: 10.1109/TMI.2013.2269174.

PMID:
23807814
6.

Three-dimensional registration of prostate images from histology and ultrasound.

Taylor LS, Porter BC, Nadasdy G, di Sant'Agnese PA, Pasternack D, Wu Z, Baggs RB, Rubens DJ, Parker KJ.

Ultrasound Med Biol. 2004 Feb;30(2):161-8.

PMID:
14998668
7.

3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging.

Mertzanidou T, Hipwell JH, Reis S, Hawkes DJ, Ehteshami Bejnordi B, Dalmis M, Vreemann S, Platel B, van der Laak J, Karssemeijer N, Hermsen M, Bult P, Mann R.

Med Phys. 2017 Mar;44(3):935-948. doi: 10.1002/mp.12077.

PMID:
28064435
8.

Model-based registration of ex vivo and in vivo MRI of the prostate using elastography.

Nir G, Sahebjavaher RS, Kozlowski P, Chang SD, Sinkus R.

IEEE Trans Med Imaging. 2013 Jun;32(6):1068-80. doi: 10.1109/TMI.2013.2251469. Epub 2013 Mar 7.

PMID:
23475353
9.

A Workflow to Improve the Alignment of Prostate Imaging with Whole-mount Histopathology.

Yamamoto H, Nir D, Vyas L, Chang RT, Popert R, Cahill D, Challacombe B, Dasgupta P, Chandra A.

Acad Radiol. 2014 Aug;21(8):1009-19. doi: 10.1016/j.acra.2014.04.015.

PMID:
25018073
10.

Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findings.

Commandeur F, Acosta O, Simon A, Mathieu R, Fautrel A, Gnep K, Haigron P, de Crevoisier R.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:2399-402. doi: 10.1109/EMBC.2015.7318877.

PMID:
26736777
11.

Robust alignment of prostate histology slices with quantified accuracy.

Hughes C, Rouvière O, Mege-Lechevallier F, Souchon R, Prost R.

IEEE Trans Biomed Eng. 2013 Feb;60(2):281-91. doi: 10.1109/TBME.2012.2225835. Epub 2012 Oct 22.

PMID:
23144026
12.

3D surface-based registration of ultrasound and histology in prostate cancer imaging.

Schalk SG, Postema A, Saidov TA, Demi L, Smeenge M, de la Rosette JJ, Wijkstra H, Mischi M.

Comput Med Imaging Graph. 2016 Jan;47:29-39. doi: 10.1016/j.compmedimag.2015.11.001. Epub 2015 Dec 1.

PMID:
26647110
13.

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.

Xiao G, Bloch BN, Chappelow J, Genega EM, Rofsky NM, Lenkinski RE, Tomaszewski J, Feldman MD, Rosen M, Madabhushi A.

Comput Med Imaging Graph. 2011 Oct-Dec;35(7-8):568-78. doi: 10.1016/j.compmedimag.2010.12.003. Epub 2011 Jan 21.

PMID:
21255974
14.

Multiparametric 3D in vivo ultrasound vibroelastography imaging of prostate cancer: Preliminary results.

Moradi M, Mahdavi SS, Nir G, Mohareri O, Koupparis A, Gagnon LO, Fazli L, Casey RG, Ischia J, Jones EC, Goldenberg SL, Salcudean SE.

Med Phys. 2014 Jul;41(7):073505. doi: 10.1118/1.4884226.

PMID:
24989419
15.

A comparison of US- versus MR-based 3-D Prostate Shapes Using Radial Basis Function Interpolation and Statistical Shape Models.

Tao R, Tavakoli M, Sloboda R, Usmani N.

IEEE J Biomed Health Inform. 2015 Mar;19(2):623-34. doi: 10.1109/JBHI.2014.2324975. Epub 2014 May 19.

PMID:
24860042
16.

Automatic 3D registration for interventional MRI-guided treatment of prostate cancer.

Fei B, Duerk JL, Wilson DL.

Comput Aided Surg. 2002;7(5):257-67.

PMID:
12582978
17.

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. doi: 10.1109/TMI.2014.2300694.

PMID:
24710163
18.

Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.

Madabhushi A, Feldman MD, Metaxas DN, Tomaszeweski J, Chute D.

IEEE Trans Med Imaging. 2005 Dec;24(12):1611-25.

PMID:
16350920
19.
20.

Preliminary experience with a novel method of three-dimensional co-registration of prostate cancer digital histology and in vivo multiparametric MRI.

Orczyk C, Rusinek H, Rosenkrantz AB, Mikheev A, Deng FM, Melamed J, Taneja SS.

Clin Radiol. 2013 Dec;68(12):e652-8. doi: 10.1016/j.crad.2013.07.010. Epub 2013 Aug 28.

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