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Items: 1 to 20 of 101

1.

Wavelet denoising of multiframe optical coherence tomography data.

Mayer MA, Borsdorf A, Wagner M, Hornegger J, Mardin CY, Tornow RP.

Biomed Opt Express. 2012 Mar 1;3(3):572-89. doi: 10.1364/BOE.3.000572.

2.

Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering.

Sudeep PV, Issac Niwas S, Palanisamy P, Rajan J, Xiaojun Y, Wang X, Luo Y, Liu L.

Comput Biol Med. 2016 Apr 1;71:97-107. doi: 10.1016/j.compbiomed.2016.02.003.

PMID:
26907572
3.

Retinal optical coherence tomography image enhancement via shrinkage denoising using double-density dual-tree complex wavelet transform.

Chitchian S, Mayer MA, Boretsky AR, van Kuijk FJ, Motamedi M.

J Biomed Opt. 2012 Nov;17(11):116009. doi: 10.1117/1.JBO.17.11.116009.

4.

General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery.

Wong A, Mishra A, Bizheva K, Clausi DA.

Opt Express. 2010 Apr 12;18(8):8338-52. doi: 10.1364/OE.18.008338.

PMID:
20588679
5.

Wavelet domain compounding for speckle reduction in optical coherence tomography.

Xu J, Ou H, Sun C, Chui PC, Yang VX, Lam EY, Wong KK.

J Biomed Opt. 2013 Sep;18(9):096002. doi: 10.1117/1.JBO.18.9.096002.

PMID:
24002189
6.

Dual tree complex wavelet transform based denoising of optical microscopy images.

Bal U.

Biomed Opt Express. 2012 Dec 1;3(12):3231-9. doi: 10.1364/BOE.3.003231.

7.

Experimental and theoretical analysis of wavelet-based denoising filter for echocardiographic images.

Kang SC, Hong SH.

Stud Health Technol Inform. 2001;84(Pt 2):906-9.

PMID:
11604864
8.

OPTICAL COHERENCE TOMOGRAPHY HEART TUBE IMAGE DENOISING BASED ON CONTOURLET TRANSFORM.

Guo Q, Sun S, Dong F, Gao BZ, Wang R.

Proc Int Conf Mach Learn Cybern. 2012;3:1139-1144. Review.

9.

Speckle noise reduction in ultrasound images using a discrete wavelet transform-based image fusion technique.

Choi HH, Lee JH, Kim SM, Park SY.

Biomed Mater Eng. 2015;26 Suppl 1:S1587-97. doi: 10.3233/BME-151458.

PMID:
26405924
10.

Wavelet denoising during optical coherence tomography of the prostate nerves using the complex wavelet transform.

Chitchian S, Fiddy M, Fried NM.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3016-9. doi: 10.1109/IEMBS.2008.4649838.

PMID:
19163341
11.

Application of improved homogeneity similarity-based denoising in optical coherence tomography retinal images.

Chen Q, de Sisternes L, Leng T, Rubin DL.

J Digit Imaging. 2015 Jun;28(3):346-61. doi: 10.1007/s10278-014-9742-8.

12.

Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform.

Chitchian S, Fiddy MA, Fried NM.

J Biomed Opt. 2009 Jan-Feb;14(1):014031. doi: 10.1117/1.3081543.

PMID:
19256719
13.

Image denoising algorithm based on contourlet transform for optical coherence tomography heart tube image.

Guo Q, Dong F, Sun S, Lei B, Gao BZ.

IET Image Process. 2013 Jul;7(5):442-450.

14.

Multiresolution edge detection using enhanced fuzzy c-means clustering for ultrasound image speckle reduction.

Tsantis S, Spiliopoulos S, Skouroliakou A, Karnabatidis D, Hazle JD, Kagadis GC.

Med Phys. 2014 Jul;41(7):072903. doi: 10.1118/1.4883815.

PMID:
24989413
15.

Denoising and 4D visualization of OCT images.

Gargesha M, Jenkins MW, Rollins AM, Wilson DL.

Opt Express. 2008 Aug 4;16(16):12313-33.

16.

Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter.

Adler DC, Ko TH, Fujimoto JG.

Opt Lett. 2004 Dec 15;29(24):2878-80.

PMID:
15645810
17.

Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation.

Le Pogam A, Hanzouli H, Hatt M, Cheze Le Rest C, Visvikis D.

Med Image Anal. 2013 Dec;17(8):877-91. doi: 10.1016/j.media.2013.05.005.

PMID:
23837964
18.

Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing.

Zong X, Laine AF, Geiser EA.

IEEE Trans Med Imaging. 1998 Aug;17(4):532-40.

PMID:
9845309
19.

New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images.

Duan J, Tench C, Gottlob I, Proudlock F, Bai L.

Phys Med Biol. 2015 Nov 21;60(22):8901-22. doi: 10.1088/0031-9155/60/22/8901.

PMID:
26553577
20.

Denoising of polychromatic CT images based on their own noise properties.

Kim JH, Chang Y, Ra JB.

Med Phys. 2016 May;43(5):2251. doi: 10.1118/1.4945022.

PMID:
27147337

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