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Items: 1 to 20 of 92

1.

Pixels as ROIs (PAR): a less-biased and statistically powerful approach for gleaning functional information from image stacks.

Keller J, Homma K, Dallos P.

PLoS One. 2013 Jul 11;8(7):e69047. doi: 10.1371/journal.pone.0069047. Print 2013. Erratum in: PLoS One. 2013;8(7). doi:10.1371/annotation/435abed9-4628-4699-b020-faa83a1ef3b7. Keller, Jacob Pearson [corrected to Keller, Jacob].

2.

An automated ROI setting method using NEUROSTAT on cerebral blood flow SPECT images.

Ogura T, Hida K, Masuzuka T, Saito H, Minoshima S, Nishikawa K.

Ann Nucl Med. 2009 Jan;23(1):33-41. doi: 10.1007/s12149-008-0203-7. Epub 2009 Feb 11.

PMID:
19205836
3.

Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.

Sato JR, Fujita A, Cardoso EF, Thomaz CE, Brammer MJ, Amaro E Jr.

Neuroimage. 2010 Oct 1;52(4):1444-55. doi: 10.1016/j.neuroimage.2010.05.022. Epub 2010 Jun 1.

PMID:
20472076
4.

Evaluation of a method for activity estimation in Sm-153 EDTMP imaging.

Vanzi E, Genovesi D, Di Martino F.

Med Phys. 2009 Apr;36(4):1219-29.

PMID:
19472629
5.

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.

Zhu D, Li K, Faraco CC, Deng F, Zhang D, Guo L, Miller LS, Liu T.

Neuroimage. 2012 Jan 16;59(2):1382-93. doi: 10.1016/j.neuroimage.2011.08.037. Epub 2011 Aug 19.

6.

Automatic detection of regions of interest in breast ultrasound images based on local phase information.

Wang X, Guo Y, Wang Y.

Biomed Mater Eng. 2015;26 Suppl 1:S1265-73. doi: 10.3233/BME-151424.

PMID:
26405886
7.

Homology-based method for detecting regions of interest in colonic digital images.

Nakane K, Takiyama A, Mori S, Matsuura N.

Diagn Pathol. 2015 Apr 24;10:36. doi: 10.1186/s13000-015-0244-x.

8.
9.

Masked volume wise Principal Component Analysis of small adrenocortical tumours in dynamic [11C]-metomidate Positron Emission Tomography.

Razifar P, Hennings J, Monazzam A, Hellman P, Långström B, Sundin A.

BMC Med Imaging. 2009 Apr 22;9:6. doi: 10.1186/1471-2342-9-6.

10.

Reconstruction of 2D PET data with Monte Carlo generated system matrix for generalized natural pixels.

Vandenberghe S, Staelens S, Byrne CL, Soares EJ, Lemahieu I, Glick SJ.

Phys Med Biol. 2006 Jun 21;51(12):3105-25. Epub 2006 May 31.

PMID:
16757866
12.

Apparent diffusion coefficient (ADC) measurement in endometrial carcinoma: effect of region of interest methods on ADC values.

Inoue C, Fujii S, Kaneda S, Fukunaga T, Kaminou T, Kigawa J, Harada T, Ogawa T.

J Magn Reson Imaging. 2014 Jul;40(1):157-61. doi: 10.1002/jmri.24372. Epub 2013 Oct 31.

PMID:
24677497
13.

Theoretical study of penalized-likelihood image reconstruction for region of interest quantification.

Qi J, Huesman RH.

IEEE Trans Med Imaging. 2006 May;25(5):640-8.

PMID:
16689267
14.

A macroquantification approach for region-of-interest assessment in emission tomography.

Bouallègue FB.

J Comput Assist Tomogr. 2013 Sep-Oct;37(5):770-82. doi: 10.1097/RCT.0b013e31829cb7dd.

PMID:
24045256
15.

Noise spatial nonuniformity and the impact of statistical image reconstruction in CT myocardial perfusion imaging.

Lauzier PT, Tang J, Speidel MA, Chen GH.

Med Phys. 2012 Jul;39(7):4079-92. doi: 10.1118/1.4722983.

16.

Accuracy and reproducibility of a subpixel extended phase correlation method to determine micron level displacements in the heart.

Kelly DJ, Azeloglu EU, Kochupura PV, Sharma GS, Gaudette GR.

Med Eng Phys. 2007 Jan;29(1):154-62. Epub 2006 Mar 13.

PMID:
16531092
17.

Prostate cancer multi-feature analysis using trans-rectal ultrasound images.

Mohamed SS, Salama MM, Kamel M, El-Saadany EF, Rizkalla K, Chin J.

Phys Med Biol. 2005 Aug 7;50(15):N175-85. Epub 2005 Jul 19.

PMID:
16030375
18.

Identifying regions of interest in medical images using self-organizing maps.

Teng WG, Chang PL.

J Med Syst. 2012 Oct;36(5):2761-8. doi: 10.1007/s10916-011-9752-8. Epub 2011 Jul 5.

PMID:
21748657
19.

Validation of a method for accurate and highly reproducible quantification of brain dopamine transporter SPECT studies.

Jensen PS, Ziebell M, Skouboe G, Khalid U, de Nijs R, Thomsen G, Knudsen GM, Svarer C.

J Nucl Med Technol. 2011 Dec;39(4):271-8. doi: 10.2967/jnmt.111.090324. Epub 2011 Nov 9.

20.

Improvement of algorithm for quantification of regional myocardial blood flow using 15O-water with PET.

Katoh C, Morita K, Shiga T, Kubo N, Nakada K, Tamaki N.

J Nucl Med. 2004 Nov;45(11):1908-16.

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