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Items: 1 to 20 of 54

1.

Multi-resolution Bayesian regression in PET dynamic studies using wavelets.

Turkheimer FE, Aston JA, Asselin MC, Hinz R.

Neuroimage. 2006 Aug 1;32(1):111-21. Epub 2006 Apr 27.

PMID:
16644238
2.

Direct reconstruction of kinetic parameter images from dynamic PET data.

Kamasak ME, Bouman CA, Morris ED, Sauer K.

IEEE Trans Med Imaging. 2005 May;24(5):636-50.

PMID:
15889551
3.

Wavelet analysis of dynamic PET data: application to the parametric imaging of benzodiazepine receptor concentration.

Millet P, Ibáñez V, Delforge J, Pappata S, Guimón J.

Neuroimage. 2000 May;11(5 Pt 1):458-72.

PMID:
10806032
4.

Modeling dynamic PET-SPECT studies in the wavelet domain.

Turkheimer FE, Banati RB, Visvikis D, Aston JA, Gunn RN, Cunningham VJ.

J Cereb Blood Flow Metab. 2000 May;20(5):879-93.

PMID:
10826539
5.

Evaluation of a direct 4D reconstruction method using generalised linear least squares for estimating nonlinear micro-parametric maps.

Angelis GI, Matthews JC, Kotasidis FA, Markiewicz PJ, Lionheart WR, Reader AJ.

Ann Nucl Med. 2014 Nov;28(9):860-73. doi: 10.1007/s12149-014-0881-2. Epub 2014 Jul 30.

PMID:
25073760
6.

PET kinetic analysis: wavelet denoising of dynamic PET data with application to parametric imaging.

Shidahara M, Ikoma Y, Kershaw J, Kimura Y, Naganawa M, Watabe H.

Ann Nucl Med. 2007 Sep;21(7):379-86. Epub 2007 Sep 25. Review.

PMID:
17876550
7.
8.

Improved parametric image generation using spatial-temporal analysis of dynamic PET studies.

Zhou Y, Huang SC, Bergsneider M, Wong DF.

Neuroimage. 2002 Mar;15(3):697-707.

PMID:
11848713
9.

Multi-Scale hierarchical generation of PET parametric maps: application and testing on a [11C]DPN study.

Rizzo G, Turkheimer FE, Keihaninejad S, Bose SK, Hammers A, Bertoldo A.

Neuroimage. 2012 Feb 1;59(3):2485-93. doi: 10.1016/j.neuroimage.2011.08.101. Epub 2011 Sep 8.

PMID:
21924366
10.

18F-FDOPA PET imaging of brain tumors: comparison study with 18F-FDG PET and evaluation of diagnostic accuracy.

Chen W, Silverman DH, Delaloye S, Czernin J, Kamdar N, Pope W, Satyamurthy N, Schiepers C, Cloughesy T.

J Nucl Med. 2006 Jun;47(6):904-11.

11.

Using a reference tissue model with spatial constraint to quantify [11C]Pittsburgh compound B PET for early diagnosis of Alzheimer's disease.

Zhou Y, Resnick SM, Ye W, Fan H, Holt DP, Klunk WE, Mathis CA, Dannals R, Wong DF.

Neuroimage. 2007 Jun;36(2):298-312. Epub 2007 Mar 16.

12.

Maximum a posteriori reconstruction of the Patlak parametric image from sinograms in dynamic PET.

Wang G, Fu L, Qi J.

Phys Med Biol. 2008 Feb 7;53(3):593-604. doi: 10.1088/0031-9155/53/3/006. Epub 2008 Jan 10.

PMID:
18199904
13.

Optimization of dynamic measurement of receptor kinetics by wavelet denoising.

Alpert NM, Reilhac A, Chio TC, Selesnick I.

Neuroimage. 2006 Apr 1;30(2):444-51. Epub 2005 Oct 27.

PMID:
16257238
14.

Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis.

Naganawa M, Kimura Y, Ishii K, Oda K, Ishiwata K, Matani A.

IEEE Trans Biomed Eng. 2005 Feb;52(2):201-10.

PMID:
15709657
15.

Robust estimation of kinetic parameters in dynamic PET imaging.

Gao F, Liu H, Shi P.

Med Image Comput Comput Assist Interv. 2011;14(Pt 1):492-9.

PMID:
22003654
16.

An input function estimation method for FDG-PET human brain studies.

Guo H, Renaut RA, Chen K.

Nucl Med Biol. 2007 Jul;34(5):483-92.

17.

The role of quantitative (18)F-FDG PET studies for the differentiation of malignant and benign bone lesions.

Dimitrakopoulou-Strauss A, Strauss LG, Heichel T, Wu H, Burger C, Bernd L, Ewerbeck V.

J Nucl Med. 2002 Apr;43(4):510-8.

18.

Computer phantom study of brain PET glucose metabolism imaging using a rotating SPECT/PET camera.

McGoron AJ, Mao X, Georgiou MF, Kuluz JW.

Comput Biol Med. 2005 Jul;35(6):511-31.

PMID:
15780862
19.

Validation of Bayesian analysis of compartmental kinetic models in medical imaging.

Sitek A, Li Q, El Fakhri G, Alpert NM.

Phys Med. 2016 Oct;32(10):1252-1258. doi: 10.1016/j.ejmp.2016.09.010. Epub 2016 Sep 28.

PMID:
27692754
20.

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