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Items: 1 to 50 of 100

1.

Transcranial Recording of Electrophysiological Neural Activity in the Rodent Brain in vivo Using Functional Photoacoustic Imaging of Near-Infrared Voltage-Sensitive Dye.

Kang J, Zhang HK, Kadam SD, Fedorko J, Valentine H, Malla AP, Yan P, Harraz MM, Kang JU, Rahmim A, Gjedde A, Loew LM, Wong DF, Boctor EM.

Front Neurosci. 2019 Aug 9;13:579. doi: 10.3389/fnins.2019.00579. eCollection 2019.

2.

Imager-4D: New Software for Viewing Dynamic PET Scans and Extracting Radiomic Parameters from PET Data.

Rowe SP, Solnes LB, Yin Y, Kitchen G, Lodge MA, Karakatsanis NA, Rahmim A, Pomper MG, Leal JP.

J Digit Imaging. 2019 Aug 6. doi: 10.1007/s10278-019-00255-7. [Epub ahead of print]

PMID:
31388864
3.

Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

Du D, Feng H, Lv W, Ashrafinia S, Yuan Q, Wang Q, Yang W, Feng Q, Chen W, Rahmim A, Lu L.

Mol Imaging Biol. 2019 Jul 23. doi: 10.1007/s11307-019-01411-9. [Epub ahead of print]

PMID:
31338709
4.

Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease.

Salmanpour MR, Shamsaei M, Saberi A, Setayeshi S, Klyuzhin IS, Sossi V, Rahmim A.

Comput Biol Med. 2019 Aug;111:103347. doi: 10.1016/j.compbiomed.2019.103347. Epub 2019 Jun 28.

PMID:
31284154
5.

Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC).

Shiri I, Ghafarian P, Geramifar P, Leung KH, Ghelichoghli M, Oveisi M, Rahmim A, Ay MR.

Eur Radiol. 2019 Jun 21. doi: 10.1007/s00330-019-06229-1. [Epub ahead of print]

PMID:
31227879
6.

Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features.

Rahmim A, Bak-Fredslund KP, Ashrafinia S, Lu L, Schmidtlein CR, Subramaniam RM, Morsing A, Keiding S, Horsager J, Munk OL.

Eur J Radiol. 2019 Apr;113:101-109. doi: 10.1016/j.ejrad.2019.02.006. Epub 2019 Feb 8.

PMID:
30927933
7.

Artificial Neural Network-Based Prediction of Outcome in Parkinson's Disease Patients Using DaTscan SPECT Imaging Features.

Tang J, Yang B, Adams MP, Shenkov NN, Klyuzhin IS, Fotouhi S, Davoodi-Bojd E, Lu L, Soltanian-Zadeh H, Sossi V, Rahmim A.

Mol Imaging Biol. 2019 Mar 7. doi: 10.1007/s11307-019-01334-5. [Epub ahead of print]

PMID:
30847821
8.

Economic sanctions are against basic human rights on health.

Farsad M, Rahmim A, Dadparvar S, Farahati J, Mirzaei S, Alavi A.

Eur J Nucl Med Mol Imaging. 2019 May;46(5):1046-1047. doi: 10.1007/s00259-019-4269-3. Epub 2019 Jan 28. No abstract available.

PMID:
30690665
9.

Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma.

Lv W, Yuan Q, Wang Q, Ma J, Feng Q, Chen W, Rahmim A, Lu L.

Mol Imaging Biol. 2019 Oct;21(5):954-964. doi: 10.1007/s11307-018-01304-3.

PMID:
30671740
10.

Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration.

Klyuzhin IS, Fu JF, Hong A, Sacheli M, Shenkov N, Matarazzo M, Rahmim A, Stoessl AJ, Sossi V.

PLoS One. 2018 Nov 5;13(11):e0206607. doi: 10.1371/journal.pone.0206607. eCollection 2018.

11.

Recovery of missing data in partial geometry PET scanners: Compensation in projection space vs image space.

Shojaeilangari S, Schmidtlein CR, Rahmim A, Ay MR.

Med Phys. 2018 Dec;45(12):5437-5449. doi: 10.1002/mp.13225. Epub 2018 Oct 25.

PMID:
30288762
12.

Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors.

Ketabi A, Ghafarian P, Mosleh-Shirazi MA, Mahdavi SR, Rahmim A, Ay MR.

Eur Radiol. 2019 Apr;29(4):2146-2156. doi: 10.1007/s00330-018-5754-y. Epub 2018 Oct 2.

PMID:
30280249
13.

Dynamic whole-body PET imaging: principles, potentials and applications.

Rahmim A, Lodge MA, Karakatsanis NA, Panin VY, Zhou Y, McMillan A, Cho S, Zaidi H, Casey ME, Wahl RL.

Eur J Nucl Med Mol Imaging. 2019 Feb;46(2):501-518. doi: 10.1007/s00259-018-4153-6. Epub 2018 Sep 29. Review.

PMID:
30269154
14.

Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization.

Zhu Y, Jha AK, Wong DF, Rahmim A.

Biomed Opt Express. 2018 Jun 13;9(7):3106-3121. doi: 10.1364/BOE.9.003106. eCollection 2018 Jul 1.

15.

Measuring PET Spatial Resolution Using a Cylinder Phantom Positioned at an Oblique Angle.

Lodge MA, Leal JP, Rahmim A, Sunderland JJ, Frey EC.

J Nucl Med. 2018 Nov;59(11):1768-1775. doi: 10.2967/jnumed.118.209593. Epub 2018 Jun 14.

16.

Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images.

Rahmim A, Huang P, Shenkov N, Fotouhi S, Davoodi-Bojd E, Lu L, Mari Z, Soltanian-Zadeh H, Sossi V.

Neuroimage Clin. 2017 Aug 26;16:539-544. doi: 10.1016/j.nicl.2017.08.021. eCollection 2017.

17.

Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study.

Salehi N, Rahmim A, Fatemizadeh E, Akbarzadeh A, Farahani MH, Farzanefar S, Ay MR.

Phys Med. 2018 May;49:77-82. doi: 10.1016/j.ejmp.2018.05.004. Epub 2018 May 11.

PMID:
29866346
18.

Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging.

Jha AK, Zhu Y, Arridge S, Wong DF, Rahmim A.

Biomed Opt Express. 2018 Mar 1;9(4):1389-1407. doi: 10.1364/BOE.9.001389. eCollection 2018 Apr 1.

19.

Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT.

Lv W, Yuan Q, Wang Q, Ma J, Jiang J, Yang W, Feng Q, Chen W, Rahmim A, Lu L.

Eur Radiol. 2018 Aug;28(8):3245-3254. doi: 10.1007/s00330-018-5343-0. Epub 2018 Mar 8.

PMID:
29520429
20.

Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition.

Lu L, Ma X, Mohy-Ud-Din H, Ma J, Feng Q, Rahmim A, Chen W.

Comput Methods Programs Biomed. 2018 Feb;154:57-69. doi: 10.1016/j.cmpb.2017.10.020. Epub 2017 Oct 31.

PMID:
29249347
21.

Improved scatter correction with factor analysis for planar and SPECT imaging.

Knoll P, Rahmim A, Gültekin S, Šámal M, Ljungberg M, Mirzaei S, Segars P, Szczupak B.

Rev Sci Instrum. 2017 Sep;88(9):094303. doi: 10.1063/1.5001024.

22.

Low-dose 90Y PET/CT imaging optimized for lesion detectability and quantitative accuracy: a phantom study to assess the feasibility of pretherapy imaging to plan the therapeutic dose.

Khazaee M, Kamali-Asl A, Geramifar P, Rahmim A.

Nucl Med Commun. 2017 Nov;38(11):985-997. doi: 10.1097/MNM.0000000000000742.

PMID:
28902765
23.

Quantification and reduction of respiratory induced artifacts in positron emission tomography/computed tomography using the time-of-flight technique.

Sharifpour R, Ghafarian P, Rahmim A, Ay MR.

Nucl Med Commun. 2017 Nov;38(11):948-955. doi: 10.1097/MNM.0000000000000732.

PMID:
28863124
24.

A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging.

Jha AK, Zhu Y, Wong DF, Rahmim A.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10137. pii: 1013705. doi: 10.1117/12.2255802. Epub 2017 Mar 13.

25.

Development and Evaluation of Image Reconstruction Algorithms for a Novel Desktop SPECT System.

Zeraatkar N, Rahmim A, Sarkar S, Ay MR.

Asia Ocean J Nucl Med Biol. 2017 Spring;5(2):120-133. doi: 10.22038/aojnmb.2017.8708.

26.

MRI-assisted dual motion correction for myocardial perfusion defect detection in PET imaging.

Wang X, Rahmim A, Tang J.

Med Phys. 2017 Sep;44(9):4536-4547. doi: 10.1002/mp.12429. Epub 2017 Aug 9.

PMID:
28646593
27.

A three-step reconstruction method for fluorescence molecular tomography based on compressive sensing.

Zhu Y, Jha AK, Dreyer JK, Le HND, Kang JU, Roland PE, Wong DF, Rahmim A.

Proc SPIE Int Soc Opt Eng. 2017 Jan 28;10059. pii: 1005911. doi: 10.1117/12.2252664. Epub 2017 Feb 17.

28.

Linking dopaminergic reward signals to the development of attentional bias: A positron emission tomographic study.

Anderson BA, Kuwabara H, Wong DF, Roberts J, Rahmim A, Brašić JR, Courtney SM.

Neuroimage. 2017 Aug 15;157:27-33. doi: 10.1016/j.neuroimage.2017.05.062. Epub 2017 May 30.

29.

The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.

Shiri I, Rahmim A, Ghaffarian P, Geramifar P, Abdollahi H, Bitarafan-Rajabi A.

Eur Radiol. 2017 Nov;27(11):4498-4509. doi: 10.1007/s00330-017-4859-z. Epub 2017 May 31.

PMID:
28567548
30.

Implementation of absolute quantification in small-animal SPECT imaging: Phantom and animal studies.

Gerdekoohi SK, Vosoughi N, Tanha K, Assadi M, Ghafarian P, Rahmim A, Ay MR.

J Appl Clin Med Phys. 2017 Jul;18(4):215-223. doi: 10.1002/acm2.12094. Epub 2017 May 16.

31.

Association Between Midlife Vascular Risk Factors and Estimated Brain Amyloid Deposition.

Gottesman RF, Schneider AL, Zhou Y, Coresh J, Green E, Gupta N, Knopman DS, Mintz A, Rahmim A, Sharrett AR, Wagenknecht LE, Wong DF, Mosley TH.

JAMA. 2017 Apr 11;317(14):1443-1450. doi: 10.1001/jama.2017.3090.

32.

Listening to membrane potential: photoacoustic voltage-sensitive dye recording.

Zhang HK, Yan P, Kang J, Abou DS, Le HN, Jha AK, Thorek DL, Kang JU, Rahmim A, Wong DF, Boctor EM, Loew LM.

J Biomed Opt. 2017 Apr 1;22(4):45006. doi: 10.1117/1.JBO.22.4.045006.

33.

Correction: The Vital Role of Blood Flow-Induced Proliferation and Migration in Capillary Network Formation in a Multiscale Model of Angiogenesis.

Bazmara H, Soltani M, Sefidgar M, Bazargan M, Mousavi Naeenian M, Rahmim A.

PLoS One. 2017 Apr 6;12(4):e0175601. doi: 10.1371/journal.pone.0175601. eCollection 2017.

34.

Generalized PSF modeling for optimized quantitation in PET imaging.

Ashrafinia S, Mohy-Ud-Din H, Karakatsanis NA, Jha AK, Casey ME, Kadrmas DJ, Rahmim A.

Phys Med Biol. 2017 Jun 21;62(12):5149-5179. doi: 10.1088/1361-6560/aa6911. Epub 2017 Mar 24.

PMID:
28338471
35.

Practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in positron emission tomography.

Jha AK, Mena E, Caffo B, Ashrafinia S, Rahmim A, Frey E, Subramaniam RM.

J Med Imaging (Bellingham). 2017 Jan;4(1):011011. doi: 10.1117/1.JMI.4.1.011011. Epub 2017 Mar 3.

36.

Enhancing ejection fraction measurement through 4D respiratory motion compensation in cardiac PET imaging.

Tang J, Wang X, Gao X, Segars WP, Lodge MA, Rahmim A.

Phys Med Biol. 2017 Jun 7;62(11):4496-4513. doi: 10.1088/1361-6560/aa6417. Epub 2017 Mar 2.

PMID:
28252451
37.

Value of Intratumoral Metabolic Heterogeneity and Quantitative 18F-FDG PET/CT Parameters to Predict Prognosis in Patients With HPV-Positive Primary Oropharyngeal Squamous Cell Carcinoma.

Mena E, Taghipour M, Sheikhbahaei S, Jha AK, Rahmim A, Solnes L, Subramaniam RM.

Clin Nucl Med. 2017 May;42(5):e227-e234. doi: 10.1097/RLU.0000000000001578.

38.

Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments.

Rahmim A, Salimpour Y, Jain S, Blinder SA, Klyuzhin IS, Smith GS, Mari Z, Sossi V.

Neuroimage Clin. 2016 Feb 23;12:e1-e9. eCollection 2016.

39.

Spatiotemporal distribution modeling of PET tracer uptake in solid tumors.

Soltani M, Sefidgar M, Bazmara H, Casey ME, Subramaniam RM, Wahl RL, Rahmim A.

Ann Nucl Med. 2017 Feb;31(2):109-124. doi: 10.1007/s12149-016-1141-4. Epub 2016 Dec 5.

PMID:
27921285
40.

Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.

Lu L, Lv W, Jiang J, Ma J, Feng Q, Rahmim A, Chen W.

Mol Imaging Biol. 2016 Dec;18(6):935-945.

PMID:
27324369
41.

A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [18F]FDG-PET Imaging.

Soufi M, Kamali-Asl A, Geramifar P, Rahmim A.

Mol Imaging Biol. 2017 Jun;19(3):456-468. doi: 10.1007/s11307-016-1015-0.

PMID:
27770402
42.

Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction.

Karakatsanis NA, Casey ME, Lodge MA, Rahmim A, Zaidi H.

Phys Med Biol. 2016 Aug 7;61(15):5456-85. doi: 10.1088/0031-9155/61/15/5456. Epub 2016 Jul 6.

43.

The ARIC-PET amyloid imaging study: Brain amyloid differences by age, race, sex, and APOE.

Gottesman RF, Schneider AL, Zhou Y, Chen X, Green E, Gupta N, Knopman DS, Mintz A, Rahmim A, Sharrett AR, Wagenknecht LE, Wong DF, Mosley TH Jr.

Neurology. 2016 Aug 2;87(5):473-80. doi: 10.1212/WNL.0000000000002914. Epub 2016 Jul 1.

44.

Therapy Response Assessment and Patient Outcomes in Head and Neck Squamous Cell Carcinoma: FDG PET Hopkins Criteria Versus Residual Neck Node Size and Morphologic Features.

Wray R, Sheikhbahaei S, Marcus C, Zan E, Ferraro R, Rahmim A, Subramaniam RM.

AJR Am J Roentgenol. 2016 Sep;207(3):641-7. doi: 10.2214/AJR.15.15730. Epub 2016 Jun 24.

PMID:
27341273
45.

Design and assessment of a novel SPECT system for desktop open-gantry imaging of small animals: A simulation study.

Zeraatkar N, Farahani MH, Rahmim A, Sarkar S, Ay MR.

Med Phys. 2016 May;43(5):2581. doi: 10.1118/1.4947127.

PMID:
27147368
46.

The Role of Dopamine in Value-Based Attentional Orienting.

Anderson BA, Kuwabara H, Wong DF, Gean EG, Rahmim A, Brašić JR, George N, Frolov B, Courtney SM, Yantis S.

Curr Biol. 2016 Feb 22;26(4):550-5. doi: 10.1016/j.cub.2015.12.062. Epub 2016 Feb 11.

47.

Impact of point spread function reconstruction on quantitative 18F-FDG-PET/CT imaging parameters and inter-reader reproducibility in solid tumors.

Sheikhbahaei S, Marcus C, Wray R, Rahmim A, Lodge MA, Subramaniam RM.

Nucl Med Commun. 2016 Mar;37(3):288-96. doi: 10.1097/MNM.0000000000000445.

PMID:
26650959
48.

A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction.

Rahmim A, Schmidtlein CR, Jackson A, Sheikhbahaei S, Marcus C, Ashrafinia S, Soltani M, Subramaniam RM.

Phys Med Biol. 2016 Jan 7;61(1):227-42. doi: 10.1088/0031-9155/61/1/227. Epub 2015 Dec 7.

49.

18F-FDG-PET/CT therapy assessment of locally advanced pancreatic adenocarcinoma: impact on management and utilization of quantitative parameters for patient survival prediction.

Sheikhbahaei S, Wray R, Young B, Mena E, Taghipour M, Rahmim A, Subramaniam RM.

Nucl Med Commun. 2016 Mar;37(3):231-8. doi: 10.1097/MNM.0000000000000436.

PMID:
26575392
50.

Combined fuzzy logic and random walker algorithm for PET image tumor delineation.

Soufi M, Kamali-Asl A, Geramifar P, Abdoli M, Rahmim A.

Nucl Med Commun. 2016 Feb;37(2):171-81. doi: 10.1097/MNM.0000000000000428.

PMID:
26517069

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