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2020

- X. Hou, H. Ma, P. Esquinas, C. Uribe, S. Tolhurst, F. Bénard, D. Liu, A. Rahmim, and A. Celler

Impact of image reconstruction method on dose distributions derived from^{90}Y PET images: phantom and liver radioembolization patient studies

Phys. Med. Biol., In Press, 2020. - H. Abdollahi, M. Atashzar, I. Shiri, A. Rahmim, and H. Zaidi

A theranostic approach based on radiolabeled antiviral drugs, antibodies and CRISPR associated proteins for early detection and treatment of SARS-CoV-2 disease

Nucl. Med. Comm., Accepted for Publication, 2020. - I. Shiri, G. Hajianfar, A. Sohrabi, H. Abdollahi, S. P. Shayesteh, P. Geramifar, H. Zaidi, M. Oveisi, and A. Rahmim

Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: test-retest and image registration analyses

Med. Phys., In Press, 2020. - H. Abdollahi, I. Shiri, J. J. Bevelacqua, A. Jafarzadeh, A. Rahmim, H. Zaidi, S. A. R. Mortazavi, and S. M. J. Mortazavi

Low dose radiation therapy and convalescent plasma: how a hybrid method may maximize benefits for COVID-19 patients

J. Biomed. Phys. Eng., In Press, 2020. - I. Shiri, H. Arabi, P. Geramifar, G. Hajianfar, P. Ghafarian, A. Rahmim, M. R. Ay, and H. Zaidi

Deep-JASC: joint attenuation and scatter correction in whole-body^{18}F-FDG PET using a deep residual network

Euro. J. Nucl. Med. Mol. Imag., In Press, 2020. - K. H. Leung, W. Marashdeh, R. Wray, S. Ashrafinia, M. G. Pomper, A. Rahmim, and A. K. Jha

A physics-guided modular deep-learning based automated framework for tumor segmentation in PET

Med. Phys. Biol, In Press, 2020. - I. Shiri, H. Maleki, G. Hajianfar, H. Abdollahi, S. Ashrafinia, M. Hatt, H. Zaidi, M. Oveisi, and A. Rahmim

Next generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning algorithms

Med. Imag. Biol, vol. 22, pp. 1132-1148, 2020. - A. Zwanenburg
*et al.*

The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping

Radiology, vol. 295, pp. 328–338, 2020. - M. McNitt-Gray
*et al.*

Standardization in quantitative imaging: a multi-center comparison of radiomics features from different software packages on digital reference objects and patient datasets

Tomography, vol. 6, pp. 118-128, 2020. - M. Soltani, M. Jabbarifar, F. Moradi, and A. Rahmim

Evaluation of inverse methods for estimation of mechanical parameters in solid tumors

Biomed. Phys. Eng. Exp., In Press, 2020. - J. Kang
*et al.*

Transcranial photoacoustic imaging of NMDA-evoked focal circuit dynamics in the rat hippocampus

J. Neural Eng., vol. 17, pp. 025001, 2020. - W. Lv, S. Ashrafinia, J. Ma, L. Lu, and A. Rahmim

Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer

IEEE J. Biomed. Health Informatics, In Press, 2020. - M. R. Salmanpour, M. Shamsaei, A. Saberi, I. S. Klyuzhin, J. Tang, V. Sossi, and A. Rahmim

Machine learning methods for optimal prediction of motor outcome in Parkinson’s disease

Physica Medica, vol. 69, pp. 233-240, 2020. - D. Du, H. Feng, W. Lv, S. Ashrafinia, Q. Yuan, Q. Wang, W. Yang, Q. Feng, W. Chen, A. Rahmim, and L. Lu

Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma post-therapy PET/CT images

Molec. Imag. Biol., In Press, 2020. - S. Rezaei, P. Ghafarian, M. Bakhshayesh-Karam, C. F. Uribe, A. Rahmim, S. Sarkar, and M. R. Ay

The impact of iterative reconstruction protocol, signal-to-background ratio and background activity on measurement of PET spatial resolution

Japanese J. Radiology, In Press, 2020. - G. Mahmoudi, M. R. Ay, A. Rahmim, and H. Ghadiri

Computationally efficient system matrix calculation techniques in computed tomography iterative reconstruction

J. Med. Sign. Sens., vol. 10, pp. 1-11, 2020.

2019

- S. P. Rowe, L. B. Solnes, Y. Yin, G. Kitchen, M. A. Lodge, N. A. Karakatsanis, A. Rahmim, M. G. Pomper, and J. P. Leal

Imager-4D: New software for viewing dynamic PET scans and extracting radiomic parameters from PET data

J. Digit. Imag., vol. 32, pp. 1071–1080, 2019. - M. R. Salmanpour, M. Shamsaei, A. Saberi, S. Setayeshi, I. S. Klyuzhin, V. Sossi, and A. Rahmim

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

Comp. Biol. Med., vol. 111, pp. 103347, 2019. - S. Rezaei, P. Ghafarian, A. K. Jha, A. Rahmim, S. Sarkar, and M. R. Ay

Joint compensation of motion and partial volume effects by iterative deconvolution method associated with wavelet-based denoising in oncologic PET/CT imaging

Physica Medica, vol. 68, pp. 52-60, 2019. - N. Ahmadi, A. Karimian, M. N. Nasrabadi, and A. Rahmim

Assessment of fetal and maternal radiation absorbed dose in 18F-FDG PET imaging

Intern. J. Rad. Res., vol. 17, pp. 651-657, 2019. - G. Mahmoudi, M. R. Fouladi, M. R. Ay, A. Rahmim, and H. Ghadiri

Sparse-view statistical image reconstruction with improved total variation regularization for X-ray micro-CT imaging

J. Instrumentation, vol. 14, pp. P08023, 2019. - I. Shiri, P. Ghafarian, P. Geramifar, K. H. Leung, M. Ghelichoghli, M. Oveisi, A. Rahmim, and M. R. Ay

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

European Radiology, vol. 29, pp. 6867-6879, 2019. - J. Kang
*et al.*

Transcranial recording of electrophysiological neural activity in the rodent brain in vivo using functional photoacoustic imaging of near-infrared voltage-sensitive dye

Frontiers in Neuroscience, vol. 13, 579, 2019. - A. Rahmim, M. A. Lodge, N. A. Karakatsanis, V. Y. Panin, Y, Zhou, A. McMillan, S. Cho, H. Zaidi, M. E. Casey, and R. L. Wahl

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

Euro. J. Nucl. Med. Mol. Imag., vol. 46, pp. 501–518, 2019. - J. Tang, B. Yang, N. N. Shenkov, I. S. Klyuzhin, S. Fotouhi, E. Davoodi-Bojd, L. Lu, H. Soltanian-Zadeh, V. Sossi, and A. Rahmim

Artificial neural network based prediction of outcome in Parkinson’s disease patients using DaTscan SPECT imaging features

Med. Imag. Biol, vol. 21, pp. 1165-1173, 2019. - A. Rahmim, K. P. Bak-Fredslund, S. Ashrafinia, L. Lu, C. R. Schmidtlein, R. M. Subramaniam, A. Morsing, S. Keiding, J. Horsager, and O. L. Munk

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

Euro. J. Radiol., vol. 113, pp. 101-109, 2019. - W. Lv, Q. Yuan, Q. Wang, J. Ma, Q. Feng, W. Chen, A. Rahmim, and L. Lu

Radiomics analysis of PET and CT components of PET/CT imaging integrated with clinical parameters: application to prognosis for nasopharyngeal carcinoma

Mol. Imag. Biol, vol. 21, pp. 954-964, 2019. - A. Ketabi, P. Ghafarian, M. A. Mosleh-Shirazi, S. R. Mahdavi, A. Rahmim, and M. R. Ay

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

Euro. Radiol., vol. 29, pp. 2146–2156, 2019. - I. S. Klyuzhin, J. F. Fu, N. Shenkov, A. Rahmim, and V. Sossi

Use of generative disease models for analysis and selection of radiomic features in PET

IEEE Trans. Rad. Plas. Med. Sci., vol. 3, pp. 178-191, 2019.

2018

- I. S. Klyuzhin, J. F. Fu, A. Hong, M. Sacheli, N. Shenkov, M. Matarazzo, A. Rahmim, A. J. Stoessl, and V. Sossi

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

PLoS ONE, vol. 13, pp. e0206607, 2018. - S. Shojaeilangari, C. R. Schmidtlein, A. Rahmim, and M. R. Ay

Recovery of missing data in partial geometry PET scanners: compensation in projection space versus image space

Med. Phys, vol. 45, pp. 5437-5449, 2018. - Y. Zhu, A. K. Jha, D. F. Wong, and A. Rahmim

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

Biomed. Opt. Exp., vol. 9, pp. 3106-3121, 2018. - M. A. Lodge, J. P. Leal, A. Rahmim, J. J. Sunderland, and E. C. Frey

Measuring PET spatial resolution using a cylinder phantom positioned at an oblique angle

J. Nucl. Med., vol. 59, pp. 1768-1775, 2018. - N. Salehi, A. Rahmim, E. Fatemizadeh, A. Akbarzadeh, M. H. Farahani, S. Farzanefar, and M. R. Ay

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

Physica Medica, vol. 49, pp. 77-82, 2018. - H. Ghadiri, M. R. Fouladi, and A. Rahmim

An analysis scheme for investigation of effects of various parameters on signals in acoustic-resolution photoacoustic microscopy of mice brain: a simulation study

Frontiers in Biomed. Tech., vol. 4, pp. 59-69, 2018. - W. Lv, Q. Yuan, Q. Wang, J. Ma, J. Jiang, W. Yang, Q. Feng, W. Chen, A. Rahmim, and L. Lu

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

Euro. Radiol., vol. 8, pp. 3245–3254, 2018. - A. K. Jha, Y. Zhu, S. Arridge, D. F. Wong, and A. Rahmim

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

Biomed. Opt. Exp., vol. 9, pp. 1389-1407, 2018. - N. Ahmadi, M. N. Nasrabadi, A. Karimian, and A. Rahmim

Estimation of fetal absorbed dose from low-dose attenuation-correction CT in PET/CT imaging by using the Body Builder Phantom

Iranian J. Rad. Safety & Meas., vol. 6, pp. 45-53, 2018. - A. Emami, H. Ghadiri, A. Rahmim, and M. R. Ay

A novel dual energy method for enhanced quantitative computed tomography

J. Instrumentation, vol. 13, pp. P01030, 2018. - Z. Etemadi, P. Ghafarian, A. Bitarafan-Rajabi, H. Malek, A. Rahmim, and M. R. Ay

Is correction for metallic artefacts mandatory in cardiac SPECT/CT imaging in the presence of pacemaker and implantable cardioverter defibrillator leads?

Iranian J. Nucl. Med., vol. 26, pp. 35-46, 2018. - L. Lu, X. Ma, H. Mohy-ud-Din, J. Ma, Q. Feng, A. Rahmim, and W. Chen

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

Comp. Meth. Prog. Biomed., vol. 154, p. 57-69, 2018.

2017

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

Improved prediction of outcome in Parkinson’s disease using radiomics analysis of longitudinal DAT SPECT Images (supplement)

NeuroImage: Clinical, vol. 16, pp. 539-544, 2017. - R. Sharifpour, P. Ghafarian, A. Rahmim, and M. R. Ay

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

Nucl. Med. Comm., vol. 38, pp. 948–955, 2017. - M. Khazaee, A. Kamali-Asl, P. Geramifar, and A. Rahmim

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

Nucl. Med. Comm., vol. 38, pp. 985–997, 2017. - R. F. Gottesman
*et al.*

Association between midlife vascular risk factors and estimated brain amyloid deposition

JAMA, vol. 317, pp. 1443-1450, 2017. - S. Ashrafinia, H. Mohy-ud-Din, N. A. Karakatsanis, A. K. Jha, M. Casey, D. J. Kadrmas, and A. Rahmim

Generalized PSF modeling for optimized quantitation in PET imaging

Phys. Med. Biol., vol. 62, pp. 5149-5179, 2017. - I. Shiri, A. Rahmim, P. Ghaffarian, P. Geramifar, H. Abdollahi, and A. Bitarafan-Rajabi

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

European Radiology, vol. 27, pp. 4498-4509, 2017. - B. A. Anderson, H. Kuwabara, D. F. Wong, J. Roberts, A. Rahmim, J. R. Brasic, and S. M. Courtney

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

NeuroImage, vol. 157, pp. 27-33, 2017. - H. K. Zhang, P. Yan, J. Kang, D. Abou, H. N. D. Le, A. K. Jha, D. Thorek, J. Kang, A. Rahmim, D. F. Wong, E. M. Boctor, and L. M. Loew

Listening to membrane potential: photoacoustic voltage-sensitive dye recording

J. Biomed. Optics, vol. 22, pp. 045006, 2017. - J. Tang, X. Wang, X. Gao, P. Segars, M. Lodge, and A. Rahmim

Enhancing ejection fraction measurement through 4D respiratory motion compensation in cardiac PET imaging (also see featured news article @ medicalphysicsweb)

Phys. Med. Biol., vol. 62, pp. 4496–4513, 2017. - N. Ahmadi, M. N. Nasrabadi, A. Karimian, and A. Rahmim

A TLD based method to estimate bowtie filter shape in PET/CT

Intern. J. Rad. Res., vol. 15, pp. 383-390, 2017. - S. K. Gerdekoohi, N. Vosoughi, K. Tanha, M. Asadi, P. Ghafarian, A. Rahmim, and M. R. Ay

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

J. Appl. Clin. Med. Phys., vol. 18, pp. 215-223, 2017. - P. Knoll, A. Rahmim, S. Gültekin, M. Samal, M. Ljungberg, S. Mirzaei, P. Segars, and B. Szczupak

Improved scatter correction with factor analysis for planar and SPECT imaging

Rev. Sci. Instrum., vol. 88, pp. 094303, 2017. - J. Tang, X. Wang, and A. Rahmim

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

Med. Phys., vol. 44, pp. 4536-4547, 2017. - A. K. Jha, E. Mena, B. Caffo, S. Ashrafinia, A. Rahmim, E. Frey, and R. M. Subramaniam

A practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in PET

J. Med. Imag., vol. 4, pp. 011011, 2017. - E. Mena, M. Taghipour, S. Sheikhbahaei, A. K. Jha, A. Rahmim, L. Solnes, and R. M. Subramaniam

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

Clinic. Nucl. Med., vol. 42, p. e227-e234, 2017. - M. Soltani, M. Sefidgar, H. Bazmara, M. E. Casey, R. M. Subramaniam, R. L. Wahl, and A. Rahmim

Spatiotemporal distribution modeling of PET tracer uptake in solid tumors

Ann. Nucl. Med., vol. 31, pp. 109-124, 2017. - N. Zeraatkar, A. Rahmim, S. Sarkar, and M. R. Ay

Development and evaluation of image reconstruction algorithms for a novel desktop SPECT system

Asia Oceania J. Nucl. Med. Biol., vol. 5, pp. 120-133, 2017. - M. Soufi, A. Kamali-Asl, P. Geramifar, and A. Rahmim

A novel framework for automated segmentation and labeling of homogeneous versus heterogeneous lung tumors in [18F]FDG PET imaging

Molec. Imag. Biol., vol. 19, pp. 456-468, 2017.

2016

- A. Rahmim, Y. Salimpour, S. Jain, S. Blinder, I. S. Klyuzhin, G. S. Smith, Z. Mari, and V. Sossi

Application of texture analysis to DAT SPECT imaging: relationship to clinical assessments

NeuroImage: Clinical, vol. 12, pp. e1-e9, 2016. - R. F. Gottesman
*et al.*

The ARIC-PET amyloid imaging study: brain amyloid differences by age, race, sex, and APOE (supplement; also see editorial @ Neurology)

Neurology, vol. 87, pp. 473-480, 2016. - L. Lu, W. Lv, J. Jiang, J. Ma, Q. Feng, A. Rahmim, and W. Chen

Robustness of radiomic features in [11C]Choline and [18F]FDG PET/CT imaging of nasopharyngeal carcinoma: impact of segmentation and discretization (supplement)

Molec. Imag. Biol., vol. 18, pp. 935-945, 2016. - N. A. Karakatsanis, M. E. Casey, M. A. Lodge, A. Rahmim, and H. Zaidi

Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction (also see 1- featured news article @ medicalphysicsweb; 2- top 10 most popular PMB articles in 2016)

Phys. Med. Biol., vol. 61, pp. 5456–5485, 2016. - F. Aalamifar, R. Seifabadi, M. Bernardo, Ayele H. Negussie, B. Turkbey, M. Merino, P. Pinto, A. Rahmim, B. J. Wood, and E. M. Boctor

Ultrasound tomosynthesis: a new paradigm for quantitative imaging of the prostate

Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 577-584, 2016. - N. Zeraatkar, M. H. Farahani, A. Rahmim, S. Sarkar, and M. R. Ay

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

Med. Phys., vol. 43, pp. 2581-2597, 2016. - A. Rahmim, C. R. Schmidtlein, A. Jackson, S. Sheikhbahaei, C. Marcus, S. Ashrafinia, M. Soltani, and R. M. Subramaniam

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

Phys. Med. Biol., vol. 61, pp. 227-242, 2016. - M. Soufi, A. R. Kamali-Asl, P. Geramifar, M. Abdoli, and A. Rahmim

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

Nucl. Med. Comm., vol. 37, 171-181, 2016. - B. A. Anderson, H. Kuwabara, D. F. Wong, E. G. Gean, A. Rahmim, J R. Brasic , N. George, B. Frolov, S. M. Courtney, and S. Yantis

The role of dopamine in value-based attentional orienting (also see commentary @ Johns Hopkins Magazine)

Current Biology, vol. 26, pp. 550-555, 2016. - S. Sheikhbahaei, R. Wray, B. Young, E. Mena, M. Taghipour, A. Rahmim, and R. M. Subramaniam

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

Nucl. Med. Comm., vol. 37, pp. 231-238, 2016. - S. Sheikhbahaei, C. Marcus, R. Wray, A. Rahmim, M. A. Lodge, and R. M. Subramaniam

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

Nucl. Med. Comm., vol. 37, pp. 288-296, 2016. - H. Bazmara, M. Soltani, M. Sefidgar, M. Bazargan, M. Mousavi, A. Rahmim

Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis

Med. Biol. Eng. Comp., vol. 54, pp. 547-558, 2016. - R. Wray, C. Marcus, S. Sheikhbahaei, E. Zan, R. Ferraro, A. Rahmim, and R. M. Subramaniam

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

Am. J. Roentgenology, vol. 207, pp. 641-647, 2016.

2015

- N. A. Karakatsanis, Y. Zhou, M. A. Lodge, M. E. Casey, R. L. Wahl, H. Zaidi, and A. Rahmim

Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET

Phys. Med. Biol., vol. 40, pp. 8643-8673, 2015. - H. Mohy-ud-Din, M. A. Lodge, and A. Rahmim

Quantitative myocardial perfusion PET parametric imaging at the voxel-level

Phys. Med. Biol., vol. 60, pp. 6013-6037, 2015. - H. Mohy-ud-Din, N. A. Karakatsanis, W. Willis, A. K. Tahari, D. F. Wong, and A. Rahmim

Intra-frame motion compensation in multi-frame brain PET imaging

Frontiers in Biomed. Tech., vol. 2, pp. 366-379, 2015. - C. Marcus, A. Antoniou, A. Rahmim, P. Ladenson, and and R. M. Subramaniam

Fluorodeoxyglucose positron emission tomography/computerized tomography in differentiated thyroid cancer management: Importance of clinical justification and value in predicting survival

J. Med. Imag. Rad. Onc., vol. 59, 281-288, 2015. - J. Hossain, Y. Du, J. Links, A. Rahmim, N. Karakatsanis, A. Akhbardeh, J. Lyons, and E. Frey

Estimation of dynamic time activity curves from dynamic cardiac SPECT imaging

Phys. Med. Biol., vol. 60, pp. 3193-3208, 2015. - H. Bazmara, M. Soltani, M. Sefidgar, M. Bazargan, M. Mousavi, A. Rahmim

The vital role of blood flow-induced proliferation and migration in capillary network formation in a multiscale model of angiogenesis

PLoS ONE, vol. 10, pp. e0128878, 2015. - L. Lu, J. Ma, Q. Feng, W. Chen, and A. Rahmim

Anatomy-guided brain PET imaging incorporating a joint prior model

Phys. Med. Biol., vol. 60, pp. 2145-66, 2015. - J. Tang and A. Rahmim

Anatomy assisted PET image reconstruction incorporating multi-resolution joint entropy

Phys. Med. Biol., vol. 60, pp. 31-48, 2015.