Biomedical Research Education & Training
Faculty Member

Yankeelov, Thomas E., Ph.D.
Professor of Radiology and Radiological Sciences
Professor of Cancer Biology
Professor of Physics
Professor of Physics
Ingram Associate Professor of Cancer Research
Professor of Biomedical Engineering

Lab Url:

Phone Number: (615) 322-8354

Email Address:

Yankeelov, Thomas's picture
Academic history

Office Address   Mailing Address

AAA-3113 Medical Center North/VUIIS

1161 21st Avenue South MCN AA-1105 37232-2310

Research Keywords
cancer imaging, MRI, PET, biophysical modeling

Research Specialty
Dr. Yankeelov develops advanced imaging methods for the characterization of human tumors.

Research Description
The requirement to study cancer in its native environment has lead to the development of imaging technologies that can non-invasively and quantitatively interrogate both primary and metastatic disease. This involves mathematical modeling, application of these models in small animal tumors systems, and ultimately applying the most promising techniques in human breast cancer. The overall goal of Dr. Yankeelov's research is to develop advanced imaging methods for the characterization of human tumors and to evaluate their role as potential surrogate biomarkers of treatment responses and tissue status for use in clinical trials and drug discovery.

Abramson, RG, Burton, KR, Yu, JP, Scalzetti, EM, Yankeelov, TE, Rosenkrantz, AB, Mendiratta-Lala, M, Bartholmai, BJ, Ganeshan, D, Lenchik, L, Subramaniam, RM. Methods and Challenges in Quantitative Imaging Biomarker Development. Acad Radiol, 22(1), 25-32, 2015

Abramson, RG, Lambert, KF, Jones-Jackson, LB, Arlinghaus, LR, Williams, J, Abramson, VG, Chakravarthy, AB, Yankeelov, TE. Prone Versus Supine Breast FDG-PET/CT for Assessing Locoregional Disease Distribution in Locally Advanced Breast Cancer. Acad Radiol, 22(7), 853-9, 2015

Baheza, RA, Welch, EB, Gochberg, DF, Sanders, M, Harvey, S, Gore, JC, Yankeelov, TE. Detection of microcalcifications by characteristic magnetic susceptibility effects using MR phase image cross-correlation analysis. Med Phys, 42(3), 1436, 2015

Barnes, SL, Sorace, AG, Loveless, ME, Whisenant, JG, Yankeelov, TE. Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer. NMR Biomed, 28(10), 1345-56, 2015

Conley, RH, Meszoely, IM, Weis, JA, Pheiffer, TS, Arlinghaus, LR, Yankeelov, TE, Miga, MI. Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. Int J Comput Assist Radiol Surg, 2015

Hormuth, DA, Weis, JA, Barnes, SL, Miga, MI, Rericha, EC, Quaranta, V, Yankeelov, TE. Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data. Phys Biol, 12(4), 046006, 2015

Rosenkrantz, AB, Mendiratta-Lala, M, Bartholmai, BJ, Ganeshan, D, Abramson, RG, Burton, KR, Yu, JP, Scalzetti, EM, Yankeelov, TE, Subramaniam, RM, Lenchik, L. Clinical Utility of Quantitative Imaging. Acad Radiol, 22(1), 33-49, 2015

Smith, DS, Li, X, Arlinghaus, LR, Yankeelov, TE, Welch, EB. DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis. PeerJ, 3, e909, 2015

Weis, JA, Flint, KM, Sanchez, V, Yankeelov, TE, Miga, MI. Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer. J Med Imaging (Bellingham), 2(3), 036001, 2015

Weis, JA, Miga, MI, Arlinghaus, LR, Li, X, Abramson, V, Chakravarthy, AB, Pendyala, P, Yankeelov, TE. Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model. Cancer Res, 2015

Williams, JM, Rani, SD, Li, X, Arlinghaus, LR, Lee, TC, MacDonald, LR, Partridge, SC, Kang, H, Whisenant, JG, Abramson, RG, Linden, HM, Kinahan, PE, Yankeelov, TE. Comparison of prone versus supine 18F-FDG-PET of locally advanced breast cancer: Phantom and preliminary clinical studies. Med Phys, 42(7), 3801-13, 2015

Yankeelov, TE, Quaranta, V, Evans, KJ, Rericha, EC. Toward a science of tumor forecasting for clinical oncology. Cancer Res, 75(6), 918-23, 2015

Atuegwu, NC, Li, X, Arlinghaus, LR, Abramson, RG, Williams, JM, Chakravarthy, AB, Abramson, VG, Yankeelov, TE. Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: preliminary results. Med Phys, 41(5), 052302, 2014

Barnes, SL, Quarles, CC, Yankeelov, TE. Modeling the effect of intra-voxel diffusion of contrast agent on the quantitative analysis of dynamic contrast enhanced magnetic resonance imaging. PLoS One, 9(9), e108726, 2014

Bryant, ND, Li, K, Does, MD, Barnes, S, Gochberg, DF, Yankeelov, TE, Park, JH, Damon, BM. Multi-parametric MRI characterization of inflammation in murine skeletal muscle. NMR Biomed, 27(6), 716-25, 2014

Dula, AN, Dewey, BE, Arlinghaus, LR, Williams, JM, Klomp, D, Yankeelov, TE, Smith, S. Optimization of 7-T Chemical Exchange Saturation Transfer Parameters for Validation of Glycosaminoglycan and Amide Proton Transfer of Fibroglandular Breast Tissue. Radiology, 140762, 2014

Fedorov, A, Fluckiger, J, Ayers, GD, Li, X, Gupta, SN, Tempany, C, Mulkern, R, Yankeelov, TE, Fennessy, FM. A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation. Magn Reson Imaging, 32(4), 321-9, 2014

Felix, DD, Gore, JC, Yankeelov, TE, Peterson, TE, Barnes, S, Whisenant, J, Weis, J, Shoukouhi, S, Virostko, J, Nickels, M, McIntyre, JO, Sanders, M, Abramson, V, Tantawy, MN. Detection of breast cancer microcalcification using (99m)Tc-MDP SPECT or Osteosense 750EX FMT imaging. Nucl Med Biol, 2014

Hormuth, DA, Skinner, JT, Does, MD, Yankeelov, TE. A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats. Magn Reson Imaging, 32(4), 397-401, 2014

Huang, W, Li, X, Chen, Y, Li, X, Chang, MC, Oborski, MJ, Malyarenko, DI, Muzi, M, Jajamovich, GH, Fedorov, A, Tudorica, A, Gupta, SN, Laymon, CM, Marro, KI, Dyvorne, HA, Miller, JV, Barbodiak, DP, Chenevert, TL, Yankeelov, TE, Mountz, JM, Kinahan, PE, Kikinis, R, Taouli, B, Fennessy, F, Kalpathy-Cramer, J. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Transl Oncol, 7(1), 153-66, 2014

Li, X, Abramson, RG, Arlinghaus, LR, Kang, H, Chakravarthy, AB, Abramson, VG, Farley, J, Mayer, IA, Kelley, MC, Meszoely, IM, Means-Powell, J, Grau, AM, Sanders, M, Yankeelov, TE. Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer. Invest Radiol, 2014

Li, X, Kang, H, Arlinghaus, LR, Abramson, RG, Chakravarthy, AB, Abramson, VG, Farley, J, Sanders, M, Yankeelov, TE. Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer. Transl Oncol, 7(1), 14-22, 2014

Mountz, JM, Yankeelov, TE, Rubin, DL, Buatti, JM, Erikson, BJ, Fennessy, FM, Gillies, RJ, Huang, W, Jacobs, MA, Kinahan, PE, Laymon, CM, Linden, HM, Mankoff, DA, Schwartz, LH, Shim, H, Wahl, RL. Letter to Cancer Center Directors: Progress in Quantitative Imaging As a Means to Predict and/or Measure Tumor Response in Cancer Therapy Trials. J Clin Oncol, 32(19), 2115-6, 2014

Seeley, EH, Wilson, KJ, Yankeelov, TE, Johnson, RW, Gore, JC, Caprioli, RM, Matrisian, LM, Sterling, JA. Co-registration of multi-modality imaging allows for comprehensive analysis of tumor-induced bone disease. Bone, 61, 208-16, 2014

Whisenant, JG, Ayers, GD, Loveless, ME, Barnes, SL, Colvin, DC, Yankeelov, TE. Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer. Magn Reson Imaging, 32(3), 245-9, 2014

Whisenant, JG, McIntyre, JO, Peterson, TE, Kang, H, S??nchez, V, Manning, HC, Arteaga, CL, Yankeelov, TE. Utility of [(18)???F]FLT-PET to Assess Treatment Response in Trastuzumab-Resistant and Trastuzumab-Sensitive HER2-Overexpressing Human Breast Cancer Xenografts. Mol Imaging Biol, 2014

Whisenant, JG, Sorace, AG, McIntyre, JO, Kang, H, S??nchez, V, Loveless, ME, Yankeelov, TE. Evaluating treatment response using DW-MRI and DCE-MRI in trastuzumab responsive and resistant HER2-overexpressing human breast cancer xenografts. Transl Oncol, 7(6), 768-79, 2014

Wilson, GH, Gore, JC, Yankeelov, TE, Barnes, S, Peterson, TE, True, JM, Shokouhi, S, McIntyre, JO, Sanders, M, Abramson, V, Ngyuen, TQ, Mahadevan-Jansen, A, Tantawy, MN. An Approach to Breast Cancer Diagnosis via PET Imaging of Microcalcifications Using 18F-NaF. J Nucl Med, 55(7), 1138-1143, 2014

Yankeelov, TE, Abramson, RG, Quarles, CC. Quantitative multimodality imaging in cancer research and therapy. Nat Rev Clin Oncol, 11(11), 670-80, 2014

Zhu, H, Arlinghaus, LR, Whisenant, JG, Li, M, Gore, JC, Yankeelov, TE. Sequence design and evaluation of the reproducibility of water-selective diffusion-weighted imaging of the breast at 3???T. NMR Biomed, 2014

Abramson, RG, Li, X, Hoyt, TL, Su, PF, Arlinghaus, LR, Wilson, KJ, Abramson, VG, Chakravarthy, AB, Yankeelov, TE. Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: Preliminary results. Magn Reson Imaging, 2013

Atuegwu, NC, Arlinghaus, LR, Li, X, Chakravarthy, AB, Abramson, VG, Sanders, ME, Yankeelov, TE. Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy. Transl Oncol, 6(3), 256-64, 2013

Klomp, DW, Dula, AN, Arlinghaus, LR, Italiaander, M, Dortch, RD, Zu, Z, Williams, JM, Gochberg, DF, Luijten, PR, Gore, JC, Yankeelov, TE, Smith, SA. Amide proton transfer imaging of the human breast at 7T: development and reproducibility. NMR Biomed, 2013

Li, X, Arlinghaus, LR, Ayers, GD, Chakravarthy, AB, Abramson, RG, Abramson, VG, Atuegwu, N, Farley, J, Mayer, IA, Kelley, MC, Meszoely, IM, Means-Powell, J, Grau, AM, Sanders, M, Bhave, SR, Yankeelov, TE. DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: Pilot study findings. Magn Reson Med, 2013

Smith, DS, Li, X, Abramson, RG, Quarles, CC, Yankeelov, TE, Welch, EB. Potential of compressed sensing in quantitative MR imaging of cancer. Cancer Imaging, 13(4), 633-44, 2013

Weis, JA, Miga, MI, Arlinghaus, LR, Li, X, Chakravarthy, AB, Abramson, V, Farley, J, Yankeelov, TE. A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy. Phys Med Biol, 58(17), 5851-66, 2013

Yankeelov, TE, Atuegwu, N, Hormuth, D, Weis, JA, Barnes, SL, Miga, MI, Rericha, EC, Quaranta, V. Clinically relevant modeling of tumor growth and treatment response. Sci Transl Med, 5(187), 187ps9, 2013

Abramson, RG, Arlinghaus, LR, Weis, JA, Li, X, Dula, AN, Chekmenev, EY, Smith, SA, Miga, MI, Abramson, VG, Yankeelov, TE. Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy. Breast Cancer (London), 2012(4), 139-154, 2012

Barnes, SL, Whisenant, JG, Loveless, ME, Ayers, GD, Yankeelov, TE. Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer. Magn Reson Med, 2012

Barnes, SL, Whisenant, JG, Loveless, ME, Yankeelov, TE. Practical Dynamic Contrast Enhanced MRI in Small Animal Models of Cancer: Data Acquisition, Data Analysis, and Interpretation. Pharmaceutics, 4(3), 442-478, 2012

Dula, AN, Arlinghaus, LR, Dortch, RD, Dewey, BE, Whisenant, JG, Ayers, GD, Yankeelov, TE, Smith, SA. Amide proton transfer imaging of the breast at 3 T: Establishing reproducibility and possible feasibility assessing chemotherapy response. Magn Reson Med, 2012

Li, X, Abramson, RG, Arlinghaus, LR, Chakravarthy, AB, Abramson, V, Mayer, I, Farley, J, Delbeke, D, Yankeelov, TE. An algorithm for longitudinal registration of PET/CT images acquired during neoadjuvant chemotherapy in breast cancer: preliminary results. EJNMMI Res, 2(1), 62, 2012

Loveless, ME, Lawson, D, Collins, M, Nadella, MV, Reimer, C, Huszar, D, Halliday, J, Waterton, JC, Gore, JC, Yankeelov, TE. Comparisons of the efficacy of a Jak1/2 inhibitor (AZD1480) with a VEGF signaling inhibitor (cediranib) and sham treatments in mouse tumors using DCE-MRI, DW-MRI, and histology. Neoplasia, 14(1), 54-64, 2012 PMCID:3281942

Quarles, CC, Gore, JC, Xu, L, Yankeelov, TE. Comparison of dual-echo DSC-MRI- and DCE-MRI-derived contrast agent kinetic parameters. Magn Reson Imaging, 2012

Skinner, JT, Yankeelov, TE, Peterson, TE, Does, MD. Comparison of dynamic contrast-enhanced MRI and quantitative SPECT in a rat glioma model. Contrast Media Mol Imaging, 7(6), 494-500, 2012

Smith, DS, Gore, JC, Yankeelov, TE, Welch, EB. Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. Int J Biomed Imaging, 2012, 864827, 2012 PMCID:3296267

Smith, DS, Li, X, Gambrell, JV, Arlinghaus, LR, Quarles, CC, Yankeelov, TE, Welch, EB. Robustness of quantitative compressive sensing MRI: the effect of random undersampling patterns on derived parameters for DCE- and DSC-MRI. IEEE Trans Med Imaging, 31(2), 504-11, 2012 PMCID:3243164

Whisenant, JG, Peterson, TE, Fluckiger, JU, Tantawy, MN, Ayers, GD, Yankeelov, TE. Reproducibility of Static and Dynamic (18)F-FDG, (18)F-FLT, and (18)F-FMISO MicroPET Studies in a Murine Model of HER2+ Breast Cancer. Mol Imaging Biol, 2012

Yankeelov, TE. Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer. ISRN Biomath, 2012, 2012

Yankeelov, TE, Gore, JC. Preface to the special issue on quantitative imaging in cancer. Magn Reson Imaging, 30(9), 1201-2, 2012

Yankeelov, TE, Peterson, TE, Abramson, RG, Garcia-Izquierdo, D, Arlinghaus, LR, Li, X, Atuegwu, NC, Catana, C, Manning, HC, Fayad, ZA, Gore, JC. Simultaneous PET-MRI in oncology: a solution looking for a problem. Magn Reson Imaging, 2012

Arlinghaus, LR, Li, X, Rahman, AR, Welch, EB, Xu, L, Gore, JC, Yankeelov, TE. On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer. Magn Reson Imaging, 29(5), 630-8, 2011

Arlinghaus, LR, Welch, EB, Chakravarthy, AB, Xu, L, Farley, JS, Abramson, VG, Grau, AM, Kelley, MC, Mayer, IA, Means-Powell, JA, Meszoely, IM, Gore, JC, Yankeelov, TE. Motion correction in diffusion-weighted MRI of the breast at 3T. J Magn Reson Imaging, 33(5), 1063-70, 2011

Atuegwu, NC, Arlinghaus, LR, Li, X, Brianwelch, E, Chakravarthy, BA, Gore, JC, Yankeelov, TE. Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy. Magn Reson Med, 2011

Atuegwu, NC, Colvin, DC, Loveless, ME, Xu, L, Gore, JC, Yankeelov, TE. Incorporation of diffusion-weighted magnetic resonance imaging data into a simple mathematical model of tumor growth. Phys Med Biol, 57(1), 225-240, 2011

Gore, JC, Manning, HC, Quarles, CC, Waddell, KW, Yankeelov, TE. Magnetic resonance in the era of molecular imaging of cancer. Magn Reson Imaging, 29(5), 587-600, 2011

Li, X, Welch, EB, Arlinghaus, LR, Chakravarthy, AB, Xu, L, Farley, J, Loveless, ME, Mayer, IA, Kelley, MC, Meszoely, IM, Means-Powell, JA, Abramson, VG, Grau, AM, Gore, JC, Yankeelov, TE. A novel AIF tracking method and comparison of DCE-MRI parameters using individual and population-based AIFs in human breast cancer. Phys Med Biol, 56(17), 5753-69, 2011

Li, X, Welch, EB, Chakravarthy, AB, Xu, L, Arlinghaus, LR, Farley, J, Mayer, IA, Kelley, MC, Meszoely, IM, Means-Powell, J, Abramson, VG, Grau, AM, Gore, JC, Yankeelov, TE. Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer. Magn Reson Med, 2011

Loveless, ME, Halliday, J, Liess, C, Xu, L, Dortch, RD, Whisenant, J, Waterton, JC, Gore, JC, Yankeelov, TE. A quantitative comparison of the influence of individual versus population-derived vascular input functions on dynamic contrast enhanced-MRI in small animals. Magn Reson Med, 2011

Mani, S, Chen, Y, Arlinghaus, LR, Li, X, Chakravarthy, AB, Bhave, SR, Welch, EB, Levy, MA, Yankeelov, TE. Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning. AMIA Annu Symp Proc, 2011, 868-77, 2011 PMCID:3243164

Smith, DS, Welch, EB, Li, X, Arlinghaus, LR, Loveless, ME, Koyama, T, Gore, JC, Yankeelov, TE. Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI. Phys Med Biol, 56(15), 4933-46, 2011

Yankeelov, TE, Arlinghaus, LR, Li, X, Gore, JC. The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer. Semin Oncol, 38(1), 16-25, 2011

Atuegwu, NC, Gore, JC, Yankeelov, TE. The integration of quantitative multi-modality imaging data into mathematical models of tumors. Phys Med Biol, 55(9), 2429-2449, 2010

Colvin, DC, Loveless, ME, Does, MD, Yue, Z, Yankeelov, TE, Gore, JC. Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients. Magn Reson Imaging, 2010

Gore, JC, Xu, J, Colvin, DC, Yankeelov, TE, Parsons, EC, Does, MD. Characterization of tissue structure at varying length scales using temporal diffusion spectroscopy. NMR Biomed, 2010

Li, X, Dawant, BM, Welch, EB, Chakravarthy, AB, Xu, L, Mayer, I, Kelley, M, Meszoely, I, Means-Powell, J, Gore, JC, Yankeelov, TE. Validation of an algorithm for the nonrigid registration of longitudinal breast MR images using realistic phantoms. Med Phys, 37(6), 2541-52, 2010

Yankeelov, TE, Atuegwu, NC, Deane, NG, Gore, JC. Modeling tumor growth and treatment response based on quantitative imaging data. Integr Biol (Camb), 2010

Bevers TB, Anderson BO, Bonaccio E, Buys S, Daly MB, Dempsey PJ, Farrar WB, Fleming I, Garber JE, Harris RE, Heerdt AS, Helvie M, Huff JG, Khakpour N, Khan SA, Krontiras H, Lyman G, Rafferty E, Shaw S, Smith ML, Tsangaris TN, Williams C, Yankeelov T.. NCCN Clinical Practice Guidelines in Oncology: Breast Cancer Screening and Diagnosis.. J Natl Compr Canc Netw, 7(10), 1060-96, 2009

Dortch, RD, Yankeelov, TE, Yue, Z, Quarles, CC, Gore, JC, Does, MD. Evidence of multiexponential T(2) in rat glioblastoma. NMR Biomed, 2009

Gore, JC, Yankeelov, TE, Peterson, TE, Avison, MJ. Molecular Imaging Without Radiopharmaceuticals. J Nucl Med, 50(6), 999-1007, 2009 PMCID:2719757

Li, X, Dawant, BM, Welch, EB, Chakravarthy, AB, Freehardt, D, Mayer, I, Kelley, M, Meszoely, I, Gore, JC, Yankeelov, TE. A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response. Magn Reson Imaging, 2009

Loveless, ME, Whisenant, JG, Wilson, K, Lyshchik, A, Sinha, TK, Gore, JC, Yankeelov, TE. Coregistration of ultrasonography and magnetic resonance imaging with a preliminary investigation of the spatial colocalization of vascular endothelial growth factor receptor 2 expression and tumor perfusion in a murine tumor model. Mol Imaging, 8(4), 187-98, 2009 PMCID:2739085

Planey, CR, Welch, EB, Xu, L, Chakravarthy, AB, Gatenby, JC, Freehardt, D, Mayer, I, Meszeoly, I, Kelley, M, Means-Powell, J, Gore, JC, Yankeelov, TE. Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer. J Magn Reson Imaging, 30(1), 121-34, 2009

Quarles, CC, Gochberg, DF, Gore, JC, Yankeelov, TE. A theoretical framework to model DSC-MRI data acquired in the presence of contrast agent extravasation. Phys Med Biol, 54(19), 5749-5766, 2009

Yankeelov, TE, Avison, MJ, Damon, BM, Manning, HC, Peterson, TE, Gore, JC. Frontiers of Biomedical Imaging Science 2009: Workshop Report and Research Opportunities. Cancer Res, 2009

Yankeelov, TE, Gore, JC. Has quantitative multimodal imaging of treatment response arrived. Clin Cancer Res, 15(21), 6473-5, 2009

Colvin, DC, Yankeelov, TE, Does, MD, Yue, Z, Quarles, C, Gore, JC. New insights into tumor microstructure using temporal diffusion spectroscopy. Cancer Res, 68(14), 5941-7, 2008 PMCID:2719758

Faranesh, AZ, Yankeelov, TE. Incorporating a vascular term into a reference region model for the analysis of DCE-MRI data: a simulation study. Phys Med Biol, 53(10), 2617-31, 2008

Lee, RE, Welch, EB, Cobb, JG, Sinha, T, Gore, JC, Yankeelov, TE. Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer. J Digit Imaging, 2008

Li, X, Yankeelov, TE, Peterson, TE, Gore, JC, Dawant, BM. Automatic nonrigid registration of whole body CT mice images. Med Phys, 35(4), 1507-20, 2008 PMCID:2673624

Li, X, Yankeelov, TE, Rosen, GD, Gore, JC, Dawant, BM. Enhancement of histological volumes through averaging and their use for the analysis of magnetic resonance images. Magn Reson Imaging, 2008 PMCID:2690703

Loveless, ME, Li, X, Huamani, J, Lyshchik, A, Dawant, B, Hallahan, D, Gore, JC, Yankeelov, TE. A method for assessing the microvasculature in a murine tumor model using contrast-enhanced ultrasonography. J Ultrasound Med, 27(12), 1699-709, 2008 PMCID:2649799

Ou, JJ, Ong, RE, Yankeelov, TE, Miga, MI. Evaluation of 3D modality-independent elastography for breast imaging: a simulation study. Phys Med Biol, 53(1), 147-63, 2008

Quarles, CC, Lepage, M, Gorden, DL, Fingleton, B, Yankeelov, TE, Price, RR, Matrisian, LM, Gore, JC, McIntyre, JO. Functional colonography of Min mice using dark lumen dynamic contrast-enhanced MRI. Magn Reson Med, 60(3), 718-26, 2008 PMCID:2646120

Sinha, TK, Khatib-Shahidi, S, Yankeelov, TE, Mapara, K, Ehtesham, M, Cornett, DS, Dawant, BM, Caprioli, RM, Gore, JC. Integrating spatially resolved three-dimensional MALDI IMS with in vivo magnetic resonance imaging. Nat Methods, 5(1), 57-9, 2008 PMCID:2649801

Yankeelov, TE, Luci, JJ, Debusk, LM, Lin, PC, Gore, JC. Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: Theory, simulations, and experimental results. Magn Reson Med, 59(2), 326-35, 2008 PMCID:2692327

Niermann, KJ, Fleischer, AC, Huamani, J, Yankeelov, TE, Kim, DW, Wilson, WD, Hallahan, DE. Measuring tumor perfusion in control and treated murine tumors: correlation of microbubble contrast-enhanced sonography to dynamic contrast-enhanced magnetic resonance imaging and fluorodeoxyglucose positron emission tomography. J Ultrasound Med, 26(6), 749-56, 2007

Pellerin, M, Yankeelov, TE, Lepage, M. Incorporating contrast agent diffusion into the analysis of DCE-MRI data. Magn Reson Med, 58(6), 1124-34, 2007

Yankeelov TE and Gore JC. Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition,Analysis, and Examples. Curent Medical Imaging Reviews, 3(2), 91-107, 2007

Yankeelov, TE, Cron, GO, Addison, CL, Wallace, JC, Wilkins, RC, Pappas, BA, Santyr, GE, Gore, JC. Comparison of a reference region model with direct measurement of an AIF in the analysis of DCE-MRI data. Magn Reson Med, 57(2), 353-361, 2007

Yankeelov, TE, Lepage, M, Chakravarthy, A, Broome, EE, Niermann, KJ, Kelley, MC, Meszoely, I, Mayer, IA, Herman, CR, McManus, K, Price, RR, Gore, JC. Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging, 25(1), 1-13, 2007 PMCID:2634832

Zhang, Z, Ramirez, NE, Yankeelov, TE, Li, Z, Ford, LE, Qi, Y, Pozzi, A, Zutter, MM. {alpha}2{beta}1 integrin expression in the tumor microenvironment enhances tumor angiogenesis in a tumor-cell specific manner. Blood, 2007 PMCID:2234046

Kim, DW, Huamani, J, Niermann, KJ, Lee, H, Geng, L, Leavitt, LL, Baheza, RA, Jones, CC, Tumkur, S, Yankeelov, TE, Fleischer, AC, Hallahan, DE. Noninvasive assessment of tumor vasculature response to radiation-mediated, vasculature-targeted therapy using quantified power Doppler sonography: implications for improvement of therapy schedules. J Ultrasound Med, 25(12), 1507-17, 2006

Yankeelov, TE, DeBusk, LM, Billheimer, DD, Luci, JJ, Lin, PC, Price, RR, Gore, JC. Repeatability of a reference region model for analysis of murine DCE-MRI data at 7T. J Magn Reson Imaging, 24(5), 1140-7, 2006

Yankeelov, TE, Niermann, KJ, Huamani, J, Kim, DW, Quarles, CC, Fleischer, AC, Hallahan, DE, Price, RR, Gore, JC. Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging. J Ultrasound Med, 25(4), 487-97, 2006

Li, X, Huang, W, Yankeelov, TE, Tudorica, A, Rooney, WD, Springer, CS. Shutter-speed analysis of contrast reagent bolus-tracking data: Preliminary observations in benign and malignant breast disease. Magn Reson Med, 53(3), 724-9, 2005

Yankeelov, TE, Luci, JJ, Lepage, M, Li, R, Debusk, L, Lin, PC, Price, RR, Gore, JC. Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model. Magn Reson Imaging, 23(4), 519-29, 2005

Yankeelov, TE, Rooney, WD, Huang, W, Dyke, JP, Li, X, Tudorica, A, Lee, JH, Koutcher, JA, Springer, CS. Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology. NMR Biomed, 18(3), 173-85, 2005

Fleischer, AC, Niermann, KJ, Donnelly, EF, Yankeelov, TE, Canniff, KM, Hallahan, DE, Rothenberg, ME. Sonographic depiction of microvessel perfusion: principles and potential. J Ultrasound Med, 23(11), 1499-506, 2004

Zhou, R, Pickup, S, Yankeelov, TE, Springer, CS, Glickson, JD. Simultaneous measurement of arterial input function and tumor pharmacokinetics in mice by dynamic contrast enhanced imaging: effects of transcytolemmal water exchange. Magn Reson Med, 52(2), 248-57, 2004

Yankeelov TE, Rooney WD, Li X, Springer CS Jr.. Variation of the relaxographic "shutter-speed" for transcytolemmal water exchange affects the CR bolus-tracking curve shape. Magn Reson Med, 50(6), 1151-69, 2003

Postdoctoral Position Available

Postdoctoral Position Details
Please contact Dr. Yankeelov for both pre-clinical and clinical research opportunities in quantitative imaging of breast cancer.

Updated Date