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Home Tipirneni-Sajja MRIS Lab Publications

Publications

Journals

  1. Shrestha U, Esparza J, Satapathy D, Vanatta J, Abramson Z, Tipirneni-Sajja A*. Hepatic Steatosis Modeling and MRI Signal Simulations for Comparison of Single-and Dual-R2* Models and Estimation of Fat Fraction at 1.5 T and 3T. Computers in Biology and Medicine. 2024;108448. doi: https://doi.org/10.1016/j.compbiomed.2024.108448
  2. Biswas S, Cohen H L, Tipirneni-Sajja A, Shrestha U, Sandhu P K*. 2024. Comparison of contrast-enhanced voiding urosonography using second-generation contrast agents and voiding cystourethrogram. Chinese Journal of Academic Radiology. 2024;pp.1-8. doi: https://doi.org/10.1007/s42058-024-00149-w
  3. Neupane P, Shrestha U, Brasher S, Abramson Z, Tipirneni‐Sajja A*. Simulation of a virtual liver iron overload model and R2* estimation using multispectral fat–water models for GRE and UTE acquisitions at 1.5 T and 3 T. NMR in Biomedicine. 2023;e5018. doi: https://doi.org/10.1002/nbm.5018
  4. Johnson H, Puppa M, van der Merwe M, Tipirneni‐Sajja A*. Rapid and automated lipid profiling by nuclear magnetic resonance spectroscopy using neural networks. NMR in Biomedicine. 2023;e5010. doi: https://doi.org/10.1002/nbm.5010
  5. Tipirneni-Sajja A*, Brasher S, Shrestha U, Johnson H, Morin C, Satapathy S K. Quantitative MRI of diffuse liver diseases: techniques and tissue-mimicking phantoms. Magnetic Resonance Materials in Physics, Biology and Medicine. 2022;1-23. doi: https://doi.org/10.1007/s10334-022-01053-z
  6. Esparza J, Shrestha U, Kleiner D E, Crawford J M, Vanatta J, Satapathy S, Tipirneni-Sajja, A*. Automated Segmentation and Morphological Characterization of Hepatic Steatosis and Correlation with Histopathology. Journal of Clinical and Experimental Hepatology. 2022. https://doi.org/10.1016/j.jceh.2022.12.003
  7. Johnson H, Yates T, Leedom G, Ramanathan C, Puppa M, van der Merwe M, Tipirneni-Sajja A*. Multi-Tissue Time-Domain NMR Metabolomics Investigation of Time-Restricted Feeding in Male and Female Nile Grass Rats. Metabolites. 2022;12(7):657. doi: https://doi.org/10.3390/metabo12070657
  8. Mankel K, Shrestha U, Tipirneni-Sajja A, Bidelman GM. Functional plasticity coupled with structural predispositions in auditory cortex shape successful music category learning. Front. Neurosci., 28 June 2022. doi: https://doi.org/10.3389/fnins.2022.897239
  9. Ramanathan C, Johnson H, Sharma S, Son W, Puppa M, Rohani SN, Tipirneni-Sajja A*, Bloomer RJ, van der Merwe M. Early Time-Restricted Feeding Amends Circadian Clock Function and Improves Metabolic Health in Male and Female Nile Grass Rats. Medicines (Basel). 2022 Feb 21;9(2):15. doi: 10.3390/medicines9020015. PMID: 35200758; PMCID: PMC8877212.
  10. Rohani SC, Morin CE, Zhong X, Kannengiesser S, Shrestha U, Goode C, Holtrop J, Khan A, Loeffler RB, Hankins JS, Hillenbrand CM, Tipirneni‐Sajja A. Hepatic Iron Quantification Using a Free‐Breathing 3D Radial Gradient Echo Technique and Validation With a 2D Biopsy‐Calibrated R2* Relaxometry Method. Journal of Magnetic Resonance Imaging 2021. https://doi.org/10.1002/jmri.27921
  11. Tipirneni‐Sajja A, Loeffler RB, Hankins JS, Morin C, Hillenbrand CM. Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload. J Magn Reson Imaging 2021. https://doi.org/10.1002/jmri.27584
  12. Shrestha U, van der Merwe M, Kumar N, Jacobs E, Satapathy SK, Morin C, Tipirneni-Sajja A. Morphological characterization of hepatic steatosis and Monte Carlo modeling of MRI signal for accurate quantification of fat fraction and relaxivity. NMR in Biomedicine 2021: e4489. https://doi.org/10.1002/nbm.4489
  13. Johnson H, Puppa M, van der Merwe M, Tipirneni‐Sajja A. CRAFT for NMR lipidomics: Targeting lipid metabolism in leucine‐supplemented tumor‐bearing mice. Magnetic Resonance in Chemistry 2021; 59(2), 138-146. https://doi.org/10.1002/mrc.5092
  14. Puri L, Flanagan JM, Kang G, Ding J, Bi W, McCarville BM, Loeffler RB, Tipirneni-Sajja A, Villavicencio M, Crews KR, Hillenbrand CM. GSTM1 and liver iron content in children with sickle cell anemia and iron overload. Journal of clinical medicine. 2019 Nov;8(11):1878.
  15. Tipirneni‐Sajja A, Krafft AJ, Loeffler RB, Song R, Bahrami A, Hankins JS, Hillenbrand CM. Autoregressive moving average modeling for hepatic iron quantification in the presence of fat. Journal of Magnetic Resonance Imaging. 2019 Nov;50(5):1620-32.
  16. Tipirneni‐Sajja A, Loeffler RB, Krafft AJ, Sajewski AN, Ogg RJ, Hankins JS, Hillenbrand CM. Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data. Journal of Magnetic Resonance Imaging. 2019 May;49(5):1475-88.
  17. Tipirneni-Sajja A, Song R, McCarville MB, Loeffler RB, Hankins JS, Hillenbrand CM. Automated Vessel Exclusion Technique for Quantitative Assessment of Hepatic Iron Overload by R2*-MRI. J Magn Reson Imaging 2018 Jun;47(6):1542-1551.
  18. Tipirneni-Sajja A, Krafft AJ, McCarville MB, Loeffler RB, Song R, Hankins JS, Hillenbrand CM. Radial UTE Imaging Removes the Need for Breath-holding in Hepatic Iron Overload Quantification by R2*-MRI. American Journal of Roentgenology 2017 Jul; 209(1):187-194.
  19. Krafft AJ, Loeffler RB, Song R, Tipirneni-Sajja A, McCarville MB, Robson MD, Hankins JS, Hillenbrand CM. Quantitative Ultrashort Echo Time Imaging for Assessment of Massive Iron Overload at 1.5 and 3 Tesla. Magn Reson Med 2017; 78(5):1839-1851.
  20. Tipirneni-Sajja A, Christensen S, Straka M, Inoue M, Lansberg MG, Mlynash M, Bammer R, Parsons MW, Donnan GA, Davis SM, Albers GW. Prediction of Final Infarct Volume on Subacute MRI by Quantifying Cerebral Edema in Ischemic Stroke. J Cereb Blood Flow Metab. 2017; 37(8):3077-3084.
  21. Tipirneni-Sajja A, Loeffler RB, Oesingmann N, Bissler J, Song R, McCarville B, Jones DP, Hudson M, Spunt SL, Hillenbrand CM. Measurement of glomerular filtration rate by dynamic contrast-enhanced magnetic resonance imaging using a subject-specific two-compartment model. Physiol Rep. 2016 Apr; 4(7).
  22. Wheeler HM, Mlynash M, Inoue M, Tipirneni A, Liggins J, Bammer R, Lansberg MG, Kemp S, Zaharchuk G, Straka M, Albers GW; DEFUSE 2 Investigators. The growth rate of early DWI lesions is highly variable and associated with penumbral salvage and clinical outcomes following endovascular reperfusion. Int J Stroke 2015; 10(5):723-9.
  23. Inoue M, Mlynash M, Christensen S, Wheeler HM, Straka M, Tipirneni A, Kemp SM, Zaharchuk G, Olivot JM, Bammer R, Lansberg MG, Albers GW; DEFUSE 2 Investigators. Early diffusion-weighted imaging reversal after endovascular reperfusion is typically transient in patients imaged 3 to 6 hours after onset. Stroke. 2014 Apr; 45(4):1024-8.
  24. Inoue M, Mlynash M, Straka M, Kemp S, Jovin TG, Tipirneni A, Hamilton SA, Marks MP, Bammer R, Lansberg MG, Albers GW, et al. Clinical outcomes strongly associated with the degree of reperfusion achieved in target mismatch patients: pooled data from the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution studies. Stroke. 2013 Jul; 44(7):1885-90.
  25. Wheeler HM, Mlynash M, Inoue M, Tipirneni A, Liggins J, Zaharchuk G, Straka M, Kemp S, Bammer R, Lansberg MG, Albers GW, et al. Early diffusion-weighted imaging and perfusion-weighted imaging lesion volumes forecast final infarct size in DEFUSE 2. Stroke. 2013 Mar;44(3):681-5
  26. Lansberg MG, Straka M, Kemp S, Mlynash M, Wechsler LR, Jovin TG, Wilder MJ, Lutsep HL, Czartoski TJ, Bernstein RA, Chang CW, Warach S, Fazekas F, Inoue M, Tipirneni A, Hamilton SA, Zaharchuk G, Marks MP, Bammer R, Albers GW; for the DEFUSE 2 study investigators. MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study. Lancet Neurol., 2012 Oct; 11:860:867
  27. Song R, Tipirneni A, Loeffler RB, Hillenbrand CM. Evaluation of respiratory liver and kidney movements for MRI navigator gating. J Magn Reson Imaging 2011; 33:143–148.

Conference Proceedings

  1. Shrestha U, Esparza J, Satapathy S, Vanatta J, Tipirneni-Sajja A*. Comparing the accuracy of single- and dual-R2* fat-water models for assessing hepatic steatosis and iron overload using Monte Carlo simulations. Proc Intl Soc Mag Reson Med 2023.
  2. Shrestha U, Morin C, Loeffler R, Abramson Z, Hankins J, Hillenbrand C, Tipirneni-Sajja A*. Automatic Extraction of Liver Parenchyma and R2* Estimation using Deep Learning for UTE Imaging for Assessment of Hepatic Iron Overload. Proc Intl Soc Mag Reson Med 2023.
  3. Esparza J, Morin C, Goode C, Abramson Z, Tipirneni-Sajja A*. Comparison of Single-Slice Liver R2* Estimation with FerriSmart for Assessment of Hepatic Iron Overload. Proc Intl Soc Mag Reson Med 2023.
  4. Neupane P, Shrestha U, Tipirneni-Sajja A*. R2* Estimation by Multispectral Fat-Water Models for GRE and UTE Acquisitions Using Virtual Liver Iron Overload Model and Monte Carlo Simulations. Proc Intl Soc Mag Reson Med 2023.
  5. Brasher S, Chan A, Khan A, Abramson, Z, Morin C, Tipirneni-Sajja A*. Impact of Iron Particle Sizes on R2* Estimation in Phantoms Mimicking Hepatic Iron Overload and Steatosis Using MRI. Proc Intl Soc Mag Reson Med 2023.
  6. Johnson H, Tipirneni-Sajja A*. NMR Metabolite Quantification by Neural Networks Using Explainable AI Approach. Experimental Nuclear Magnetic Resonance Conference 2023.
  7. Johnson H, Tipirneni-Sajja A*. Real-Time, High-throughput Lipid Quantification for NMR Metabolomics Using a Neural Network Approach. Metabolomics Association of North America 2022.
  8. Yates T, Johnson H, Tipirneni-Sajja A*. Examining the Renal Lipidomic Effects of High-fat Diet and Sex in Nile Grass Rats using NMR Spectroscopy. Metabolomics Association of North America 2022
  9. Johnson H, Tipirneni-Sajja A*. Neural Network for Lipid Profile Determination from Time-domain NMR Data. Experimental Nuclear Magnetic Resonance 2022. 
  10. Johnson H, Yates T, Ramanathan C, Puppa M, van der Merwe M, Tipirneni-Sajja A*. Time-domain NMR lipid profiling for investigating time-restricted feeding and metabolic sexual dimorphism in Nile grass rats. Proc Intl Soc Mag Reson Med 2022.
  11. Brasher S, Morin C, Tipirneni-Sajja A*. Impact of Fat Droplet Sizes on R2* in Fat-Iron phantoms for Accurate Assessment of Hepatic Steatosis and Iron Overload Using MRI. Proc Intl Soc Mag Reson Med 2022.
  12. Neupane P, Shrestha U, Tipirneni-Sajja A*. Simulation of a Virtual Liver Iron-Overload Model and Estimation of R2* Using Complex Fat-Water Models. Proc Intl Soc Mag Reson Med 2022.
  13. Shrestha U, Esparza J, Satapathy S, Vanatta J, Tipirneni-Sajja A*. Comparison of Single-R2* and Dual-R2* Relaxivity and FF Prediction Using Monte Carlo Simulations and Hepatic Fat Droplet Characterization. Proc Intl Soc Mag Reson Med 2022.
  14. Shrestha U, Esparza J, Satapathy S, Vanatta J, Tipirneni-Sajja A*. Combined Effect of Iron Overload and Steatosis on Liver R2* Using Morphological Modeling and MRI Signal Synthesis via Monte Carlo Simulations. Proc Intl Soc Mag Reson Med 2022.
  15. Johnson H, Ramanathan C, Puppa M, Rohani SN, van der Merwe M, Tipirneni-Sajja A*. Robust and reproducible time-domain NMR metabolomics of hepatic tissues using CRAFT. Metabolomics
    Association of North America 2021.
  16. Johnson H, Puppa M, van der Merwe M, Tipirneni-Sajja A*. CRAFT for Time-Domain Quantification of Aqueous Hepatic Metabolites. Experimental Nuclear Magnetic Resonance Conference 2021.
  17. Shrestha U, van der Merwe M, Kumar N, Jacobs E, Satapathy SK, Morin C, Tipirneni-Sajja A*. Stereological Modeling of Hepatic Steatosis and Estimating Independent R2* for Water and Fat using Monte Carlo Simulations. Proc Intl Soc Mag Reson Med 2021.
  18. Rohani SC, Morin C, Kannengiesser S, Holtrop J, Khan A, Loeffler R, Hillenbrand C, Hankins J, Tipirneni-Sajja A*. Hepatic iron quantification Using a Free-breathing 3D Radial Dixon Technique and Validation with a 2D GRE Biopsy Calibration. Proc Intl Soc Mag Reson Med 2021.
  19. Shrestha U, van der Merwe M, Kumar N, Tipirneni-Sajja A. Automated Segmentation and Characterization of Lipid Droplets in Hepatic Steatosis. 36th Sothern Biomedical Engineering Conference (SBEC) 2020. 
  20. Yunis O, Kazmi S, Courtney J, Tipirneni-Sajja A, Wilson T, Gray R, Goodin G. Effect of Thinner Slice Reconstruction on Detectability of Small, Low-contrast Targets in Heterogeneous Anthropomorphic Pediatric CT Head Phantom. Biomedical Engineering Society Meeting 2020.
  21. Johnson H, Puppa M, van der Merwe M, Tipirneni-Sajja A*. CRAFT for NMR lipidomics: Targeting lipid metabolism in leucine-supplemented tumor-bearing mice. Metabolomics Association of North America 2020.
  22. Tipirneni-Sajja A, Loeffler RB, Hankins JS, Hillenbrand CM. Quantitative Susceptibility Mapping using a Multi-spectral ARMA Model for Assessment of Hepatic Iron Overload. Proc Intl Soc Mag Reson Med 2020
  23. Loeffler RB, McCarville MB, Tipirneni-Sajja A, Hankins JS, Hillenbrand CM. Automated MR HIC Determination using Deep Learning and Frangi Filters. Proc Intl Soc Mag Reson Med 2020.
  24. Guyton WC, Jacobs E, Tipirneni-Sajja A*. Hepatic Iron Modeling Using Monte Carlo Simulations. Proceedings of the National Conferences on Undergraduate Research 2020.
  25. Shrestha U, van der Merwe M, Kumar N, Tipirneni-Sajja A*. Automated Segmentation and Characterization of Lipid Droplets in Hepatic Steatosis. 36th Southern Biomedical Engineering Conference 2020.
  26. Johnson H, Pham T, Puppa M, Tipirneni-Sajja A*. Examining the Lipidomic Effects of Leucine Supplementation in Mice Inoculated with Lewis Lung Carcinoma. Metabolomics Association of North America 2019.
  27. Thamizharasan G, Russell A, Beinkampen J, Holtrop J, Williams J, Tipirneni-Sajja A*. Magnetic Resonance Elastography Phantoms to Mimic Liver Tissue Stiffness and Validation with Uniaxial Compression Test. Biomedical Engineering Society Meeting 2019.
  28. Tipirneni-Sajja A, Hillenbrand CM. Quantitative Susceptibility Mapping Using ARMA Field Map for Assessment of Hepatic Iron Overload. Biomedical Engineering Society Meeting 2018.
  29. Tipirneni-Sajja A, Song R, McCarville MB, Loeffler RB, Hankins JS, Hillenbrand CM. Automated Vessel Exclusion on Free-Breathing Ultrashort Echo Time Imaging For Assessment of Hepatic Iron Overload By R2*-MRI. International Pediatric Radiology Conjoint Meeting 2018.
  30. Tipirneni-Sajja A, Loeffler RB, Sajewski AN, Hankins JS, Hillenbrand CM. Ultra-short Echo Time Imaging for Quantification of Hepatic Iron Overload: Comparison of Current Acquisition and Fitting Methods via Simulations and Phantom Data. Proc Intl Soc Mag Reson Med 2018.
  31. Tipirneni-Sajja A, Song R, McCarville MB, Loeffler RB, Hankins JS, Hillenbrand CM. Assessment of Hepatic Iron Content by an Automatic Vessel Exclusion Technique in Patients with Iron Overload. Proc Intl Soc Mag Reson Med 2017.
  32. Tipirneni-Sajja A, Kercher EM, Loeffler RB, Song R, Robson MD, McCarville MB, Hankins JS, Hillenbrand CM. Does T1 Mapping Provide Additional Information in the Context of Hepatic Iron Overload. Proc Intl Soc Mag Reson Med 2017.
  33. Tipirneni-Sajja A, Krafft AJ, Taylor B, Loeffler RB, Song R, Artz N, Hankins JS, Hillenbrand CM. Simultaneous Iron and Fat Quantification Using an Auto Regressive Moving Average Model at 1.5T and 3T. Proc Intl Soc Mag Reson Med 2017.
  34. Puri L, Hankins JS, Hillenbrand CM, Flanagan J, Kang G, Bi W, Tipirneni-Sajja A, Villavicencio M, Loeffler RB. Genetic Modifiers of Iron Overload in Sickle Cell Disease. The American Society of Pediatric Hematology/Oncology (ASPHO) 2017.
  35. Tipirneni-Sajja A, McCarville B, Krafft AJ, Loeffler RB, Song R, Goode C, Fortner G, Hankins JS, Hillenbrand CM. Assessment of Free-breathing R2*-UTE for Hepatic Iron Content Quantification in a Sedated Pediatric Cohort. Society of Pediatric Radiology 2016.
  36. Song R, Loeffler RB, Tipirneni-Sajja A, Winchell AM, McCarville MB, Hudson M, Spunt SL, Hillenbrand CM. Renal Perfusion by ASL Is Associated with GFR in Long-Term Survivors of Wilms’ Tumor. International Society of Magnetic Resonance in Medicine (ISMRM) 2014.
  37. Tipirneni-Sajja A, Loeffler RB, Oesingmann N, Duan Y, Winchell AM, Song R, McCarville MB, Hudson M, Spunt SL, Hillenbrand CM. A Two-Compartment Model with Automatic Time Interval Selection for Estimation of GFR Using DCE-MRI in Cohort of 28 Survivors of Unilateral Wilms’ Tumor. International Society of Magnetic Resonance in Medicine (ISMRM) 2014.
  38. Brost A, Gupta N, Seeger C, Tipirneni A, Han Z, Vos SB, Maclaren JR, Straka M, Fischbein NJ, Bammer R. Automatic Alignment for Tumor Assessment. Proc Intl Soc Mag Reson Med 2013.
  39. Inoue M, Wheeler HM, Mlynash M, Tipirneni A, Straka M, Kemp SM, Zaharchuk G, Bammer R, Lansberg MG, Albers GW; DEFUSE 2 investigators. Early DWI Reversal Following Endovascular Reperfusion Is Typically Transient. Stroke 2013.
  40. Inoue M, Lansberg MG, Mlynash M, Straka M, Kemp SM, Tipirneni A, Bammer R, Marks MP, Albers GW. Clinical Outcome Strongly Associated with the Degree of Endovascular Reperfusion Achieved in Target Mismatch. Stroke 2013.
  41. Marks MP, Lansberg MG, Mlynash M, Straka M, Kemp SM, Inoue M, Tipirneni A, McTaggart R, Zaharchuk G, Bammer R, Albers GW. Correlation of AOL recanalization, TIMI reperfusion and TICI reperfusion with infarct growth and clinical outcome in the DEFUSE 2 Trial. Stroke 2013.
  42. Marks MP, Lansberg MG, Mlynash M, Olivot J, Straka M, Kemp S, McTaggart R, Inoue M, Tipirneni A, Zaharchuk G, Bammer R, Albers GW. Impact of Collateral Blood Flow on Clinical Presentation, Diffusion and Perfusion Imaging, Infarct Growth and Clinical Outcome in the DEFUSE 2 Trial. Stroke 2013.
  43. Wheeler HM, Mlynash M, Inoue M, Tipirneni A, Liggins J, Mishra NK, Zaharchuk G, Straka M, Kemp S, Bammer R, Lansberg MG, Albers GW. The Growth Rate of Early DWI Lesions is Highly Variable and Associated with Penumbral Salvage and Clinical Outcomes Following Endovascular Reperfusion. Stroke 2013.
  44. Tipirneni A, Straka M, Lansberg MG, Mlynash M, Bammer R, Albers GW. A Novel Method for Quantification of Brain Edema in Ischemic Stroke. Stroke 2012.
  45. Albers G, Straka M, Kemp S, Mlynash M, Jovin T, Wechsler L, Wilder M, Lutsep H, Keogh B, Bernstein R, Chang C, Warach S, Fazekas F, Thai D, Inoue M, Tipirneni A, Hamilton S, Zaharchuk G, Marks M, Bammer R, Lansberg MG. Results of DEFUSE 2: imaging endpoints. Stroke 2012.
  46. Mlynash M, Lansberg MG, Straka M, Kemp S, Wechsler LR, Jovin TG, Wilder MJ, Lutsep HL, Czartoski T, Bernstein RA, Chang CW, Warach S, Fazekas F, Thai D, Inoue M, Tipirneni A, Hamilton SA, Zaharchuk G, Marks MP, Bammer R, Albers GW. The DEFUSE 2 Investigators. The Malignant MRI profile: Implications for Endovascular Therapy. Stroke 2012.
  47. Duan Y, Loeffler RB, Song R, Tipirneni A, Spunt S, Oesingmann N, Viano A, Hillenbrand CM. A Robust Method for Reducing Inflow Artifacts in the Arterial Input Function of Dynamic Contrast Enhanced Data Sets. Proc Intl Soc Mag Reson Med 2011.
  48. Tipirneni A, Song R, Loeffler RB, Hillenbrand CM. Evaluation of the relationship between respiratory hepatic and renal motion using real-time MRI. Proc Intl Soc Mag Reson Med 2009.

Book Chapter

Aaryani Tipirneni-Sajja, Sue C. Kaste, Claudia M. Hillenbrand. Magnetic Resonance Imaging in the Pediatric Patient in Haaga: CT and MRI of the Whole Body Sixth edition.

Media

Memphis Daily News: www.memphisdailynews.com/news/2017/nov/3/biopsy-breakthrough/