The MIDI Lab is currently working on translational medical research projects for topics including machine learning for quantitative diagnostics, cardiac perfusion estimation, quantitative PET and CT imaging, radiation dose optimization, and increased efficiency in the delivery of diagnostic healthcare.

 

The MSU Department of Biomedical Engineering was founded in 2016 and is in a period of significant and sustained growth and expansion. Our vibrant, innovative department aims to develop new methods for understanding, diagnosing, and treating medical conditions, and translating discoveries from the laboratory to the classroom and the clinic.

 
 

I teach and previously served as the administrative director for undergraduate studies in CMSE, offering minors and a major in Data Science. These comprehensive programs prepare students to apply data science and computation to solve real-world problems.

 

Collaborative Initiatives

  • SNMMI Dose Optimization: Radiation dose for all nuclear medicine and molecular imaging procedures should be optimized so that the patient receives the smallest possible amount of radiopharmaceutical that will provide the appropriate diagnostic information.
  • Image Gently: An initiative of the Alliance for Radiation Safety in Pediatric Imaging to promote radiation protection in the imaging of children.
  • Image Wisely: Campaign with objective of lowering the amount of radiation used in medically necessary imaging studies and eliminating unnecessary procedures.
 

Selected Educational and Editorial Contributions

  1. E Lin E, A Alessio. “What are the basic concepts of temporal, contrast, and spatial resolution in cardiac CT?” Journal of Cardiovascular Computed Tomography. vol 3, pp 403-408, 2009.
  2. Zacharias, Alessio, Otto, Iyer, Phillips, Swanson, Thapa, “Pediatric CT: Strategies to Lower Radiation Dose,” American Journal of Roentgenology, vol 200:5, pp 950-956, 2013.
  3. Parisi, Bermo, Alessio, Sharp, Gelfand, Shulkin, “Optimization of Pediatric PET/CT,” Seminars in Nuclear Medicine, 47 (3), pp 257-274, 2017.
  4. Alessio, Rahmim, “Resolution modeling enhances PET imaging,” point/counterpoint in Medical Physics, 40, 2013. link
  5. Slomka, Alessio, Germano, “How to reconstruct dynamic cardiac PET data?” editorial in Journal of Nuclear Cardiology, vol 24:1, 2016.
  6. Vali, Alessio, Balza, Borgwardt, ..., Lim, "SNMMI Procedure Standard/EANM Practice Guideline on Pediatric [18F]FDG PET-CT for Oncology 1.0," Journal of Nuclear Medicine, 62:1, pp 99-110, 2021. link
  7. Banja, Rousselle, Duszak, Safdar, Alessio, “Sharing and Selling Images: Ethical and Regulatory Considerations for Radiologists,” Journal of the American College of Radiology, vol 18:2, 2021. link
  8. Alessio, “Data-Driven Healthcare: Who owns our medical data and what are they allowed to do with it?,” MSU Bioethics Public Seminar Series, March 2021. link
 

Selected Software Tools

 

Papers

Google Scholar Profile

  1. A. Alessio, K. Sauer, and A. Mohammad-Djafari, "System parameter estimation in tomographic inverse problems," in Bayesian inference and maximum entropy methods in science and engineering , vol. 568, A. Mohammad-Djafari, Ed. Melville, NY: Amer. Inst. Phys., 2001, pp. 181-191. pdf
  2. A. Alessio, K. Sauer, and C. A. Bouman, "MAP reconstruction from spatially correlated PET data," IEEE Trans Nuclear Science , vol. 50, pp. 1445-1451, 2003.
  3. A. Alessio, P. Kinahan, P. Cheng, H. Vesselle, and J. Karp, "PET/CT scanner instrumentation, challenges, and solutions," Radiologic Clinics of North America , vol. 42, pp. 1017-32, 2004. pdf
  4. Alessio, K. Sauer, and P. Kinahan, “Reconstruction of Deconvolved FORE Rebinned PET Measurements”, Physics in Medicine and Biology, vol 51, pp 77-93, 2006. pdf
  5. Alessio, P. Kinahan, and T. Lewellen, “Modeling and Incorporation of System Response Functions in 3D Whole Body PET,” IEEE Trans Medical Imaging, vol 25:7, pp 828-837, 2006. pdf
  6. P. Kinahan, A. Alessio, and J. Fessler, “Dual Energy CT Attenuation Correction Methods for Quantitative Assessment of Response to Cancer Therapy with PET/CT Imaging,” Tech in Cancer Research and Treatment, vol 5:4, 2006.
  7. Alessio and P. Kinahan, “Improved Quantitation for PET/CT Image Reconstruction with System Modeling and Anatomical Priors”, Medical Physics, vol 33:11, pp 4095-4103, 2006. pdf
  8. E. Ford, P. Kinahan, L. Hanlon, A. Alessio, J. Rajendran, D. Schwartz, and M. Phillips, “Tumor delineation using PET in Head and Neck Cancers: Threshold Contouring and Lesion Volumes”, Medical Physics, vol 33:11, pp 4280-4288, 2006.
  9. L. Gong, S. Pathak, A. Alessio, P. Kinahan, “Automatic arm removal in PET and CT images for deformable registration” Computerized Medical Imaging and Graphics, vol 30:8, pp 469-477, 2006.
  10. Alessio, S. Kohlmyer, K. Branch, G. Chen, J. Caldwell, and P. Kinahan, "Cine CT imaging for Attenuation Correction with Cardiac PET/CT," Journal of Nuclear Medicine , 48: 794-801, 2007. link
  11. Chen, K. Branch, A. Alessio, P. Pham, R. Tabibiazar, P. Kinahan, and J. Caldwell, “Effect Of Reconstruction Algorithms On Myocardial Blood Flow Measurement with N-13 Ammonia PET,” Journal of Nuclear Medicine, 48:1259-1265, 2007.
  12. Alessio, K. Sauer, and P. Kinahan, "Statistical Image Reconstruction from Correlated Data with Applications to PET," Physics in Medicine and Biology, 52:6133-6150, 2007. pdf
  13. Alessio, Schmitz, MacDonald, Wollenweber, Stearns, Ross, Ganin, Lewellen, and Kinahan, “Image Reconstruction for a Partially Collimated Whole Body PET Scanner”, IEEE Trans Nuclear Science, vol 55:3, pp 975-983, 2008. link
  14. L.R. MacDonald, R.E. Schmitz, A.M. Alessio, S.D. Wollenweber, C.W. Stearns, A. Ganin, R.L. Harrison, T.K. Lewellen and P.E. Kinahan, “Measured count-rate performance of the Discovery STE PET/CT scanner in 2D, 3D and partial collimation acquisition modes”, Physics in Medicine and Biology, vol 53, pp 3723-3738, 2008.
  15. K Lee, RS Miyaoka, TK Lewellen, AM Alessio, and PE Kinahan, “Impact on Image Noise of Incorporating Detector Blurring into Image Reconstruction for a Small Animal PET Scanner,” IEEE Trans Nuclear Science, vol 56:5, 2009.
  16. Alessio, Kinahan, Manchanda, Ghioni, Aldape, Parisi, “Weight-Based, Low-Dose Pediatric Whole-Body PET/CT Protocols,” Journal Nuclear Medicine, vol 50:10, pp 1570-1578, 2009. link
  17. C Liu, LA Pierce II, AM Alessio, PE Kinahan. "The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging." Physics in Medicine and Biology. vol 54:7345-7362, 2009. link
  18. Alessio, CW Stearns, S Tong, SG Ross, S Kohlmyer, A Ganin, PE Kinahan, "Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction," IEEE Trans on Medical Imaging, vol. 29:3, 2010, pp. 938-949. link
  19. Alessio, PE Kinahan, K Champley, J Caldwell, "Attenuation-Emission Alignment in Cardiac PET/CT Based on Consistency Conditions," Medical Physics, vol 37:3, pp 1191-1200, 2010. link
  20. S Tong, AM Alessio, PE Kinahan, "Noise properties in PSF-based fully-3D PET image reconstruction: an experimental evaluation," Physics in Medicine and Biology, vol 55, pp 1453-1473, 2010. link
  21. C Liu, AM Alessio, L Pierce, K Thielemans, S Wollenweber, A Ganin, P Kinahan, "Quiescent period gating for PET/CT," Medical Physics, vol 37:9, pp 5037-5043, 2010.link
  22. Lockhart, MacDonald, Alessio, McDougald, Doot, Kinahan, "Quantifying and reducing the effect of calibration error on variability of PET/CT SUV measurements," Journal Nuclear Medicine, vol 52, pp 218-224, 2011. link
  23. S Tong, AM Alessio, PE Kinahan, H Liu, P Shi, "A robust state-space kinetics-guided framework for dynamic PET image reconstruction", Physics in Medicine and Biology, vol 56:8, pp 2481-2499, 2011. link
  24. Sammer, Shulkin, Alessio, Parisi, "Role of Limited Whole Body PET/CT in Pediatric Lymphoma" American Journal of Roentgenology, 196: 10.2214/AJR.10.6074, 2011. link
  25. Liu, Alessio, and Kinahan, "Respiratory motion correction for quantitative PET/CT using all detected events with internal-external motion correlation" Medical Physics, vol 38:5. pp 2715-2723, 2011. link
  26. Gu, Chakraborty, Champley, Alessio , Claridge , Rockne, Muzi, Krohn, Spence, Alvord, Anderson, Kinahan, and Swanson, "Applying A Patient-Specific Bio-Mathematical Model of Glioma Growth to Develop Virtual [18F]-FMISO PET Images," Mathematical Medicine & Biology, 2011. link
  27. MacDonald, Harrison, Alessio, Hunter, Lewellen, Kinahan, "Effective Count-Rates for PET Scanners with Reduced and Extended Axial Field of View" Physics in Medicine and Biology, vol 56:12. pp 3629; 2011. link
  28. Alessio, M Sammer, G Phillips, V Manchanda, B Mohr, MT Parisi, "Evaluation of Optimal Acquisition Duration or Injected Activity for Pediatric FDG-PET/CT" Journal of Nuclear Medicine, vol 52, pp 1028-1034, 2011. link
  29. Tong, Alessio, Thielemans, Stearns, Ross, Kinahan, "Properties and Mitigation of Edge Artifacts in PSF-Based PET Reconstruction" IEEE Trans Nuclear Science, vol 58, pp 2264-2275, 2011. link
  30. Busch, Alessio, Caldwell, Gupta, Mao, Kadakia, Shuman, Budoff, Branch, "Myocardial hypo-enhancement on resting computed tomography angiography images accurately identifies myocardial hypoperfusion" Journal of Cardiovascular Computed Tomography, vol 5:6, pp 412-420, 2011. link
  31. Xia , Alessio, De Man, Manjeshwar, Asma, Kinahan, "Ultra-Low Dose CT Attenuation Correction for PET/CT", Physics in Medicine and Biology, vol 57, pp 309-328, 2012. link
  32. Pierce, Miyaoka, Lewellen, Alessio, Kinahan, "Detector Position Estimation for PET Scanners" Nuclear Instruments and Methods in Physics Research Section A, vol 677, pp 74-79, 2012. link
  33. Abella, Alessio, Mankoff, MacDonald, Vaquero, Desco, Kinahan, "Accuracy of CT-Based Attenuation Correction in PET/CT Bone Imaging," Physics in Medicine and Biology, vol 57:9, pp 2477-2490, 2012. link
  34. Swanson, Alessio, and Chapman,, "Estimated additional lifetime risk of cancer attributable to diagnostic CT in a pediatric bone marrow transplant cohort: Experience at a single academic institution", Open Journal of Clinical Diagnostics, vol 2, pp 4-9. 2012. link
  35. Chapman, Swanson, Phillips, Parisi, Alessio, "Pediatric Chest CT Radiation Dose Reduction: Protocol Refinement Based On Noise Injection For Pulmonary Nodule Detection Accuracy" Clinical Imaging, vol 37:2 , pp 334-341, 2013. link
  36. Shuman, Choi, Hsieh, Alessio, Kinahan, Busey, "Model Based Iterative Reconstruction (MBIR) versus Adaptive Statistical Iterative Reconstruction (ASIR) and FBP in 64 Channel Liver CT: Focal Lesion Detection, Lesion Conspicuity, and Image Noise" American Journal of Roentgenology. vol 200:5, 2013.
  37. Alessio, Bassingthwaighte, Glenny and Caldwell, "Validation of an axially distributed model for quantification of myocardial blood flow using 13N-ammonia PET," Journal of Nuclear Cardiology, vol 20:1, pp 64-75, 2013. link
  38. Alessio and LR MacDonald, "Quantitative Material Characterization from Multi-Energy Photon Counting CT", Medical Physics, vol 40:3, 2013. link
  39. Li, Alessio, Burnett, Lewellen, Miyaoka, Performance evaluation of small animal PET scanners with different system designs, IEEE Trans Nuclear Science, vol. 60:3, pp 1495-1502, 2013.
  40. Padia, Alessio, Kwan, Lewis, Vaidya, Minoshima, "Comparison of PET and Bremsstrahlung imaging to detect particle distribution in patients undergoing Yttrium-90 radioembolization for large hepatocellular carcinomas or associated portal vein thrombosis," Journal of Vascular and Interventional Radiology, Vol 24:8, pp 1147-1153, 2013.
  41. Khorsand, Song, Swanson, Alessio, Redding, Waldhausen, "Iatrogenic Radiation Exposure to Patients With Early Onset Spine and Chest Wall Deformities," Spine, vol 38:17, pp 1108-14, 2013.
  42. Xia, Alessio, and Kinahan, "Dual Energy CT used for Attenuation Correction with PET/CT," Medical Physics, vol 41:1, 2014.
  43. Phillips, Stanescu, Alessio, "Relationships of pediatric anthropometrics for CT protocol selection, " American Journal of Roentgenology, vol 203, pp 85-91, 2014. link
  44. Bindschadler, Modgil, Branch, La Riviere, Alessio, "Comparison of Blood Flow Models and Acquisitions for Quantitative Myocardial Perfusion Estimation from Dynamic CT," Physics in Medicine and Biology, vol 59:7, 2014. link
  45. Toney, Wanner, Miyaoka, Alessio, Wood, Vesselle. “Improved Prediction of Lobar Perfusion Contribution Using Tc-99m MAA SPECT/CT with Attenuation Correction,” Journal of Thoracic and Cardiovascular Surgery, 2014.
  46. Nesterov, Deshayes, Sciagra, Settimo, Declerck, Pan, Yoshinaga, Katoh, Slomka, Germano, Han, Aalto, Alessio, Ficaro, Lee, Nekolla, Gwet, deKemp, Klein, Dickson, Case, Bateman, Prior, Knuuti, "Quantification of Myocardial Blood Flow in Absolute Terms Using 82Rb PET Imaging: Results of RUBY-10 Study," JACC: Cardiovascular Imaging, vol 7:11, pp 1119-27, 2014. link
  47. Bowen, Pierce, Alessio, Liu and Kinahan, “Assessment of patient selection criteria for quantitative imaging with respiratory-gated PET/CT,” Journal of Medical Imaging (SPIE), vol 1:2, 2014.
  48. Modgil, Alessio, Bindschadler, and La Rivière, “Sinogram smoothing techniques for myocardial blood flow estimation from dose-reduced dynamic CT,” Journal of Medical Imaging (SPIE), vol 1:3, 2014.
  49. Nyflot, Lee, Alessio, Wollenweber, Stearns, Bowen, and Kinahan, "Impact of CT attenuation correction method on quantitative respiratory-correlated (4D) PET/CT imaging," Medical Physics, vol. 42, no. 1, pp. 110–120, Jan. 2015.
  50. Liu, Kerwin, Caldwell, Ferguson, Hippe, Alessio, Martinez-Malo, Pimentel, Miyaoka, Kohler, Hatsukami, Yuan, “High Resolution FDG-MicroPET of Carotid Atherosclerosis: Plaque Components Underlying Enhanced FDG Uptake,” International Journal of Cardiovascular Imaging, vol 32:1, pp 145-152, 2016.
  51. Rui, Cheng, Long, Fu, Alessio, Asma, Kinahan, De Man, “Ultra-low dose CT attenuation correction for PET/CT: analysis of sparse view data acquisition and reconstruction algorithms,” Physics in Medicine and Biology, vol 60, no. 19, pp 7437–7460, Sept. 2015.
  52. Swanson, Alessio, White, Krengel, Friedman, Vining, Song, “Spine CT Radiation Dose Reduction: Protocol Refinement Based On Measurement Variation At Simulated Lower Radiation Acquisitions,” Spine, vol 40:20, pp 1613-1619, 2015.
  53. Alessio, Farrell, Fahey, “Role of Reference Levels in Nuclear Medicine: A Report of the SNMMI Dose Optimization Task Force,” Journal of Nuclear Medicine, vol 56:12, pp 1960-1964, 2015. link
  54. Bindschadler, Modgil, Branch, La Riviere, Alessio, "Comparison of Static and Dynamic Perfusion Cardiac CT for Quantitation and Patient Classification Tasks," Journal of Medical Imaging (SPIE), vol 3:2, 2016.link
  55. Perlmutter, Kim, Kinahan, Alessio, "Mixed Confidence Estimation for Iterative CT Reconstruction," IEEE Trans on Medical Imaging, vol. 35:9, pp 2005-2014, 2016. link
  56. Wollenweber, Alessio, Kinahan, "A phantom design for assessment of detectability in PET imaging," Medical Physics, vol 43:9, 2016. link
  57. McDougald, Miyaoka, Alessio, Harrison, and Lewellen "A study of SPECT/CT camera stability for quantitative imaging," EJNMMI Phys, vol 3:1, 2016. link
  58. Rui, Jin, FitzGerald, Wu, Alessio, Kinahan, De Man, "Fast analytical approach of application specific dose efficient spectrum selection for diagnostic CT imaging and PET attenuation correction," Physics in Medicine and Biology, 2016. link
  59. Fu, Lee, Kim, Alessio, Kinahan, Chang, Sauer, Kalra, and De Man, "Comparison between Pre-log and Post-log Statistical Models in Ultra-Low-Dose CT Reconstruction," IEEE Trans on Medical Imaging, 2016. link
  60. Kim, Alessio, De Man, Kinahan, "Direct Reconstruction of CT-based Attenuation Correction Images for PET with Cluster-Based Penalties," in IEEE Transactions on Nuclear Science, 2017. link
  61. Modgil, Bindschadler, Alessio, La Riviere, "Variable temporal sampling and tube current modulation for myocardial blood flow estimation from dose-reduced dynamic CT," Journal of Medical Imaging (SPIE), vol 4:2, 2017. link
  62. Chan, Alessio, Johnson, Vaidya, Kwan, Monsky, Wilson, Lewis, Padia, "Prospective Trial Using Internal Pair-Production Positron Emission Tomography to Establish the Yttrium-90 Radioembolization Dose Required for Response of Hepatocellular Carcinoma," International Journal of Radiation Oncology Biology Physics (IJROBP), vol 101:2, pp 358-365, 2018. link
  63. Chan, Alessio, Johnson, Vaidya, Kwan, Monsky, Wilson, Lewis, Padia. "Hepatotoxic Dose Thresholds by Positron-Emission Tomography After Yttrium-90 Radioembolization of Liver Tumors: A Prospective Single-Arm Observational Study," Cardiovascular and Interventional Radiology, 2018. link
  64. Bindschadler, Branch, Alessio, "Quantitative Myocardial Perfusion from Static Cardiac and Dynamic Arterial CT," Physics in Medicine and Biology, 2018.link
  65. Mileto, Zamora, Alessio, Pereira, … Kanal, “CT Detectability of Small Low-Contrast Hypoattenuating Focal Lesions: Iterative Reconstructions vs. Filtered Backprojection,” Radiology, vol 289:2, pp 443-454, 2018.link
  66. Doris, Otaki, Krishnanb, Kwiecinski, Rubeaux, Alessio, Pan, Cadet, Dey, Dweck, Newby, Berman, Slomka, "Optimization of reconstruction and quantification of motion-corrected coronary PET-CT," Journal of Nuclear Cardiology, 383:705-11, 2018. link
  67. Machado, Menezes, Namías, Vieira, Queiroz, Matheoud, Alessio, Oliveira, “Protocols for Harmonized Quantification and Noise Reduction in Low Dose Oncological 18F-FDG PET/CT Imaging,” Journal of Nuclear Medicine Technology, vol 47:1, pp 47-54, 2019.
  68. Chapman, Menashe, Zare, Alessio, Ishak, “Establishment of normative values for the fetal posterior fossa by magnetic resonance imaging,” Prenatal Diagnosis, vol 38:13, pp 1035-1041, 2018. link
  69. Saxena, Friedman, Bly, Otjen, Alessio, Li, Hannaford, Whipple, Moe, “Comparison of Micro–Computed Tomography and Clinical Computed Tomography Protocols for Visualization of Nasal Cartilage Before Surgical Planning for Rhinoplasty.” JAMA Facial Plastic Surgery, vol 21:3, pp 237-243, 2019.link
  70. Hunter, Klein, Alessio, deKemp, “Patient body motion correction for dynamic cardiac PET-CT by attenuation-emission alignment according to projection consistency conditions,” Medical Physics, vol 46:4, pp 1697-1706, 2019.link
  71. Pan, Einstein, Kappadath, Grogg, Lois-Gomez, Alessio, Hunter, El Fakhri, Kinahan, and Mawlawi, "Performance Evaluation of the 5-Ring GE Discovery MI PET/CT System Using the NEMA NU 2-2012 Standard," Medical Physics, vol. 57: 2, May 2019.
  72. Alessio, Bindschadler, Busey, Shuman, Caldwell, Branch, Accuracy of Myocardial Blood Flow Estimation from Dynamic Contrast Enhanced Cardiac CT Compared to PET," Circulation: Cardiovascular Imaging, vol. 12:6, 2019.link
  73. Zhang, Zukić, Byrd, Enquobahrie, Alessio, Cleary, Banovac, and Kinahan, “PET/CT-guided biopsy with respiratory motion correction,” Int J Computer Assisted Radiology and Surgery, vol. 14:12, pp. 2187–2198, 2019.link
  74. Otjen, Stanescu, Alessio, Parisi, "Ovarian torsion: developing a machine learned algorithm for diagnosis," Pediatric Radiology, vol. 50, pp. 706–714, 2020.link
  75. Toia, Alessio, Mileto, Use of Dual-Energy CT for Quantification of Essential Trace Metals, American Journal of Roentgenology, vol 216:2, pp 534-541, 2021.link
  76. Zigray, Elman, Cheng , Li, Lee, Soine, Caldwell, Alessio, Patient factors and outcomes associated with discordance between quantitative and qualitative cardiac PET ischemia information, PLOS ONE, 2021. link
  77. Abouhawwash and Alessio, "Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept," IEEE Transactions on Medical Imaging, 2021.link
  78. Abouhawwash and Alessio, "Evolutionary Optimization of Multiple Machine Learned Objectives for PET Image Reconstruction," IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 7:3, 2023. link
  79. Wollenweber, Alessio, Kinahan, “Phantom and methodology for comparison of small lesion detectability in PET,” Medical Physics, vol. 50:5, 2023. link
  80. Pawelec, Tu, Chakravarty, Hix, Buchanan, Kenney, Buchanan, Chatterjee, Das, Alessio, Shapiro, "Incorporating Tantalum Oxide Nanoparticles into Implantable Polymeric Biomedical Devices for Radiological Monitoring,"" Adv. Healthcare Materials. 2023. link
  81. Xu, McCandless, Miller, Alessio, Morrison, “Machine Learned Algorithms to Predict the Risk of Pneumothorax Requiring Chest Tube Placement after Lung Biopsy,” J of Vascular and Interventional Radiology, 2023. link
 

Selected Conference Proceedings

  1. A. Alessio, K. Sauer, and C. A. Bouman, "MAP reconstruction from spatially correlated PET data," Proc. of IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Norfolk, VA, vol. 2, pp. 907-911, 2002. pdf
  2. A. Alessio, K. Sauer, C. Bouman, and P. Kinahan, "PET Statistical Reconstruction with Modeling of Axial Effects of FORE," Proc. of IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Portland, vol. 4, pp. 2804-2807, 2003. pdf
  3. A. Alessio, K. Sauer, and P. Kinahan, "PET Reconstruction from Deconvolved FORE Data," Proc. of IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Portland, vol. 3, pp. 2032-2035, 2003.
  4. P. Kinahan, J. A. Fessler, A. Alessio, and T. K. Lewellen, "Quantitative Attenuation Correction for PET/CT Using Iterative Reconstruction of Low-Dose Dual-Energy CT," Proc. of IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Rome, pp. 3285 - 3289, 2004.
  5. R. L. Harrison, A. M. Alessio, P. E. Kinahan, and T. K. Lewellen, " Signal to Noise Ratio in Simulations of Time-of-Flight Positron Emission Tomography," Proc. of IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Rome, pp. 4080-4083, 2004.
  6. A. Alessio, P. Kinahan, and T. Lewellen, "Modeling and Incorporation of System Response Functions in 3D Whole Body PET," Proc. of IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Rome, 2004. pdf
  7. A. Alessio, P. Kinahan, and T. Lewellen, "Improved Quantitation for PET/CT Image Reconstruction with System Modeling and Anatomical Priors," SPIE Medical Imaging, San Diego, 2005. Proc. SPIE Vol 5747, p. 695-703. pdf
  8. Ford, P. Kinahan, M .Phillips, A. Alessio, L. Hanlon, “Tumor-delineation uncertainties in FDG-PET and FMISO-PET images and the effect on radiation therapy plans,” AAPM, Seattle, 2005. Medical Physics, vol. 32:6, pp 19944-1945.
  9. R. Harrison, A. Alessio, P. Kinahan, and T. Lewellen,”The Effects of Object Size, Attenuation, Scatter, and Random Coincidences on SNR in Simulations of Time-of-Flight PET,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Puerto Rico, pp. 1900-1904, 2005.
  10. P. Kinahan, P. Cheng, A. Alessio, T. Lewellen. “A Quantitative Approach to a Weight-Based Scanning Protocol for PET Oncology Imaging,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Puerto Rico, pp 1886-1890, 2005.
  11. A. Alessio, P. Kinahan, R. Harrison, and T. Lewellen, “Measured Spatially Variant System Response for PET Image Reconstruction,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Puerto Rico, pp. 1986-1990, 2005. pdf
  12. P. Kinahan, L. MacDonald, L. Ng, A. Alessio, W.P. Segars, B. Tsui, and S. Pathak, ”Compensating For Patient Respiration In PET/CT Imaging With The Registered And Summed Phases (RASP) Procedure,” IEEE International Symp on Biomedical Imaging, Arlington, VA, vol. 2, 1104-1107, 2006.
  13. L. MacDonald, R. Schmitz, S. Wollenweber, C. Stearns, A. Ganin, R. Harrison, A. Alessio, T. Lewellen, P. Kinahan, “Count-Rate Performance of the DSTE PET Scanner Using Partial Collimation” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., San Diego, 2006. M11-109.
  14. A. Alessio, J. Caldwell, G. Chen, K. Branch, P. Kinahan, “Attenuation-Emission Alignment in Cardiac PET/CT with Consistency Conditions” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., San Diego, 2006. M14-327. pdf
  15. L. MacDonald, R. Schmitz, A. Alessio, R. Harrison, T. Lewellen, P. Kinahan, “Estimating Live-Time for New PET Scanner Configurations” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Honolulu, 2007.
  16. P. Kinahan, A. Alessio, P. Segars, L. MacDonald, and S. Wollenweber, “Quantitative Evaluation of Respiratory Gated Whole-Body PET/CT Imaging Incorporating Respiration Variability” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Honolulu, 2007.
  17. A. Alessio, S. Kohlmyer, and P Kinahan, “Consistency Driven Respiratory Phase Alignment and Motion Compensation in PET/CT” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Honolulu, 2007. pdf
  18. A. Alessio and P. Kinahan, “Application Of A Spatially Variant System Model For 3-D Whole-Body PET Image Reconstruction” IEEE Inter Symp on Biomedical Imaging, Paris, 2008. pdf
  19. A. Alessio and L. MacDonald, “Spatially Variant Positron Range Modeling Derived from CT for PET Image Reconstruction” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Dresden, pp 3637 – 3640, 2008. pdf
  20. W. Huh, J.A. Fessler, A.M. Alessio, P.E. Kinahan, "Fast kVp-Switching Dual Energy CT for PET Attenuation Correction," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Orlando, pp 2510-15, 2009.
  21. L. Pierce, R. Miyaoka, T. Lewellen, A. Alessio, P. Kinahan, "Determining block detector positions for PET scanners," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Orlando, pp 2976-80, 2009.
  22. T. Xia, A. Alessio, P. Kinahan, "Limits of ultra-low dose CT attenuation correction for PET/CT," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Orlando, pp 3074-79, 2009.
  23. S. Tong, A. Alessio, P. Kinahan, "Evaluation of Noise Properties in PSF-Based PET Image Reconstruction," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Orlando, pp 3042-47, 2009.
  24. T. Xia, A. Alessio, P. Kinahan, "Noise properties as a function of energy of monoenergetic images from DECT used for attenuation correction with PET/CT and SPECT/CT," SPIE Medical Imaging, San Diego, 2010. Proc. SPIE, 7622-76.
  25. J Xu, N Subramanian, A Alessio, S Hauck, "Impulse C vs. VHDL for Accelerating Tomographic Reconstruction," IEEE Symposium on Field-Programmable Custom Computing Machines, Charlotte, NC, 2010.
  26. T Xia, A Alessio, P Kinahan. "Spectral shaping for ultra-low dose CT attenuation correction in PET/CT," 1st International Conf on Image Formation in X-ray CT, Salt Lake City, UT, pp 105-108, 2010.
  27. Alessio and GS Phillips, "A Pediatric CT Dose and Risk Estimator," technical innovation in Pediatric Radiology, vol 40:11, pp 1816-21, 2010. link
  28. Gelfand, Sharp, Treves, Fahey, Parisi and Alessio, "Estimated cumulative radiation dose from PET/CT in children with malignancies" Letter to Editor of Pediatric Radiology. vol 40:10, pp 1712-13, 2010. link
  29. S Tong, AM Alessio, K Thielemans, C Stearns, S Ross, PE Kinahan, "Properties of Edge Artifacts in PSF-Based PET Reconstruction", IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Knoxville, 2010.
  30. Alessio and PJ La Rivière, "Constrain static target kinetic iterative image reconstruction for 4D cardiac CT imaging," SPIE Electronic Imaging, Proc. SPIE 7873, 78730S; doi:10.1117/12.884662, 2011. link
  31. Alessio, KR Branch, JH Caldwell, JB Bassingthwaighte, "Comparison of models and acquisition techniques for estimation of myocardial blood flow from CT," SPIE Medical Imaging, Proc. SPIE 7965, 7965I, 2011.link
  32. Xia, Alessio, Asma, Manjeshwar, DeMan, Kinahan "Quantitative task performance of PET/CT with ultra-low dose CT attenuation correction", SPIE Medical Imaging, 2012.
  33. Alessio, LM MacDonald, "Quantitative soft tissue characterization from multi-energy photon counting CT," The 2nd International Conf on Image Formation in X-Ray CT, 2012.
  34. T Xia, AM Alessio, PE Kinahan, "Noise and bias properties of PET images using DECT based attenuation correction," The 2nd International Conf on Image Formation in X-Ray CT, 2012.
  35. Bowen, Pierce, Alessio, Liu, Kinahan, “Enhancing Clinical Utility of Respiratory-Gated PET/CT Using Patient Respiratory Trace Classification,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Anaheim, 2012.
  36. Long, Cheng, Rui, De Man, Alessio, Asma and Kinahan, "Analysis of Ultra-Low Dose CT Acquisition Protocol and Reconstruction Algorithm Combinations for PET Attenuation Correction," Fully 3D Image Reconstruction, 2013.
  37. Modgil, Alessio, Bindschadler, Little, Rigie, Vargas and La Rivière, "Multi-dimensional sinogram restoration for myocardial blood flow estimation from dose-reduced dynamic CT," Fully 3D Image Reconstruction, 2013.
  38. Rui, Long, Asma, Alessio, Kinahan, De Man, "Analysis of Optimal CT Spectrum for PET Attenuation Correction," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Seoul, 2013.
  39. Kim, Alessio, De Man, Asma, Kinahan, "Direct Reconstruction of CT-based Attenuation Correction Images for PET with Cluster-Based Penalties," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Seoul, 2013.
  40. Harrison, Jacobs, Elston, Alessio, Byrd, Rockne, Hawkins-Daarud, Muzi, Jackson, Swanson, Kinahan, "Integrating a Three-Dimensional Spatiotemporal Glioma Model with a PET Simulation System to Create Patient-Specific FMISO Images," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Seoul, 2013.
  41. Bindschadler, Modgil, Branch, La Riviere, Alessio, "Simulation Evaluation of Quantitative Myocardial Perfusion Assessment from Cardiac CT," SPIE Medical Imaging, San Diego 2014.
  42. Modgil, Alessio, Bindschadler, La Riviere, "Adaptive temporal smoothing of sinogram data using Karhunen-Loeve (KL) transform for myocardial blood flow estimation from dose-reduced dynamic CT," SPIE Medical Imaging, San Diego 2014.
  43. Perlmutter, Kim, Kinahan, Alessio, “Mixed confidence estimation for iterative CT reconstruction,” International Conference on Image Formation in X-ray CT, Salt Lake, 2014.
  44. Rui, Jin, FitzGerald, Alessio, Kinahan, De Man, “Optimal kVp selection for contrast CT imaging based on a projection-domain method,” International Conference on Image Formation in X-ray CT, Salt Lake, 2014.
  45. Kim, Alessio, Perlmutter, Thibault, De Man, Kinahan, “Improved statistical models in iterative CT reconstruction for PET attenuation correction,” International Conference on Image Formation in X-ray CT, Salt Lake, 2014.
  46. Perlmutter, Kim, Kinahan, Alessio, "Comparison of Maximum Likelihood Estimators for Low Flux X-Ray CT," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Seattle, 2014.
  47. Kim, Alessio, Perlmutter, Thibault, De Man, Kinahan, "Analysis of Statistical Models for Iterative Reconstruction of Extremely Low-Dose CT Data," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Seattle, 2014.
  48. Bindschadler, Modgil, Branch, La Riviere, Alessio, "Performance Comparison Between Static and Dynamic Cardiac CT on Perfusion Quantitation and Patient Classification Tasks," SPIE Medical Imaging, Orlando, 2015.
  49. Modgil, Alessio, Bindschadler, La Riviere, "Adaptive sampling of CT data for myocardial blood flow estimation from dose-reduced dynamic CT," SPIE Medical Imaging, San Diego 2015.
  50. Roychowdhury, Hollcraft, Alessio, “Blind Analysis of CT Image Noise Using Residual Denoised Images,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., San Diego, 2015.
  51. Wollenweber, Alessio, Kinahan, “3D Printing of Phantom Features for Radionuclide Imaging Using a Single Activity Concentration Fill,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., San Diego, 2015.
  52. Lee, Alessio, Fu, De Man, Kinahan, "Statistical Distributions of Ultra-Low Dose CT Sinograms in the Data Processing Stream," International Conference on Image Formation in X-ray CT, Bamberg, 2016.
  53. Modgil, Rigie, Binschadler, Alessio, La Riviere, "Image-domain denoising for myocardial blood flow estimation in dynamic CT," International Conference on Image Formation in X-ray CT, Bamberg, 2016.
  54. Rui, Lee, Alessio, Kinahan, De Man, "Model Based Iterative Reconstruction of Ultra Low Dose CT Scans for PET Attenuation Correction," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Strasbourg, 2016.
  55. Naeemi, Alessio, Roychowdhury, "Automated Selection of Uniform Regions for CT Image Quality Detection," Asilomar Conf on Signals, Systems, and Computers, Pacific Grove, 2016.
  56. Naeemi, Ren, Hollcroft, Alessio, Roychowdhury, "Application of Big Data Analytics for Automated Estimation of CT Image Quality," IEEE Big Data, 3rd Big Data Analytic Technology for Bioinformatics and Health Informatics Workshop, Washington DC, 2016.
  57. Rui, Lee, Christopfel, Alessio, Kinahan, and De Man, "Ultra-Low-Dose CT scans for PET Attenuation Correction Enabled by Sparse Sampling: Patient Study," Fully 3D Image Reconstruction, 2017.
  58. Wollenweber, Alessio, Kinahan, "Demonstration of PET System Design Trade-offs Using Small Lesion Detectability as a Metric and Measured Phantom Data," IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Atlanta, 2017.
  59. Pereira, Dighe, Alessio, "Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images," SPIE Medical Imaging, Houston 2018.
  60. Bindschadler, Branch, Alessio, "Evaluation of radiation dose reduction via myocardial frame reduction in dynamic cardiac CT for perfusion quantitation," SPIE Medical Imaging, Houston 2018.
  61. Colbry, Murillo, Alessio, Christlieb, "Computational Mathematics, Science and Engineering (CMSE): Establishing an Academic Department Dedicated to Scientific Computation as a Discipline," J Computational Science Education, vol 11, pp 68-72, 2020.
  62. P Carras, C Pereira, D Biswas, C Lee, S Partridge, Alessio, "Genetic algorithm for machine learning architecture selection for breast MRI classification," SPIE Medical Imaging, Houston 2020. link
  63. G Holste, R Sullivan, M Bindschadler, N Nagy, Alessio, "Multi-class semantic segmentation of pediatric chest radiographs," SPIE Medical Imaging, Houston 2020. link
  64. R Sullivan, G Holste, J Burkow, Alessio, "Deep learning methods for segmentation of lines in pediatric chest radiographs," SPIE Medical Imaging, Houston 2020.link
  65. J Cox, S Rubin, J Adams, C Pereira, M Dighe, Alessio, "Hyperparameter selection for ResNet classification of malignancy from thyroid ultrasound images," SPIE Medical Imaging, Houston 2020. link
  66. Tu, Azmat, Branch, Alessio, Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors, SPIE Medical Imaging, 2021.link
  67. Azmat, Tu, Alessio, Branch, Machine learned versus analytical models for estimation of Fractional Flow Reserve (FFR) from CT-derived information, SPIE Medical Imaging, 2021.link
  68. Holste, Partridge, Rahbar, Biswas, Lee, Alessio, "End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI,” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp 3294-3303, October 2021.link