Contributions

Welcome! The MIDI Lab started in November of 2018 at MSU
Papers
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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
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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
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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 Cardiology, vol 47:1, pp 47-54, 2019
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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.
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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, 2019.
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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.
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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.
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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.
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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.
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Otjen, Stanescu, Alessio, Parisi, "Ovarian torsion: developing a machine learned algorithm for diagnosis," Pediatric Radiology, 2020.
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Toia, Alessio, Mileto, "Use of Dual-Energy CT for Quantification of Essential Trace Metals," American Journal of Roentgenology, 10.2214/AJR.20.23138, 2020.
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Banja, Rousselle, Duszak, Safdar, Alessio, “Sharing and Selling Images: Ethical and Regulatory Considerations for Radiologists,” Journal of the American College of Radiology, first published online Sept 1, 2020.
Abstracts
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Toia GV, Alessio AM, Mileto A. “Development of a Nonlinear Algorithm to Identify Minimal Detectable Concentrations of Trace Metals (Iron, Copper, Zinc) Using Dual-Energy CT in a Simulated Abdominal Phantom Experiment,” Society of Computed Body Tomography and Magnetic Resonance, Washington DC, 2018.
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Bindschadler, , Ferguson, Blackledge, Friedman, Otto, “Phantom for optimizing flow protocols in pediatric cardiac MRI,” Society for Cardiovascular Magnetic Resonance, Bellevue, 2019.
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Holste, Sullivan, Nagy, Bindschadler, Alessio, "Automatic Segmentation of Chest Radiographs with Deep Learning," MID-SURE Symposium, East Lansing, MI, 2019.
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Sullivan, Holste, Alessio, "Deep Learning Methods for Automatic Evaluation of Lines in Chest Radiographs," MID-SURE Symposium, East Lansing, MI, 2019.
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Adams, Pereira, Dighe, Cox, Rubin, Alessio, "Classification of Thyroid Nodules using Machine Learned One Class Autoencoders," MID-SURE Symposium, East Lansing, MI, 2019.
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Cox, Pereira, Dighe, Alessio, "Adaptation of the ResNet-50 Classification Architecture for the Prediction of Malignancy of Thyroid Nodules," MID-SURE Symposium, East Lansing, MI, 2019.
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Carras, Alessio, "Automatic Machine Learning Architecture Selection for Breast MRI Classification," MID-SURE Symposium, East Lansing, MI, 2019.
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Rubin, Adams, Cox, Pereira, Dighe, Wolf, and Alessio, “Towards automated structed reporting of thyroid ultrasound to reduce fine needle aspirations in thyroid cancer,” Michigan Osteopathic Association Annual Meeting, Grand Rapids, MI, 2019.
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Rubin, Adams, Cox, Pereira, Dighe, Alessio, “Machine learning with ultrasound to automate risk stratification and reduce fine needle aspiration in thyroid cancer” [Abstract 473]. 31(3):S209, 2020.
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Alessio, Adams, Lassen, Slomka, “Characterization of Partial Volume Errors in Coronary Plaque PET Imaging,” Journal of Nuclear Medicine (abstract), 2020.
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Abouhawwash, Deb, Alessio, “Exploration of Multi-objective Optimization with Genetic Algorithms for PET Image Reconstruction,” Journal of Nuclear Medicine (abstract), 2020.
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Tu, Brusen, Branch, Alessio, Comparison of Cardiac CT to PET for Non-invasive Myocardial Ischemia Grading, Biomedical Engineering Society (BMES) Annual Meeting, 2020.
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Azmat, Branch, Alessio, Virtual Clinical Trial to Evaluate the Benefit of Patient-Specific Blood Flow in CT Assessment of Functional Significance of Coronary Artery Stenosis, Biomedical Engineering Society (BMES) Annual Meeting, 2020.
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Abouhawwash, Alessio, “Reference Point Based Genetic Algorithm for PET Image Reconstruction,” IEEE Nucl. Sci. Symp. and Med. Imaging Conf., Virtual, 2020.
Conference Proceedings
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Pereira, Dighe, Alessio, “Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images,” SPIE Medical Imaging, Houston 2018.
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Bindschadler, Branch, Alessio, “Evaluation of radiation dose reduction via myocardial frame reduction in dynamic cardiac CT for perfusion quantitation,” SPIE Medical Imaging, Houston 2018.
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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.
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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.
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G Holste, R Sullivan, M Bindschadler, N Nagy, Alessio, "Multi-class semantic segmentation of pediatric chest radiographs," SPIE Medical Imaging, Houston 2020.
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R Sullivan, G Holste, J Burkow, Alessio, "Deep learning methods for segmentation of lines in pediatric chest radiographs," SPIE Medical Imaging, Houston 2020.
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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.
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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.
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Azmat, Tu, Alessio, Branch, "Machine learned versus analytical models for estimation of Fractional Flow Reserve (FFR) from CT-derived information," SPIE Medical Imaging, 2021.