Yes, I love technology
But not as much as you, you see
But I still love technology
Always and forever 
                                - Kip Dynamite

Technology is defined as the application of scientific knowledge for human flourishing and progress and implies the use of tools or machines. Cross section medical imaging is the one of most important discoveries to revolutionize the practice of medicine and represents one of the best examples of the intersection of technology and medicine. Radiologists like myself need to learn a lesson from Kip in his declaration of love to LaFawnduh superseding that of technology: No matter how exciting or alluring the technology may be, it must still be second to the love for the patient.

I have the privilege of using technology to find clues in medical images, and work with other medical professionals to solve problems. This is all in service to helping the patient, whether to allay fears in the anatomic absence of disease or provide comfort in a diagnosis.  Any progress of medical imaging should always serve the patient in some way.

My training and background are primarily in neuroradiology. My work interests include the diagnosis of central nervous system disease particularly in children, with research interests in the use of advanced imaging to predict molecular changes in pediatric brain tumors.

I also serve as the division chief for both adult and pediatric neuroradiology, helping to organize the division in its tripartite clinical, educational and research missions. In addition I am also the director of pediatric neuroradiology at Riley Children's hospital and the founder and director of the pediatric neuroradiology fellowship at Indiana University. My love for teacahing is fulfilled not just by teaching trainees at the workstation, but also as an invited lecturer at national and international conferences.

Ho CY, Kindler JM, Persohn S, Kralik SF, Robertson KA, Territo PR. Image segmentation of plexiform neurofibromas from a deep neural network using multiple b-value diffusion data. Sci Rep 10, 17857 (2020) 

Ho CY, Supakul N, Patel PU, Seit V, Groswald M, Cardinal J, Lin C, Kralik SF. Differentiation of pilocytic and pilomyxoid astrocytomas using dynamic susceptibility contrast perfusion and diffusion weighted imaging. Neuroradiology. 2020 Jan;62(1):81-88

Ho CY, Deardorff R, Kralik SF, West JD, Wu YC, Shih CS. Comparison of multi-shot and single shot echo-planar diffusion tensor techniques for the optic pathway in patients with neurofibromatosis type 1. Neuroradiology. 2019 Apr;61(4):431-441.

Kralik SF, O'Neill DP, Kamer AP, Rodriguez E, Ho CY. Radiological diagnosis of drop metastases from paediatric brain tumours using combination of 2D and 3D MRI sequences. Clin Radiol. 2017 Oct;72(10):902.e13-902.e19. doi:10.1016/j.crad.2017.04.016. Epub 2017 May 22

Ho CY, Gener M, Bonnin J, Kralik SF. Diffusion, Perfusion, and Histopathologic Characteristics of Desmoplastic Infantile Ganglioglioma. J Radiol Case Rep. 2016 Jul 31;10(7):1-13. PubMed PMID: 27761184; PubMed Central PMCID: PMC5065274. 

Ho CY, Cardinal JS, Kamer AP, Lin C, Kralik SF. Contrast Leakage Patterns from Dynamic Susceptibility Contrast Perfusion MRI in the Grading of Primary Pediatric Brain Tumors.  AJNR Am J Neuroradiol. 2016 Mar;37(3):544-51. doi:10.3174/ajnr.A4559. PubMed PMID: 26564438

Kralik SF, Kamer AP, Ho CY. Diagnostic imaging of intracranial metastasis. Curr Probl Cancer. 2015 Mar-Apr;39(2):99-112. doi: 10.1016/j.currproblcancer.2015.03.003. Epub 2015 Mar 27. PubMed PMID: 25937585

Kralik SF, Ho CY, Finke W, Buchsbaum JC, Haskins CP, Shih CS. Radiation Necrosis in Pediatric Patients with Brain Tumors Treated with Proton Radiotherapy. AJNR Am J Neuroradiol. 2015 Aug;36(8):1572-8. doi:10.3174/ajnr.A4333. Epub 2015 Jul 2. PubMed PMID: 26138138 

Ho CY, Cardinal JS, Kamer AP, Kralik SF. Relative cerebral blood volume from dynamic susceptibility contrast perfusion in the grading of pediatric primary brain tumors. Neuroradiology. 2015 Mar;57(3):299-306. doi: 10.1007/s00234-014-1478-0. Epub 2014 Dec 13. PubMed PMID: 25504266