Rafael Ceschin Department of Biomedical Informatics,

Slides:



Advertisements
Similar presentations
CaBIG In Vivo Imaging Workspace Software for Image Based Cancer Research Fred Prior, Ph.D. Mallinckrodt Institute of Radiology Washington University School.
Advertisements

Neuroradiology Natasha Wehrli, MS4 University of Pennsylvania School of Medicine.
A CASE REPORT OF HEMIMEGALENCEPHALY K MRAIDHA, S JERBI OMEZZINE, N CHOUCHENE, Z KHADIMALLAH, A ACHOUR, R BOSSOFFARA 1, MT Sfar 1, HA HAMZA. Department.
Public Health Julie C. Chapman, PsyD Director of Neuroscience War Related Illness & Injury Study Center Veterans Affairs Medical Center, Washington, DC.
M. AMOR, S. MAJDOUB, B. BEN SALAH, M. DHIFALLAH, H. ZAGHOUANI, T. RZIGA, H. AMARA, D. BAKIR, C. KRAIEM Radiology service, University Hospital Farhat Hached.
NCBC EAB, January 2010 NA-MIC Highlights: A Core 1 Perspective Ross Whitaker University of Utah National Alliance for Biomedical Image Computing.
Eric S. Shinwell, MD Kaplan Medical Center Rehovot Hebrew University Jerusalem, Israel Postnatal Steroids 2005.
ASNR 53rd Annual Meeting, Chicago, April 25-30, 2015
WPA Neuroimaging. WPA Basic Principles of Brain Imaging Some technique is used to measure a signal in the brain (e.g., the degree to which an xray beam.
Diffusion Physics H 2 O in the body is always in random motion due to thermal agitation B.M. Ellingson, Ph.D., Dept. of Radiological Sciences, David Geffen.
Diffusion tensor imaging reveals early dissemination of pediatric diffuse intrinsic pontine gliomas Matthias W. Wagner¹, Joyce Mhlanga¹, Thangamadhan Bosemani¹,
Neonatal Meningitis: Magnetic-resonance-imaging-based Scores Analysis in Preterm and Term Newborns Department of Radiology, Children Hospital of Fudan.
conflicts of interest to report.
PharmaCog WP5 / E-ADNI. Enrollment and follow-ups Clinical sites Maximum Minimum PATIENTS EXPECTED.
The many facets of brain aging as assessed by mri (and Freesurfer)
Neuroimaging findings in abusive head trauma Giulio Zuccoli, Ashok Panigrahy and Rechel Berger 1 Department of Radiology, Safar Resuscitation Center 1,
The Role of MRI in Perinatal Anoxic Ischaemic Brain Injury
Databasing and Data Sharing
C. P. Loizou1, C. Papacharalambous1, G. Samaras1, E. Kyriakou2, T
Biomedical Data Science for Precision Medicine
3T MRI in paediatrics: Challenges and clinical applications
Neuroimage Analysis Center
* (p<0.05, Pearson Correlation Coefficient; Compared to MRI)
Acromegalic cardiomyopathy: A case report
MR Perfusion and Diffusion Values in Gliomas
MR images of cytoarchitectural dysplasia
Volume 27, Issue 1, Pages xv-xvi (February 2017)
Presenters: Joel Saltz, Biomedical Informatics, Stony Brook University
Longitudinal MWF in different brain regions for the vaginal delivery (blue) and cesarean delivery (green) groups in cohort 3. Longitudinal MWF in different.
A 74-year old woman with progressive amnesia
Visualization of computational image feature descriptors.
A, Diffusion-weighted image at the level of the deep gray nuclei in a 29-week-old fetus is free of motion artifact.B, Corresponding apparent diffusion.
Diffusion-weighted (TR = 3900, TE = 94, B = 1000, number of gradient directions = 90) imaging (A) with corresponding apparent diffusion coefficient map.
Nat. Rev. Neurol. doi: /nrneurol
Shandong Wu, PhD Assistant Professor
Aberrant Executive and Frontoparietal Functional Connectivity in Very Preterm Infants With Diffuse White Matter Abnormalities  Lili He, PhD, Nehal A.
Patient 1, a 15-day-old neonate who presented with encephalopathy
Brain miswiring in tuberous sclerosis and autism.
Nonenhanced sagittal T1-weighted MR image (500/11/1) in a 37-year-old woman with AIDS and chronic anemia (hemoglobin level, 8.2 mg/dL) shows diffuse abnormal.
MR images of architectural dysplasia and ipsilateral hippocampal sclerosis (dual abnormality).A, Coronal turbo SE T2-weighted image (2300/100/4) reveals.
Brain miswiring, tuberous sclerosis, and developmental delay.
Axial MR image (TR/TE, 10,002/142) obtained when the patient was aged 5 days shows extensive areas of abnormal signal intensity, which suggest edema involving.
MR images of patient 2 (with juvenile-onset DRPLA).
Prominent veins with infarct.
A, FLAIR demonstrating acute infarct within a superficial distribution
A-I, Axial T2-weighted brain MR images from patients with SS show hemosiderin deposition along the cerebellar folia (A), vermis (B) and around the midbrain.
Off-midline non-contrast-enhanced sagittal T1-weighted MR image (600/12/1) in a 48-year-old woman with breast cancer who presented with headache and fatigue.
A, On day 9 of illness, MRA of the circle of Willis demonstrates normal caliber of the ICAs, MCAs, ACAs, and vertebrobasilar system. A, On day 9 of illness,
Diffusion findings in acute-stage ANE in a 2-year-old girl.
A–C, Sagittal T1-weighted (A), sagittal T2-weighted (B), and axial T2-weighted (C) MR images of the cervical spine in a patient with severe myelopathy.
Images illustrate the contour and thresholding technique
Anti-voltage-gated calcium channel encephalitis.
Patient 1. Patient 1. Axial fluid-attenuated inversion recovery (FLAIR) imaging (A), diffusion-weighted imaging (DWI) (B), and apparent diffusion coefficient.
Differentiation of common pediatric brain tumors by quantitative 1H-MR spectroscopy. Differentiation of common pediatric brain tumors by quantitative 1H-MR.
A 47-year-old woman with a history of alcohol abuse presented with ataxia, changes in consciousness, and ocular abnormalities. A 47-year-old woman with.
Sagittal T1-weighted MR image of the pituitary gland in a preterm neonate (born at gestational week 28) obtained near term (corrected age of 39 weeks;
T1-weighted image obtained 2 months after exposure to carbon monoxide (A) shows slightly high-signal-intensity lesions in the bilateral substantia nigra.
MR images of the patient’s head, obtained on hospital day 17, 3 days after renormalization of overcorrected hypernatremia.A, FLAIR image now demonstrates.
On follow-up MR examination, 25 days after onset of symptoms, T2-weighted (A) and fluid-attenuated inversion recovery (B) MR images of brain show neuronal.
A, Axial T2-weighted image (3500/90/2) shows a well-defined deep right occipital white matter lesion (asterisk) and a subcortical linear hyperintensity.
A, Postcontrast T1-weighted MR image of the brain during metastatic work-up demonstrates no metastatic disease. A, Postcontrast T1-weighted MR image of.
Brain MR imaging on DOL 2 in patient 5 while he was treated with induced hypothermia; comparison between the perfusion map and images obtained from conventional.
Brain MR imaging on DOL 2 in patient 8, while he was treated with induced hypothermia; comparison between the perfusion map and images obtained from conventional.
Brain stem lesions on MR images and abnormal respiration.
Patient 3 was an 8-week-old female infant with a history of seizures that started 3 days before MR imaging was performed. Patient 3 was an 8-week-old female.
Conventional MR image findings in acute-stage ANE in 2-year-old-girl.
Axial images from the brain of a 59-year-old woman with mixed features of response, including areas of treatment-related changes and TP. Contrast-enhanced.
Single-site disease progression after 9 months of response to therapy in the right hemipelvis visualized by diffusion-weighted whole-body MRI. Top, fusion.
Serial MR images in a patient receiving hydroxyurea.
Marked progression of PML documented by serial MR studies
Presentation transcript:

Rafael Ceschin Department of Biomedical Informatics, University of Pittsburgh School of Medicine Department of Radiology, Children’s Hospital of Pittsburgh of UPMC Rafael.Ceschin@pitt.edu 412-692-5510

1. Using advanced MR Imaging techniques for biomarker discovery and treatment in pediatric brain tumors Diffusion Weighted Imaging as a marker for tumor progression in immunotherapy clinical trials

2. Applying state of the art machine learning methods for automated diagnosis and characterization of brain structure malformations using MRI Automated brain substructure segmentation Deep learning for pathology classification

3. Developing infrastructure for an imaging data commons with the goal of system wide accessibility to data anonymizing, processing, and sharing. Infrastructure for multi-site imaging research Database for imaging data storage and sharing

Recent Publications [1] A. D. Furtado, R. Ceschin, S. Blüml, G. Mason, R. I. Jakacki, H. Okada, I. F. Pollack, and A. Panigrahy, “Neuroimaging of Peptide-based Vaccine Therapy in Pediatric Brain Tumors,” Neuroimaging Clin. N. Am., vol. 27, no. 1, pp. 155–166, Feb. 2017. [2] N. Paquette, J. Shi, Y. Wang, Y. Lao, R. Ceschin, M. D. Nelson, A. Panigrahy, and N. Lepore, “Ventricular shape and relative position abnormalities in preterm neonates,” NeuroImage Clin., vol. 15, pp. 483–493, 2017. [3] A. Panigrahy, V. Lee, R. Ceschin, G. Zuccoli, N. Beluk, O. Khalifa, J. K. Votava-Smith, M. DeBrunner, R. Munoz, Y. Domnina, V. Morell, P. Wearden, J. Sanchez De Toledo, W. Devine, M. Zahid, and C. W. Lo, “Brain Dysplasia Associated with Ciliary Dysfunction in Infants with Congenital Heart Disease.,” J. Pediatr., Aug. 2016. [4] R. Ceschin, B. F. Kurland, S. R. Abberbock, B. M. Ellingson, H. Okada, R. I. Jakacki, I. F. Pollack, and A. Panigrahy, “Parametric Response Mapping of Apparent Diffusion Coefficient as an Imaging Biomarker to Distinguish Pseudoprogression from True Tumor Progression in Peptide-Based Vaccine Therapy for Pediatric Diffuse Intrinsic Pontine Glioma.,” AJNR. Am. J. Neuroradiol., Sep. 2015. [5] R. Ceschin, V. K. Lee, V. Schmithorst, and A. Panigrahy, “Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy.,” NeuroImage. Clin., vol. 9, pp. 322–37, Jan. 2015. [6] L. B. Paquette, J. K. Votava-Smith, R. Ceschin, A. C. Nagasunder, H. A. Jackson, S. Blüml, J. L. Wisnowski, and A. Panigrahy, “Abnormal Development of Thalamic Microstructure in Premature Neonates with Congenital Heart Disease.,” Pediatr. Cardiol., Jan. 2015. [7] J. L. Wisnowski, R. C. Ceschin, S. Y. Choi, V. J. Schmithorst, M. J. Painter, M. D. Nelson, S. Blüml, and A. Panigrahy, “Reduced thalamic volume in preterm infants is associated with abnormal white matter metabolism independent of injury.,” Neuroradiology, Feb. 2015. [8] R. Ceschin, A. Panigrahy, and V. Gopalakrishnan, “Sfdm: Open-source software for temporal analysis and visualization of brain tumor diffusion mr using serial functional diffusion mapping,” Cancer Inform., vol. 14, pp. 1–9, 2015. [9] R. Ceschin, J. L. Wisnowski, S. G. Erberich, L. B. Paquette, M. D. Nelson, S. Blüml, and A. Panigrahy, “Developmental synergy between thalamic structure and interhemispheric connectivity in the visual system of preterm infants,” NeuroImage Clin., vol. 8, pp. 462–472, Jan. 2015.