What is NEW?BME Calender - BME Takvimi
Enstitünün düzenli ajandası olan aktiviteleri (ofis saatleri, seminerler, Yüksek Lisans tez önerisi sunumları, Yüksek Lisans staj sunumları, Doktora Yeterlilik Sınavı önemli günleri, Enstitü Yönetim Kurulu toplantıları vd.) ve özel etkinlikler (Tez sunumları, sempozyumlar vd.) >>
Guide For Masters and PhD Applicants - Yüksek Lisans ve Doktora Başvuru Kılavuzu
Yeni başvuran Doktora ve Yüksek Lisans adayları için Enstitümüzün yurt, burs, finansal ve akademik destek olanakları >>
Assist. Prof. Dr. Esin Öztürk Işık
Esin Öztürk Işık has been conducting research in the field of magnetic resonance imaging (MRI). The main aim of her projects has been developing novel molecular magnetic resonance imaging techniques to allow for a better understanding of underlying biochemistry of diseases in order to improve patient health. The technical projects at her laboratory has focused on designing new algorithms for molecular MR imaging data acquisition, post-processing and quantitation, as well as biostatistical analysis. Her laboratory has also worked on developing computational methods based on machine learning for MR image analysis for understanding disease mechanisms. Another focus of technical projects has been developing novel quantitative molecular MR imaging methodologies for fast and accurate data acquisition and processing. She has worked on translating all the projects developed at her laboratory into the clinics in collaboration with the clinical investigators for the benefit of the patients. The projects she has proposed have focused on brain tumors, prostate cancer, and breast cancer, with the overarching goal of studying metabolism in various human systems.
‘Fast Phosphorus Magnetic Resonance Spectroscopic Imaging using Compressed Sensing for
Imaging Brain Tumors’. TUBITAK 3501 National Young Researchers Career Development
Program (CAREER), 2012-2014
‘Phosphorus MR Spectroscopic Imaging of Brain Tumors at 3T (31P_SPECTRA_3T)’.
Marie Curie International Reintegration Grant (IRG), 2010- 2014
‘Determination of Multimodality Magnetic Resonance Imaging Based Biomarkers for Mild Cognitive
Impairment in Parkinson Disease’, TUBITAK 1001 Research Projects, 2015- 2018
Ozturk-Isik E, Cha S, Chang SM, Berger MS, Nelson SJ. Lipid Unaliasing for MR Spectroscopic Imaging of Gliomas at 3T Utilizing Sensitivity Encoding (SENSE). Magnetic Resonance in Medicine. 2006 May;55(5):1164-9.
Pels P, Ozturk-Isik E, Swanson M, Vanhamme L, Kurhanewicz J, Nelson SJ, Van Huffel S. Quantification of Prostate MRSI Data by Model-Based Time Domain Fitting and Frequency Domain Analysis. NMR in Biomedicine. 2006 Apr;19(2):88-97
Li Y, Osorio J, Ozturk-Isik E, Chen A, Xu D, Crane J, VigneronDB, Nelson SJ. Considerations in applying 3-D PRESS H-1 brain MRSI with an eight-channel phased-array coil at 3T. Magnetic Resonance Imaging. 2006 Dec;24(10):1295-302.
Chen AP, Cunningham CH, Ozturk-Isik E, Xu D, Hurd RE, Kelly DAC, Pauly JM, Kurhanewicz J, Nelson SJ, Vigneron DB. High Speed 3T MR Spectroscopic Imaging of Prostate with Flyback Echo Planar Encoding. Journal of Magnetic Resonance Imaging. 2007 Jun;25(6):1288-92.
Osorio J, Ozturk-Isik E, Cha S, Chang SM, Berger MS, Nelson SJ. 3D 1H MRSI of Brain Tumors at 3.0 Tesla using an Eight-Channel Phased-Array Head Coil. Journal of Magnetic Resonance Imaging. 2007 Jul;26(1):23-30.
Ozturk E, Banerjee S, Majumdar S, Nelson SJ. Partially parallel MR spectroscopic imaging of gliomas at 3T. Proceedings of the IEEE EMBS Annual International Conference. 2006;1:493-6.
Banerjee S, Ozturk-Isik E, Nelson SJ, Majumdar S. Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique. Proceedings of the IEEE EMBS Annual International Conference. 2006;1:1866-9.
Ozturk-Isik E, Chen AP, Crane JC, Han ET, Xu D, Vigneron DB, Chang SM, Nelson SJ. 3D Sensitivity Encoded Ellipsoidal MR Spectroscopic Imaging of Gliomas at 3T. Magn Reson Imaging. 2009 Nov;27(9):1249-57.
Zierhut ML, Ozturk-Isik E , Chen AP, Vigneron DB, Nelson SJ. 1H Spectroscopic Imaging of Human Brainat 3T: Comparison of Fast 3D-MRSI Techniques. J Magn Reson Imaging. 2009 Sep;30(3):473-80.
Banerjee S, Ozturk-Isik E, Nelson SJ, Majumdar S. Elliptical MRSI with GRAPPA for imaging brain tumors at 3 Tesla. Magn Reson Imaging. 2009 Dec;27(10):1319-25.
Park I, Chen AP, Zierhut ML, Ozturk-Isik E, Vigneron DB, Nelson SJ. Implementation of 3 T Lactate-Edited 3D (1)H MR Spectroscopic Imaging with Flyback Echo-Planar Readout for Gliomas Patients. Ann Biomed Eng. 2011 Jan;39(1):193-204. Epub 2010 Jul 23.
Tropp J, Lupo JM, Chen A, Calderon P, McCunee D, Grafendorfer T, Ozturk-Isik E, Larson PEZ, Hu S, Yeng YF, Robbe F, Bokb R, Schulteh R, Xu D, Hurd R, Vigneron D, Nelson SJ. Multi-Channel Metabolic Imaging, with SENSE reconstruction, of Hyperpolarized [1-13C] Pyruvate in a Live Rat at 3.0 tesla on a Clinical MR Scanner. Journal of Magnetic Resonance. 2011 Jan;208(1):171-7.
Ozturk-Isik E, Pirzkall A, Lamborn K, Cha S, Chang SM, Nelson SJ. Spatial Characteristics of Newly Diagnosed Grade 3 Glioma Assessed by Magnetic Resonance Metabolic and Diffusion Tensor Imaging. Translational Oncology. 2012 Feb; 5(1):10-18.
Askin NC, Atis B, Ozturk-Isik E. Accelerated Phosphorus Magnetic Resonance Spectroscopic ImagingUsing Compressed Sensing. Proceedings of the IEEE EMBS Annual International Conference. 2012;1: 1106-9.
Li Y, Xu D, Ozturk-Isik E, Lupo JM, Chen AP, Vigneron DB, Nelson SJ. T1 and T2 Metabolite Relaxation Times in Normal Brain at 3T and 7T. Journal of Molecular Imaging Dynamics. 2012.S1:002.
Çıtak Er F, Firat Z, Kovanlikaya I, Ture U, Ozturk-Isik E.Multivariate Discriminant Analysis of Multiparametric Brain MRI to Differentiate High Grade and Low Grade Gliomas - A Computer-Aided Diagnosis Development Study. Proceedings of the IEEE BIBE Annual International Conference. 2013 Nov; 2013:1-5. doi: 10.1109/BIBE.2013.6701649.
Çıtak Er F, Vural M, Acar O, Esen T, Onay A, Ozturk-Isik E.Preliminary Results on Estimation of Final Gleason Score Using Discriminant Analysis on Preoperative Clinical Parameters and Multiparametric MRI Findings in Prostate Cancer. Proceedings of the International Conference on Applied Informatics for Health and Life Sciences. 2013:1.
Citak Er F, Hatay GH, Okeer E, Yildirim, M, Hakyemez B, Ozturk-Isik E. Classification of Phosphorus Magnetic Resonance Spectroscopic Imaging of Brain Tumors Using Support Vector Machine and Logistic Regression at 3T. Conf Proc IEEE Eng Med Biol Soc. 2014 Aug;2014:2392-5. doi: 10.1109/EMBC.2014.6944103.
Cebeci H, Aydin O, Ozturk-Isik E, Gumus C, Inecikli F, Bekar A, Kocaeli H, Hakyemez B. Assesment of perfusion in glial tumors with arterial spin labeling; comparison with dynamic susceptibility contrast method. Eur J Radiol. 2014 Oct;83(10):1914-9.
Citak Er F, Vural M, Acar O, Esen T, Onay A, Ozturk-Isik E. Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T. Biomed Res Int. 2014;2014:690787. doi: 10.1155/2014/690787. Epub 2014 Dec 2.
Acar Ö, Ozturk-Isik E, Mut T, Sağlıcan Y, Onay A, Vural M, Musaoğlu A, Esen T. Comparison of the trifecta outcomes of robotic and open nephron-sparing surgeries performed in the robotic era of a single institution. Springerplus. 2015; 4:472. doi: 10.1186/s40064-015-1274-2. eCollection 2015.
BM 506, “Introduction to Biostatistical Methods for Research”
BM 596, “Magnetic Resonance Image Reconstruction”
BM 590, “Magnetic Resonance Spectroscopic Imaging”
BM 641, “Magnetic Resonance Imaging Principles”