Dr. Hyun J. (Grace) Kim’s research focuses on classification, spatially and temporally correlated data analysis and pattern recognition of therapeutic response in medical imaging data. Specifically, Kim is studying approaches to classify abnormal patterns in interstitial lung diseases in computed tomography (CT) images, as well as removing noise in CT imaging. She is applying these methods to develop an automated model of classifying and scoring abnormalities in patterns of interstitial lung disease, such as fibrotic reticular and honeycomb patterns, and ground glass opacity abnormalities. In cancer studies, Kim's work involves identifying a predictive classifier and surrogate outcomes to a therapeutic response, including progression-free survival and overall survival, via MRI images.
Selected Cancer-Related Publications:
Buckler AJ, Mozley PD, Schwartz L, Petrick N, McNitt-Gray M, Fenimore C, O'Donnell K, Hayes W, Kim HJ, Clarke L, Sullivan D. Volumetric CT in lung cancer: an example for the qualification of imaging as a biomarker. Acad Radiol. 2010 Jan;17(1):107-15.
Pope WB, Kim HJ, Huo J, Alger J, Brown MS, Gjertson D, Sai V, Young JR, Tekchandani L, Cloughesy T, Mischel PS, Lai A, Nghiemphu P, Rahmanuddin S, Goldin J. Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment. Radiology. 2009 Jul;252(1):182-9.
McNitt-Gray MF, Bidaut LM, Armato SG, Meyer CR, Gavrielides MA, Fenimore C, McLennan G, Petrick N, Zhao B, Reeves AP, Beichel R, Kim HJ, Kinnard L. Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error. Transl Oncol. 2009 Dec;2(4):216-22.
Petkovska I, Brown MS, Goldin JG, Kim HJ, McNitt-Gray MF, Abtin FG, Ghurabi RJ, Aberle DR. The effect of lung volume on nodule size on CT. Acad Radiol. 2007 Apr;14(4):476-85.
Brown MS, Goldin JG, Rogers S, Kim HJ, Suh RD, McNitt-Gray MF, Shah SK, Truong D, Brown K, Sayre JW, Gjertson DW, Batra P, Aberle DR. Computer-aided lung nodule detection in CT: results of large-scale observer test. Acad Radiol. 2005 Jun;12(6):681-6.