Jonghye Woo

MGH/Harvard


News

September, 2018: Our paper on identifying functional units has been accepted for the publication of IEEE TMI! Congratulations!

April, 2018: Fangxu has been promoted to instructor (faculty position at MGH/Harvard). Congratulations.

March, 2018: Euna's paper has been accepted for the publication of JASA-EL!

February, 2018: We have received an R21 award from NIH. Congratulations!

October, 2017: Fangxu's work on strain map of tongue motion during speech from diffusion and tagged-MRI has been aceepted for the publicaiton of SPIE. Congratulations!

October, 2017: Yongjin's work on tumor growth modelling has been aceepted for the publicaiton of SPIE. Congratulations!

September, 2017: Our work on developing 4D atlas of the tongue during speech from tagged-MRI and cine-MRI has been accepted for the publication of CMBBE!

September, 2017: Euna's work on comparison between ALS and normal structures of the tongue using DTI has been accepted to ASA meeting! Congratulations!

June, 2017: Fangxu's paper on motion estimation from tagged-MRI has been accepted for IEEE Trans on Medical Imaging. Congratulations!

May, 2017: Sung and Euna joined as a summer intern. Welcome!

Mar, 2017: Our work on discovering functional units of the tongue during speech from MRI is invited to a special session at the ASA meeting in June.

Mar, 2017: Negar's paper has been accepted for Journal of Acoustical Society of America.

Feb, 2017: We received the MGH ECOR Interim Support.

Feb, 2017: We have posted our recent work on speech map in Arxiv.

July, 2016: Fangxu's paper has been accepted for MICCAI workshop (RAMBO).

June, 2016: I am affiliated with MGH Institue of Health Professions (Speech and Communication Disorder) as an adjunct professor.

March, 2016: Our paper on the spatio-temporal atlas construction method for speech has been accepted for CMBBE!. This work is the first to address the problem using diffeomorphic groupwise registration.

March, 2016: Our paper on the structure and variability in tongue muscle anatomy has been accepted for CMBBE!. This work investigated how to use the vocal tract atlas to measure volume diffrences across subjects.

Feb, 2016: Maojing's work has been accepted for ISMRM!. The work aims to develop a real-time MRI method in conjunction with the spatio-temporal atlas.

Jan, 2016: Fangxu Xing joined as a postdoc! Welcome!

Dec, 2015: Fangxu's work titled "Analysis of 3D Tongue Motion from Tagged and Cine MR Images," has been accepted for Journal of Speech, Language, and Hearing Research.

Oct, 2015: Our work titled "High-resolution dynamic speech imaging with joint low-rank and atlas-driven sparsity constraints," has been accepted for SPIE Medical Imaging 2016 as an oral presentation.

Sep, 2015: Yongjin Chang joined as a visiting student!

Aug, 2015: Our work entitled "Statistical Modeling of Tongue Motion During Speech," has been presented for the 3rd workshop on PMHA held in Montreal!

May, 2015: I gave a talk in the PhD Research Seminar, MGH Institute of Health Professions.

April, 2015: I gave a talk in the JPNM program at Harvard Medical School and UIUC (UIUC-MGH seminar series).

March, 2015: Our work titled "Subject-Specific Biomechanical Modelling of the Oropharynx: Towards Speech Production" was accepted for Journal of CMBBE!

Feb, 2015: My work on a spatio-temporal atlas during speech has been accepted for IPMI 2015!

Dec, 2014: My NIH R00 grant is kicked off!

Nov, 2014: I joined MGH/Harvard as a faculty member

Discovering functional organization of the human tongue from MRI

Tongue motions during speech and swallowing gestures are synergies created by locally deforming regions, or functional units. Tongue motion clustering during speech or swallowing can be used to reveal its intrinsic functional organization. To mine this information, we give a graph-regularized sparse matrix factorization and probabilistic graphical model framework for 4D (3D space with time) tongue motion pattern over time. Our tagged-MRI imaging and internal tissue motion tracking paradigm bring into light patterns of motion and strain that have so far been intractable. We estimate this spatio-temporal muscle activation map in the non-negative matrix factorization, learning simultaneously latent building blocks and the corresponding weighting map using a set of motion features including displacement and strain. We then use spectral clustering using the activation map to determine the coherent regions during tongue motion, which in turn reveals functional units.
Grant Support: NIH NIDCD R21 Award

3D/4D statistcal Atlas of the Vocal Tract from Multimodal MRI

The tongue is the gateway to the body and is critical in eating, speaking, and breathing. Its function is compromised by disease and also by treatment, such as surgery or radiation for tongue cancer. A key to understanding the relationship between the structure and function of the tongue is to analyze motion changes in localized tongue regions and map them to anatomy. The use of three types of magnetic resonance (MR) images (i.e., high-resolution, cine, and tag) offers new and enhanced capabilities for exploring normal and diseased tongue behavior, advancing our knowledge on a wide variety of speech-related disorders. Quantitative measures derived from MR images, such as tissue compression, expansion, principle strain, and muscle mechanics play a crucial role to characterize normal and abnormal motion of the tongue. However, the critical hurdle currently faced in this field is a lack of tools for accurate, reproducible, and fully automated quantitative characterization of 4D (3D space with time) tongue motion in a normalized space in order to compare and contrast subjects despite their variable tongue sizes, shapes, and motion patterns. A powerful way to measure changes and compromises in tongue structure and function is via a 4D statistical atlas and associated image analysis techniques. Atlases integrate diverse imaging information for individuals and groups, by correlating images with quantitative measurements, and constructing diagnostic tools.
Grant Support: NIH NIDCD K99/R00 Award

Static and dynamic assessment of tongue impairment due to ALS

Amyotrophic Lateral Sclerosis (ALS) is a progressive and irreversible neurological disorder, which affects upper and lower motor neurons in the motor cortex that control voluntary movements including speech and swallowing. Structural MRI including High-resolution MRI (hMRI) and Diffusion Tensor Imaging (DTI) can provide non-invasive imaging of three-dimensional muscle anatomy and fiber myoarchitecture such as fiber orientation within the human tongue, respectively, while tagged-MRI provides an internal motion of the tongue during tongue behavior. In this research, we aim to assess anatomical/functional differences of the tongue using both imaging methods by demonstrating the differences in quantities related to fiber connectivity and motion for both normal and ALS subjects. Our framework has the potential to provide insight regarding the detrimental effects of ALS on speech and swallowing. Grant Support: N/A

Brain tumor growth modelling Using a Bayesian inference framework

An accurate prediction of brain tumor progression is crucial for optimized treatment of the tumors. Radiotherapy is an effective method for gliomas, and an understanding of tumor growth will allow better therapy planning. Especially, estimating parameters associated with tumor growth is important to characterize physiology of tumor growth and develop predictive models of tumor infiltration and recurrence. Here, we introduce a Bayesian framework using an improved elliptical slice sampling to estimate the parameters effectively. Our approach has the potential to provide an optimized treatment.
Grant Support: N/A

Selected Publications

2018

A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI, J. Woo, J. L. Prince, M. Stone, F. Xing, A. D. Gomez, J. R. Green, C. J. Hartnick, T. J. Brady, T. G. Reese, V. J. Wedeen, and G. El Fakhri in IEEE Trans on Medical Imaging , 2018 (in press)

MRI based anatomical assessment of tongue impairment due to amyotrophic lateral sclerosis: a preliminary study, E. Lee, F. Xing, S. Ahn, T. Reese, R. Wang, J. Green, N. Atassi, V. J. Wedeen, G. El Fakhri, and J. Woo in JASA Express Letters, 143(4):EL248, Apr, 2018

Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI, F. Xing, J. L. Prince, M. Stone, T. Reese, V. Wedeen, G. El Fakhri and J. Woo, in SPIE Medical Imaging, 2018

Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework, Y. Chang, G. Sharp, Q. Li, H. Shih, G. El Fakhri, J. Ra, and J. Woo, in SPIE Medical Imaging, 2018

A Deep Learning Based Anti-aliasing Self Super-resolution Algorithm for MRI, C. Zhao, A. Carass, B. E. Dewey, J. Woo, J. Oh, P. A. Calabresi, D. S. Reich, P. Sati, D. L. Pham, J. L. Prince in MICCAI, Spain, 2018

Tongue position during speech as a function of palatal anatomy: controls and glossectomy patients, M. Stone, E. Tigani, A. Pedersen, J. Lee, J. Woo, J. Prince, in Acoustical Society of America, Victoria, BC, Canada, Nov, 2018

2017

Speech Map: A Statistical Multimodal Atlas of 4D Tongue Motion During Speech from Tagged and Cine MR Images, J. Woo, F. Xing, M. Stone, J. Green, T. Reese, T. Brady, V. Wedeen, J. Prince, and G. El Fakhri, in CMBBE, 2017 (forthcoming)

The effects of palate features and glossectomy surgery on /s/ production, D. Grimm, M. Stone, J. Woo, J. Lee, J.-H. Hwang, J. Prince in Journal of Speech, Language, and Hearing Research60(12), pp. 3417-3425, Dec, 2017

Phase Vector Incompressible Registration Algorithm (PVIRA) for Motion Estimation from Tagged Magnetic Resonance Images, F. Xing, J. Woo, A. D. Gomez, D. L. Pham, P. V. Bayly, M. Stone, and J. L. Prince, in IEEE Trans on Medical Imaging, 36(10), pp. 2116-2128, Oct, 2017

Rapid Computation of Single PET scan Rest-Stress Myocardial Blood Flow Parametric Images by Table Look Up, N. Ghuehl, M. Normandin, D. Wooten, G. Rozen, J. Ruskin, T. Shoup, J. Woo, L. Ptaszek, G. El Fakhri, N. Alpert, in Medical Physics, 44(9):4643-4651, Sep, 2017

Variability in Muscle Activation of Simple Speech Motions: A Biomechanical Modeling Approach, N. Harandi, J. Woo, M. Stone, M., R. Abugharbieh, S. Fels, in Journal of Acoustical Society of America (JASA), 141(4):2579, April, 2017

A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging, F. Xing, J. Prince, M. Stone, V. Wedeen, G. El Fakhri, and J. Woo, in SPIE Medical Imaging: Image Processing, Orlando, FL, Feb., 2017 (oral)

Speaker-specific Biomechanical Model-based Investigation of a Simple Speech Task based on Tagged-MRI, K. Tang, N. Harandi, J. Woo, G. El Fakhri, M. Stone, and S. Fels in Interspeech, 2017 (accepted)

Discovering functional units of the human tongue during speech from cine- and tagged-MRI, J. Woo, M. Stone, F. Xing, J. Green, A. Gomez, V. J. Wedeen, J. L. Prince, and G. El Fakhri in Acoustical Society of America (ASA), June, 2017 (invited lecture)

Three Dimensional MRI Analyses of Tongue Muscle Behavior, M. Stone, J. Zhou, N. ElSaid, J. Woo, F. Xing, J. Prince, in Acoustical Society of America (ASA), June, 2017 (invited lecture)

Subject-specific Anatomical Assessment of the Human Tongue in Amyotrophic Lateral Sclerosis (ALS) by High-resolution MRI and Diffusion Tensor Imaging, E. Lee et al, in Acoustical Society of America (ASA), Dec, 2017 (accepted)

2016

A Spatio-Temporal Atlas and Statistical Model of the Tongue During Speech from Cine-MRI, J. Woo, F. Xing, J. Lee, M. Stone, J. L. Prince in Journal of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE): Special Issue on Imaging and Visualization, 2016 (in press)

Structure and Variability in Tongue Muscle Anatomy, M. Stone, J. Woo, J. Lee, T. Poole, A. Seagraves, M. Chung, E. Kim, E. Murano, J. L. Prince and S. Blemker in Journal of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE): Special Issue on Imaging and Visualization, 2016 (in press)

Analysis of 3D Tongue Motion from Tagged and Cine MR Images, F. Xing, J. Woo, J. Lee, M. Stone, J. L. Prince in Journal of Speech, Language, and Hearing Research, 2016 (in press)

Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images, F. Xing, J. Woo, Arnold D. Gomez, D. L. Pham, P. V. Bayly, M. Stone, and J. L. Prince, in MICCAI Workshop (RAMBO), Athenes, Greece, October, 2016 (oral)

Curvelinear Analysis of Tongue Muscle Movement During Speech Production, A. D. Gomez, J. Woo, F. Xing, M. Stone, J. L. Prince in 4th International Workshop on Biomechanical and Parametric Modeling of Human Anatomy, Vancouver, Canada, August, 2016

Motionless Speech: Statistical Atlases of 4D Tongue Motion During Speech from Tagged and Cine MR Images , J. Woo, F. Xing, M. Stone, J. Green, T. Brady, T. Reese, V. Wedeen, J. L. Prince, and G. El Fakhri in 4th International Workshop on Biomechanical and Parametric Modeling of Human Anatomy, Vancouver, Canada, August, 2016

High-resolution dynamic speech imaging with joint low-rank and atlas-driven sparsity constraints, M. Fu, J. Woo, Z.-P. Liang, B. Sutton, in SPIE Medical Imaging, San Diego, USA, February, 2016 (oral)

Spatiotemporal-atlas-based High-resolution Dynamic Speech MRI, M. Fu, J. Woo, Z.-P. Liang, B. Sutton, in ISMRM, Singapore, April, 2016 (oral)

4D Multimodal Atlas of the Swine Heart from PET-CT Images, J. Woo et al., in SNM, San Diego, 2016

Parametric imaging of a two-injection, single scan, rest-stress myocardial blood flow method, N. Guehl et al. in SNM, San Diego, 2016

2015

Subject-Specific Biomechanical Modelling of the Oropharynx: Towards Speech Production, N. Harandi, I. Stavness, J. Woo, M. Stone, R. Abugharbieh, S. Fels in Journal of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE): Special Issue on Imaging and Visualization, March, 2015 (in press)

Multimodal Registration via Mutual Information Incorporating Geometric and Spatial Context, J. Woo, M. Stone, and J. L. Prince in IEEE Trans. on Image Processing, 24(2), pp. 757-769, February, 2015

Segmentation of Tongue Muscles from Super-Resolution MR Images, B. Ibragimov, J. Prince, E. Murano, J. Woo, M. Stone, B. Likar, F. Pernuš, and T. Vrtovec in Medical Image Analysis, 20(1), pp. 198-207, February, 2015

A High-resolution Atlas and Statistical Model of the Vocal Tract from Structural MRI, J. Woo, J. Lee, E. Murano, F. Xing, M. Al-Talib, M. Stone, and J. L. Prince in Journal of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE): Imaging & Visualization, 3(1), pp. 47-60, January, 2015 - the first vocal tract atlas

Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging, F. Xing, C. Ye, J. Woo, M. Stone, J. L. Prince, in SPIE Medical Imaging: Image Processing, Florida, USA, February, 2015 (Robert F. Wagner Best Student Paper Award Finalist)

Subject-Specific Biomechanical Modelling of the Oropharynx with Application to Speech Production N. Harandi, J. Woo, I. Stavness, M. Stone, S. Fels, R. Abugharbieh, in IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, April 16-19, 2015

Construction of an Unbiased Spatio-temporal Atlas of the Tongue During Speech, J. Woo, F. Xing, J. Lee, M. Stone, J. L. Prince, in Information Processing in Medical Imaging (IPMI), Isle of Skye, Scotland, June, 2015

Statistical Modeling of Tongue Motion During Speech, J. Woo, F. Xing, J. Lee, M. Stone, J. L. Prince, in 3rd International Workshop on Biomechanical and Parametric Modeling of Human Anatomy, Montreal, Canada, August, 2015

Muscle anatomy and variability in healthy human tongues, M. Stone, J. Woo et al., in 3rd International Workshop on Biomechanical and Parametric Modeling of Human Anatomy, Montreal, Canada, August, 2015

2014

Semi-Automatic Segmentation of Tongue for 3D Motion Analysis with Dynamic MRI, J. Lee, J. Woo, F. Xing, E. Murano, M. Stone, and J. L. Prince in Computerized Medical Imaging and Graphics (CMIG), 38, pp. 714-724, December, 2014 (featured on cover page)

Patterns of variance in /s/ during normal and glossectomy speech, M. Stone, J. Woo, J. Zhuo, H. Chen, and J. L. Prince in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (CMBBE): Imaging & Visualization, 2(4), 197-207, December 2014

Tongue Motion Patterns in Glossectomy and Normal Speakers: A Principal Components Analysis, M. Stone, J. Langguth, J. Woo, H. Chen, and J. L. Prince, in Journal of Speech, Language, and Hearing Research (JSLHR), 57(3), pp. 707-717, June, 2014

Tissue-Point Motion Tracking in the Tongue from Cine-MRI and Tagged-MRI, J. Woo, M. Stone, Y. Suo, E. Murano, and J. L. Prince, in Journal of Speech, Language, and Hearing Research (JSLHR), 57(2), pp. S626-36, April, 2014

Subject-Specific Biomechanical Modelling of the Tongue: Analysis of Muscle Activations During Speech, N. Harandi, J. Woo, M. Stone, R. Abughabieh, and S. Fels, in International Seminar on Speech Production (ISSP), Cologne, Germany, May, 2014

Determining Functional Units of Tongue Motion via Graph-regularized Sparse Non-negative Matrix Factorization, J. Woo, F. Xing, J. Lee, M. Stone, and J. L. Prince, in 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, USA, September, 2014

Inverse Simulation of Subject- Specific Jaw-Tongue-Hyoid Model from Dynamic MR, N. Harandi, J. Woo, M. Stone, R. Abugharbieh, and S. Fels, in 12th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Amsterdam, Oct 13-15, 2014

2013

Investigating the potential of contactless high frequency ultrasound microbeam stimulation for identification of invasiveness in breast cancer cells, J. Y. Hwang, N. S. Lee, C. Lee, K. H. Lam, J. Woo, M.-Y. Lin, K. Kisler, H. H. Kim, Q. Zhou, R. H. Chow, and K. K. Shung, in Biotechnology and Bioengineering, 110(10), pp. 2697-2705, October, 2013

Multiphase Segmentation using an Implicit Dual Shape Prior: Application to Detection of Left Ventricle in Cardiac MRI, J. Woo, P. Slomka, C.-C. J. Kuo, and B.-W. Hong in Computer Vision and Image Understanding (CVIU), 117(9), pp. 1084-1094, September, 2013

Improving vocal tract reconstruction and modeling through super-resolution volume reconstruction technique, X. Zhou, J. Woo, M. Stone, J. L. Prince, and C. Espy-Wilson in Journal of the Acoustical Society of America (EL), 133(6), pp. EL439-445, June, 2013

Frequency of Apical and Laminal /s/ in Normal and Post-glossectomy Patients, M. Stone, S. Rizk, J. Woo, E. Murano, H. Chen, and J. L. Prince, in Journal of Medical Speech Language Pathology, 20(4), pp. 106-111, January, 2013

Image De-noising of Low-radiation Dose coronary CT Angiography by an Adaptive Block-Matching 3D Algorithm, D. Kang, P. Slomka, R. Nakazato, R., J. Woo, D. Berman, C.-C. J. Kuo, and D. Dey, in SPIE Medical Imaging: Image Processing, Florida, USA, February, 2013

MRI Analysis of 3D Normal and Post-Glossectomy Tongue Motion in Speech, F. Xing, J. Lee, E. Murano, J. Woo, M. Stone, and J. L. Prince, in IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, USA, April, 2013

Semi-Automatic Segmentation of Tongue for 3D Motion Analysis with Dynamic MRI, J. Lee, J. Woo, F. Xing, E. Murano, M. Stone, and J. L. Prince, in IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, USA, April, 2013

3-D vocal tract modeling of fricatives /s/ and /sh/ for post-glossectomy speakers, X. Zhou, J. Woo, M. Stone, and C. Espy-Wilson, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May, 2013

3D Tongue Motion from Tagged and Cine MR Images, F. Xing, J. Woo, E. Murano, J. Lee, M. Stone, and J. L. Prince, in 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September, 2013

2012

Reconstruction of High Resolution Tongue Volumes from MRI, J. Woo, E. Murano, M. Stone, and J. L. Prince in IEEE Trans. on Biomedical Engineering (TBME), 59(12), pp. 3511-3524, December, 2012

Heart Chambers and Whole Heart Segmentation Techniques: Review, D. Kang, J. Woo, P. Slomka, D. Dey, G. Germano, and C.-C. J. Kuo, in SPIE Journal of Electronic Imaging, 21, 010901, April, 2012

Feasibility of Determining Myocardial Transient Ischemic Dilation from Cardiac CT by Automated Stress/Rest Registration, J. Woo, P. Slomka, R. Nakazato, T. Balaji, G. Germano, D. Berman, and D. Dey, in SPIE Medical Imaging: Image Processing, San Diego, CA, USA, February, 2012

Super-Resolution Reconstruction of Tongue MR Images, J. Woo, Y. Bai, S. Roy, E. Murano, M. Stone, and J. L. Prince, in SPIE Medical Imaging: Image Processing, San Diego, CA, USA, February, 2012

Estimating 3D Tongue Motion with MR Images, F. Xing, J. Lee, E. Murano, J. Woo, M. Stone, and J. L. Prince, in IEEE Asilomar Conference on Signals, Systems and Computers, Asilomar, CA, USA, November, 2012

2011

Automatic 3D Registration of Dynamic Stress and Rest 82-Rb and Flurpiridaz F-18 Myocardial Perfusion PET Data for Patient Motion Detection and Correction, J. Woo, B. Tamarappoo, L. L. Meunier, A. Ramesh, J. Lazewatsky, D. Berman, G. Germano, and P. Slomka, in Medical Physics, 38(11), pp. 6313-6326, November, 2011

Deformable Registration of High-resolution and Cine MR Tongue Images, J. Woo, M. Stone, and J. L. Prince, in 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September, 2011

2010

Nonlinear Registration of Serial Coronary CT Angiography (CCTA) for Assessment of Changes in Atherosclerotic Plaque, J. Woo, D. Damini, V. Cheng, B.-W. Hong, A. Ramesh, G. Sundaramoorthi, R. Nakazato, D. Berman, G. Germano, C.-C. J. Kuo, and P. Slomka, in Medical Physics, 37(2), pp. 885-896, February, 2010

3D TEE Registration with Pre-operative MR for Interventional Cardiac Applications, J. Woo, V. Parthasarathy, S. Dalal, and A. Jain, in SPIE Medical Imaging: Visualization, Image-Guided Procedures, and Modeling, San Diego, CA, USA, February, 2010

2009

Geometric Feature-based Multimodal Image Registration of Contrast-enhanced Cardiac CT with Gated Myocardial Perfusion SPECT, J. Woo, P. Slomka, D. Dey, V. Cheng, B.-W. Hong, A. Ramesh, D. Berman, R. P. Karlsberg, C.-C. J. Kuo, and G. Germano, in Medical Physics, 36(12), pp. 5467-79, December, 2009 (featured on cover page)

Combined Quantitative Analysis of Myocardial Perfusion SPECT Co-registered with 64-slice Coronary CT Angiography, P. Slomka, V. Cheng, D. Dey, J. Woo, A. Ramesh, S. Kriekinge, Y. Suzuki, Y. Elad, R. Karlsberg, D. Berman, and G. Germano, in Journal of Nuclear Medicine (JNM), 50(10), pp. 1621-30, October, 2009

Non-rigid Ultrasound Image Registration Based on Intensity and Local Phase Information, J. Woo, B.-W. Hong, C. Hu, K. Shung, C.-C. J. Kuo, and P. Slomka, in Journal of Signal Processing Systems: Special Issue on Biomedical Imaging, 54(1), pp. 33-43, January, 2009

Curve Evolution with A Dual Shape Similarity and Its Application to Segmentation of Left Ventricle, J. Woo, B.-W. Hong, A. Ramesh, G. Germano, C.-C. J. Kuo, and P. Slomka, in SPIE Medical Imaging: Image Processing, Orlando, Florida, USA, February, 2009

Feature-based Non-rigid Volume Registration of Serial Coronary CT Angiography, J. Woo, B.-W. Hong, D. Dey, G. Sundaramoorthi, A. Ramesh, G.Germano, V. Cheng, C.-C.J. Kuo, and P. Slomka, in SPIE Medical Imaging: Image Processing, Orlando, Florida, USA, February, 2009

Automated Multi-modality Registration of 64-slice Coronary CT Angiography with Myocardial Perfusion SPECT, J. Woo, P. Slomka, D. Dey, V. Cheng, A. Ramesh, B.-W. Hong, D. Berman, C.-C. J. Kuo, and G. Germano, in IEEE International Symposium on Biomedical Imaging (ISBI), Boston, MA, USA, June, 2009

2008

Multimodal Data Integration for Computer-Aided Ablation of Atrial Fibrillation, J. Woo, B.-W. Hong, S. Kumar, I. B. Ray, and C.-C. J. Kuo, in Journal of Biomedicine and Biotechnology (JBB), Volume 2008, Hindawi, February, 2008

Joint Reconstruction and Registration Using Level Sets: Application to Computer-aided Ablation of Atrial Fibrillation, J. Woo, B.-W. Hong, S. Kumar, I. B. Ray, and C.-C. J. Kuo, in IEEE International Conference Frontiers in the Convergence of Bioscience and Information technologies (FBIT), Jeju, Korea, October, 2007

Current/Past Collaborators

Principal Investigator

  • Dr. Jonghye Woo, Assistant Professor of Radiology at Harvard Medical School
  • Brief Bio: Dr. Woo is an Assistant Professor in the Department of Radiology at Harvard Medical School and Massachusetts General Hospital in Boston since 2015. He received the B.S. degree from Seoul National University, Seoul, Korea, in 2005, and the M.S. and Ph.D. degrees from the University of Southern California (USC), Los Angeles, in 2007 and 2009, respectively, all in electrical engineering. He worked at Philips Research North America in Briarcliff Manor (now in Cambridge), as a Summer Research Intern in 2009 and Cedars-Sinai Medical Center in Los Angeles, as a Research Associate in 2010. He was a Postdoctoral Fellow and later a Research Associate at the University of Maryland and Johns Hopkins University in Baltimore from 2010 to 2014. His research interests include computer vision and machine learning with application to medical imaging such as multimodal image and motion analysis for the application of the tongue, heart, and brain. He received the USC Viterbi School of Engineering Best Dissertation Award in 2010 and the NIH/NIDCD K99/R00 Pathway to Independence Award in 2013.

Postdoc/Instructor

  • Dr. Fangxu Xing (PhD JHU and BS Tsinghua)
  • Brief Bio: Dr. Fangxu Xing received his Bachelor of Science degree in Tsinghua University in 2009. After that he came to the Unite States and started his graduate study in Johns Hopkins University. He has a broad background in mathematics and physics and it was carried through to his graduate research work, where he developed new technologies to help the study of cardiac imaging, speech, and traumatic brain injury. He received his Master of Science in Engineering degree in 2011. His Ph.D. thesis provided an efficient pipeline of image analysis methods to reconstruct three-dimensional motion information from sparsely acquired MRI data, thus accelerating imaging research processes while maintaining an efficient data acquisition. After graduating with a doctoral degree in 2015, he moved to Massachusetts General Hospital to work as a research fellow initially and presently is an instructor. He has been collaborating with a diverse group of experts in different research environments such as Massachusetts General Hospital, Johns Hopkins University, University of Maryland, and Washington University in St. Louis.

Undergraduate Students

  • Sung Ahn (Harvard)
  • Euna Lee (BC)

Visiting Students

  • Negar Harandi (UBC)
  • Yongjin Chang (KAIST)
  • Maojing Fu (UIUC)

Photos

    Maojing's visit and our team (1/15/2016) Visiting Prof. Liang at UIUC (4/10/2015) My last day with my postdoc mentor, Prof. Prince, at Hopkins (10/10/2014) With my postdoc mentor, Prof. Stone at U of Maryland (9/10/2012) With my PhD advisor, Prof. Kuo at USC and my beloved wife (5/18/2010) With Best Dissertation Awardees at USC (5/18/2010)

Join/Support

If your company is looking for academic partnerships with a leading team in the field of medical image analysis and machine learning in a variety of application areas, please contact me.

Office: 5 Fruit Street, Thier 304, Boston, MA 02114
Tel: 617-643-4846
Fax: 617-726-5123
Email: jwoo@mgh.harvard.edu

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