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Medical Image Analysis in R Quantitative Analysis of Medical Imaging Data in R Motivation Task View Case Studies fMRI Brandon Whitcher DTI PET Opportunities Mango Solutions End London, United Kingdom www.mango-solutions.com


  1. Medical Image Analysis in R Quantitative Analysis of Medical Imaging Data in R Motivation Task View Case Studies fMRI Brandon Whitcher DTI PET Opportunities Mango Solutions End London, United Kingdom www.mango-solutions.com bwhitcher@mango-solutions.com @MangoImaging 24 November 2011 – Neuroimaging and Statistics

  2. Medical Image Outline Analysis in R Motivation Task View 1 Motivation Case Studies fMRI DTI PET Medical Imaging Task View 2 Opportunities End Case Studies 3 Functional MRI Diffusion Tensor Imaging Positron Emission Tomography Opportunities 4 Conclusions 5

  3. Medical Image The Drug Development Process Analysis in R Motivation Task View Case Studies fMRI DTI PET Opportunities End • New drug development can take from 10-20 years with an estimated average of about 9-12 years. • The best estimate of the costs of drug R&D today is likely to be that from the most recently available well-designed study; that is, USD 802 million. Dickson & Gagnon (2009; Discovery Medicine)

  4. Medical Image Medical Image Analysis for Drug Development Analysis in R • Quantitative image analysis and statistical inference. Motivation Task View • Application development, validation and deployment. Case Studies • Translational imaging: pre-clinical and clinical studies. fMRI DTI • Work with clinical scientists to determine suitable PET Opportunities imaging biomarkers. End • Work with medical physicists to determine appropriate image acquisition guidelines. Three stages of a clinical imaging study. • Setup • Operations • Analysis

  5. Medical Image The R Project for Statistical Computing Analysis in R • R is a free software environment for statistical Motivation computing and graphics. Task View • R compiles and runs on a wide variety of UNIX Case Studies fMRI platforms, Windows and MacOS. DTI PET • Package development places the burden on the Opportunities developer, not the user. End How do you analyze your data? • Free / proprietary software. • The best tool for the job. • Write it yourself. Programming environments? • Matlab ITK Python IDL R C++ Fortran C#

  6. Medical Image Medical Imaging Task View Analysis in R • Operational for 3+ years now Motivation Task View • 15 packages Case Studies • 3 projects fMRI DTI • Modalities = EEG, MRI, PET and data formats PET Opportunities End Volume 44 of the Journal of Statistical Software Special volume on “Magnetic Resonance Imaging in R ” • 13 articles on structural fMRI, fMRI, DTI, DCE-MRI, connectivity, etc. • www.jstatsoft.org/v44 • New packages are always welcome!

  7. Medical Image Outline Analysis in R Motivation Task View 1 Motivation Case Studies fMRI DTI PET Medical Imaging Task View 2 Opportunities End Case Studies 3 Functional MRI Diffusion Tensor Imaging Positron Emission Tomography Opportunities 4 Conclusions 5

  8. Medical Image Functional MRI: Example Analysis in R Motivation Task View Case Studies fMRI DTI PET Opportunities End Junior et al. (2009; J Epilepsy Clin Neurophysiol)

  9. Medical Image Functional MRI: fmri example Analysis in R Motivation Task View Case Studies Package fmri using different fMRI DTI smoothing methods PET (corrected p -value = 0.05). Opportunities End • a) No smoothing • b) Gaussian smoothing • c) Structural adaptive smoothing and Random Field Theory • d) Structural adaptive segmentation Tabelow et al. (2011; NeuroImage)

  10. Medical Image Functional MRI: Software Analysis in R Motivation The Big Guns Task View Case Studies • FMRIB Software Library (FSL) [license?] fMRI DTI PET • Statistical Parametric Mapping (SPM) [GPL ≥ 2] Opportunities • Analysis of Functional NeuroImages (AFNI) [GPL ≥ 2] End Medical Imaging Task View • AnalyzeFMRI • arf • cudaBayesreg • fmri • neuroim

  11. Medical Image Outline Analysis in R Motivation Task View 1 Motivation Case Studies fMRI DTI PET Medical Imaging Task View 2 Opportunities End Case Studies 3 Functional MRI Diffusion Tensor Imaging Positron Emission Tomography Opportunities 4 Conclusions 5

  12. Medical Image Diffusion Tensor Imaging: Example Analysis in R Motivation Task View Case Studies fMRI DTI PET Opportunities End Polzehl and Tabelow (forthcoming)

  13. Medical Image Tractography: Example Analysis in R Motivation Task View Case Studies fMRI DTI STR PET CG Opportunities SLF End CC SFO ILF CST MCP ML CPT Polzehl and Tabelow (forthcoming)

  14. Medical Image Diffusion Tensor Imaging: Software Analysis in R Motivation The Medium-Sized Guns Task View Case Studies • FMRIB Software Library (FSL) [license?] fMRI DTI • SPM Extension(s) PET Opportunities • AFNI plugin? End • Camino Diffusion MRI Toolkit [license?] • DTIStudio [license?] • (please do not be offended if your software is not listed) Medical Imaging Task View • dti • tractor.base (part of TractoR project)

  15. Medical Image Outline Analysis in R Motivation Task View 1 Motivation Case Studies fMRI DTI PET Medical Imaging Task View 2 Opportunities End Case Studies 3 Functional MRI Diffusion Tensor Imaging Positron Emission Tomography Opportunities 4 Conclusions 5

  16. Medical Image Compartmental Models in PET Analysis in R Motivation Task View Case Studies fMRI DTI PET Opportunities End

  17. Medical Image FDG-PET Analysis in R The Sokoloff Deoxyglucose Model Motivation Task View CMR glu = [ glucose ] K 1 k 3 = [ glucose ] Case Studies × K i × fMRI LC k 2 + k 3 LC DTI PET Opportunities • [ glucose ] = circulating glucose level ( µ moles/ml) End • LC = “lump constant” The lumped constant (Sokoloff et al. 1977) accounts for the differences in transport and phosphorylation rates between D-glucose and 2-fluoro-2-deoxy-D-glucose.

  18. Medical Image FDG-PET & Dementia Analysis in R Motivation Task View Case Studies fMRI DTI PET Opportunities End Figure 2. FDG PET images showing patterns of metabolic activity that are characteristic of patients with Alzheimer’s disease, Pick’s disease (fronto-temporal dementia) and elderly individuals with no dementia. Red, high FDG uptake, Blue, low FDG uptake. Miller (2004; Radiology Rounds)

  19. Medical Image FDG-PET vs. [11C]PiB-PET Analysis in R Motivation Task View Case Studies fMRI DTI PET Opportunities End Patel (2011; Presentation)

  20. Medical Image Positron Emission Tomography: Software Analysis in R Motivation Where is my gun? Task View Case Studies • Statistical Parametric Mapping (SPM) fMRI DTI • PMOD ( http://www.pmod.com ) [proprietary] PET Opportunities End Medical Imaging Task View • PET (reconstruction only) • oro.pet (not yet released)

  21. Medical Image Image Analysis Analysis in R Motivation • Pre-processing Task View • (Non)Linear Registration ( RNiftyReg ) Case Studies • Segmentation, Normalization fMRI DTI PET Third-Party Libraries? Opportunities End • Insight Segmentation and Registration Toolkit (ITK) • Visualization Toolkit (VTK) • NiftyReg R Gurus wanted to help create RITK package • SimpleITK is a new C++ layer on top of ITK • If interested, please contact me!

  22. Medical Image Data Formats Analysis in R Motivation • R packages that access DICOM / ANALYZE / NIfTI Task View • AnalyzeFMRI Case Studies fMRI • fmri DTI PET • oro.dicom , oro.nifti Opportunities • Rniftilib End • tractor.base Question #1 What are the (dis)advantages to having a single R package that performs input / output for medical imaging data? Question #2 Should R packages be discouraged from writing output in formats other than ANALYZE or NIfTI?

  23. Medical Image Summary Analysis in R • Open-source / public-domain software and data sets Motivation are key to incrementally improving the quality of the Task View methodology and implementation of algorithms applied Case Studies to (pre-)clinical studies. fMRI DTI • Clinical research PET Opportunities • Drug development End • Medical image analysis benefits from statisticians and physicists working together. • Signal processing & Image processing • Group-level analysis & Statistical inference • Genetics + Neuroimaging • New methodology versus basic functionality • Intended audience? • Purpose of the software? • Please consider R for future research and software development.

  24. Medical Image Analysis in R Motivation I would like to thank Task View Case Studies • R-core team, CRAN, R-Forge, R-community, ... fMRI DTI • Current members of the Medical Imaging Task View PET Opportunities • Future members of the Medical Imaging Task View End • My collaborators Thank-you

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