David Atkinson Julian Matthews Claudia Pietro Andrew ...

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David Atkinson Julian Matthews Claudia Pietro Andrew Reader Kris Thielemans

Transcript of David Atkinson Julian Matthews Claudia Pietro Andrew ...

David AtkinsonJulian Matthews

Claudia PietroAndrew Reader

Kris Thielemans

Computational Collaborative Projects

• CCPs bring together leading UK expertise in key fields of computational research to tackle large-scale scientific software development, maintenance and distribution.

• The aim is to capitalise on investment by encouraging widespread and long term use of the software, and by fostering new initiatives such as High End Computing consortia.

http://www.ccp.ac.uk/

CCP in Synergistic PET-MR Reconstruction

• 5 year funding (April 2015 – March 2020)

• Budget for networking activities

• Core support via STFC• Scientific programmers: 1 FTE (for 5 years)• Administration: 0.16 FTE (for 5 years)

• David AtkinsonJulian MatthewsClaudia PietroAndrew ReaderKris Thielemans

Aims• Network formation: bringing together expertise in each

modality• advancing understanding of PET-MR

• enhancing understanding of the algorithms used for each modality

• Developing software infrastructure• creating an Open Source software platform for integrated PET-MR

image reconstruction

• standardisation of data formats

• database with test cases

Past Networking Activities Mailing lists and website

Workshops/courses (co-organisers) 2nd International Training School on PET-MRI Engineering, Leeds, 2015

IEEE MIC 2015 Workshop: Open Source Software for Image Reconstruction

IEEE MIC 2015 Short Course: PET/SPECT/CT image reconstruction

IEEE MIC 2015: STIR User's Meeting

BC ISMRM Leeds 2016: half day Educational Workshop on PET-MRI Image reconstruction

UCL PET/MR Symposium 2016

IEEE MIC 2016: STIR User's Meeting

Software Framework Meetings ~6 weekly

10 meetings so far, with average ~15 attendants (local and remote)

Software• Framework for 3D and 4D reconstruction of PET-MR data

• Simple enough for education and teaching

• Powerful enough for processing of real data in a research context

• Easy installation (e.g. installation script, precompiled, virtual machine, Docker)

• Open Source

WHY OPEN SOURCE?

• Common platform for research

• Common platform for development

• Interaction with other packages

• Rigorous validation & testing by the community

• Speeds up scientific discoveries & technological evolution

• Great examples with demonstrated impact

GATE

Architecture overview

POSSUM

Standard file format

for (almost) ‘raw’ data(PET and MR)

PET package 1

PET package 2

MR package 1

MR package 2

Framework

Optimisation Code 1

File format translators supplied by/developed with manufacturers

Images(DICOM,

Nifti,…)

simulators

Framework

• “Glue” between different packages

•Provides consistent interface to user• It should not matter which package you are using for e.g.

the PET part

• Language interfaces• MATLAB

• Python

Software Status• Underlying packages:

• Functionality• Basic data manipulation

• Acquisition modelling• PET: geometric, but randoms/scatter/etc in progress

• MR: fully and under-sampled Cartesian

• Access to some reconstruction algorithms• PET: OSEM, OSL, OSSPS

• MR: GRAPPA, SENSE

• Processing of scanner data • Siemens mMR: MR OK, PET OK but not user-friendly

• GE Signa PET/MR: initial code for PET

Example

image = stir.Image() # STiR image

image.initialise((111, 111, 31), (3, 3, 3.375))

image.fill(1.0)

obj_fun = stir.PoissonLogLh_LinModMean_AcqModData()

grad = obj_fun.gradient(image, 0) # STiR image

i = image.as_array() # Python array (numpy ndarray)

g = grad.as_array() # Python array (numpy ndarray)

f = lambda t: -obj_fun.value(image.fill(i + t*g))

t = scipy.optimize.fminbound(f, 0, tmax)

i = i + t*g

image.fill(i)

Software distribution

• https://github.com/CCPPETMR• All source code (Apache 2.0 license)

• Installation instructions

• Virtual Machine (VirtualBox)http://www.ccppetmr.ac.uk/downloads• Preinstalled STIR, Gadgetron

• Preinstalled CCP-PETMR software for Python

• Easy update mechanism (choice between stable and experimental)

http://www.ccppetmr.ac.uk

http://www.ccppetmr.ac.uk/

Mailing lists:Announcements (68), Users (55), Developers (9)

Exchange programme

http://www.ccppetmr.ac.uk/