registration of functional pet and structural mr images

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Registration of functional PET and structural MR images PVEOut satellite meeting Budapest, June 11 th 2004 Peter Willendrup & Claus Svarer Neurobiology Research Unit Copenhagen

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Registration of functional PET and structural MR images. PVEOut satellite meeting Budapest, June 11 th 2004 Peter Willendrup & Claus Svarer Neurobiology Research Unit Copenhagen. Registration needed PVEOut. - PowerPoint PPT Presentation

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Page 1: Registration of functional PET and structural MR images

Registration of functional PET and structural MR images

PVEOut satellite meeting

Budapest, June 11th 2004

Peter Willendrup & Claus Svarer

Neurobiology Research Unit

Copenhagen

Page 2: Registration of functional PET and structural MR images

NRU, 2004

Registration needed PVEOut

• Structural MR and functional PET image has to be registered/aligned as the structural information is applied to each voxel in the functional image

• As image are coming from same subject only a rigid 6 parameter transformation has to be estimated:

– 3 translations (along X, Y and Z axis)– 3 rotations (around X, Y and Z axis)

Page 3: Registration of functional PET and structural MR images

NRU, 2004

What automatic methods are available?

• West J, Fitzpatrick JM, Dawant BM, et al.

• Headmounted fiducials serves as ``Gold standard'' coregistration between the modalities (MR/CT/PET).• Coregistration parameters are kept for reference, and fiducials are removed from the datasets and

replaced by artificial noise.• Methods are tested ``blindly'' - no knowledge of the Gold standard answer.

Method Mean(mm) Med.(mm) Max.(mm) Method Mean(mm) Med.(mm) Max.(mm)Pluim 3.04 2.34 10.10 Rohlfing 3 3.72 3.40 10.00 Woods 1 2.67 2.35 5.81 Maintz 3.86 3.48 10.63 Rohlfing 5 3.15 2.60 8.09 Tanacs 1 5.31 3.56 16.80 Rohlfing 4 6.32 2.61 50.90 Luo 2 3.85 3.59 7.45 Rohlfing corrected 1 4.09 2.62 23.45 Collignon 4.63 3.64 12.73 Rohlfing corrected 2 12.29 2.74 115.57 Noz 4.57 3.64 11.37 Harkness 3.74 2.78 12.09 Ding 3.76 3.74 9.44 Pelizzari 3.36 2.89 9.99 Thevenaz 2 9.85 3.97 27.57 Thevenaz 3 4.52 2.98 14.34 Robb 3 4.21 4.01 9.44 Arata 2 3.00 3.01 5.43 Ashburner 2 4.14 4.20 7.46 Hsu 3.70 3.06 12.79 Malandain 4.24 4.21 8.54 Rohlfing 6 4.46 3.11 17.69 Nikou 1 4.24 4.29 8.62 Woods 2 3.00 3.14 5.97 Barillot 4.57 4.58 11.48 Ren 3.54 3.20 9.51 Thevenaz 1 4.86 5.03 10.13 Hill 3.50 3.25 9.32 Nikou 2 6.28 5.06 12.28 Tanacs 2 5.82 3.29 19.74 Ashburner 1 5.57 5.11 11.62 Robb 4 3.48 3.35 5.90 Capek 9.08 9.02 9.84

AIR

SPM

Page 4: Registration of functional PET and structural MR images

NRU, 2004

Why are the automatic approaches not always a good idea?

• These methods are very well suited for registration of images where:

– There in the PET image is an equal uptake in all brain regions– There is no inhomogenity variation in the MR images

• This is not the case for all receptor PET images, e.g. 5-HT2A

altanserin PET images where there are very limited uptake in Cerebellum

Limited

uptake

Page 5: Registration of functional PET and structural MR images

NRU, 2004

What manual methods have been proposed?

Many different approches exist in the litterature• Landmark based: "Graphics applied to medical image registration", G. Q. Maguire, Jr., M. E. Noz, H.

Rusinek, et al., Comput Graph Appl, 1991, vol. 11, pp. 20-29. • Surface based: "Accurate three-dimensional registration of CT, PET, and/or MR images of the brain", C.

A. Pelizzari, G. T. Y. Chen, D.R. Spelbring, R. R. Wechselbaum, and C-T. Chen, J Comput AssistTomogr, 1989, vol. 13, pp. 20-26.

• Image overlay: "Quantitative Comparison of Automatic and Interactive Methods for MRI-SPECT Image Registration of the Brain Based on 3-Dimensional Calculation of Error ”, Pfluger T, Vollmar C et al.: J Nucl Med 2000; 41:1823-1829

• Voxel based: "MRI-PET registration with automated algorithm", R. P. Woods, J. C. Mazziotta, and S. R. Cherry, J Comput Assist Tomogr, 1993, vol. 17, pp. 536-546.

Page 6: Registration of functional PET and structural MR images

NRU, 2004

MARSMultiple Algorithms for Registration of Scans

• Modular design– The problem of coregistration can be divided into subtasks

• Data selection• Registration• Visualisation / Inspection• Parameter I/O• Reslicing / Re-Interpolation

– All subtasks realised by ‘plugins’ - easy inclusion of alternative method

– Different registration approaches benefit from shared code

Page 7: Registration of functional PET and structural MR images

NRU, 2004

MARS

• Main program

• This is now included in pvelab

Page 8: Registration of functional PET and structural MR images

NRU, 2004

MARS

• Subtask modules– Registration

• Interface to Air 5.0 - Roger P. Woods• Interface to SPM 2 - J. Ashburner et. al.• IIO (Interactive Image Overlay) - NRU *• IPS (Interactive Point Selection) - NRU *

– Visualisation• Inspect (NRU visualisation program) *

• Asterisk-marked will be further explained

Page 9: Registration of functional PET and structural MR images

NRU, 2004

Registration 1: Interactive Image Overlay

Page 10: Registration of functional PET and structural MR images

NRU, 2004

Registration 1: Interactive Image Overlay

Translation and rotation

of overlay image and surface

by keyboard commands

Page 11: Registration of functional PET and structural MR images

NRU, 2004

Registration 1: Interactive Image Overlay

Page 12: Registration of functional PET and structural MR images

NRU, 2004

Registration 2: Interactive Point Selection

Page 13: Registration of functional PET and structural MR images

NRU, 2004

Registration 2: Interactive Point Selection

Page 14: Registration of functional PET and structural MR images

NRU, 2004

Inspection of registration

OverlaySide by side

Page 15: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study: Setup

• Images (5 subjects)– T1 weighted MR images (MPRAGE)

– 18F-Altanserin 5HT-2A receptor images

– Simulated PET images

• Evaluation by 7 volunteers– 3 rounds of MR / Altanserin registration

– 1 round of MR / Simulated PET registration

– Registration order randomised

– Max. one ‘round’ of registrations pr. day

• Images also registered using SPM99 and Air 3.0

Page 16: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study: Simulated PET

• Simulated PET datasets – Good: known registration parameters

– Bad: “easy” for cost fct. Based methods

Page 17: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study: Altanserin PET

• Altanserin PET images– Bad: Lack of gold standard registration method

– Good: Real world ‘limited uptake’ images

Page 18: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study

• Error measure - Euclidean distance between transformation endpoints

• Evaluated for 1% evenly distributed brain voxels. • Mean and std. dev. calculated

• Mean transformation realized by 6-parameter estimation to mean of transformed voxels

MR PET

vvv BxAxE

Page 19: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study: Simulated PET

Page 20: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study: Altanserin PET

Page 21: Registration of functional PET and structural MR images

NRU, 2004

Evaluation study: Result

SPM Air Mean manual

No Altanserin binding

should be seen in

Cerebellum,

Rotation problem? Too little binding in

Altanserin image,

Translation problem?

Page 22: Registration of functional PET and structural MR images

NRU, 2004

• Two manual co-registration methods and the interface to two automatic methods have been implemented and incorporated in the PVEOut SW package (pvelab).

• Four registration methods are included:– Interface to SPM 2 (J. Ashburner et. al.)– Interface to Air (R. Woods)– IIO (NRU)– IPS (NRU)

• For FDG/flow type images, SPM and Air are preferred, with reported errors in the range 2-3 mm.

• For neuroreceptor type images, with limited binding in areas of the brain, the manual methods can be used and possibly preferred.

• Measured errors:

Registration: Conclusion

Simulated images F18-Altanserin images