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Simone Balocco

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Company/University: Pompeu Fabra University (Barcelona)

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Files Tagged by Simone					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
01 Oct 2009		multimodality non-rigid demon algorithm image registration non-rigid 2D and 3D image registration with demon (fluid) algorithm, extended with modality transf. Author: Dirk-Jan Kroon	3d, 2d, fluid, registration, multiple modalities, demon	157	31	4.8 4.8 \| 12 ratings

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Type	Description
File	3D Free Form Image Registration Toolbox (GUI)
File	non-rigid b-spline grid image registration
File	multimodality non-rigid demon algorithm image registration

Files Matching Simone's Watch List				View all 1 - 3 of 3
Updated	File	Tags	Downloads (last 30 days)	Comments	Rating
11 Jan 2010	non-rigid b-spline grid image registration Registration of two 2D/3D images, rigid and with smooth b-spline grid. Author: Dirk-Jan Kroon	registration, 2d, nonrigid, bspline, 3d, c mex	219	77	4.75 4.8 \| 12 ratings
01 Oct 2009	multimodality non-rigid demon algorithm image registration non-rigid 2D and 3D image registration with demon (fluid) algorithm, extended with modality transf. Author: Dirk-Jan Kroon	3d, 2d, fluid, registration, multiple modalities, demon	157	31	4.8 4.8 \| 12 ratings
22 May 2009	3D Free Form Image Registration Toolbox (GUI) A toolbox for performing image registrations on 4D RTOG files or any other volumetric image. Author: Daniel Markel	spline, image registration, image, medical, registration, free form	83	10

Comments and Ratings Matching Simone's Watch List			1-5 of 121
Date	File	Comment by	Comments	Rating
11 Mar 2010	non-rigid b-spline grid image registration Registration of two 2D/3D images, rigid and with smooth b-spline grid.	medical imaging Ibrahim	I have used this implementation as a step in one of my analysis systems, could you please tell me the paper that I should reference for this work ?	Comment only
15 Feb 2010	multimodality non-rigid demon algorithm image registration non-rigid 2D and 3D image registration with demon (fluid) algorithm, extended with modality transf.	Dirk-Jan Kroon	*Vijay Denoising the data before registration is not really needed, but when done with an edge preserving filter, it will slightly improve the final results.	Comment only
13 Feb 2010	multimodality non-rigid demon algorithm image registration non-rigid 2D and 3D image registration with demon (fluid) algorithm, extended with modality transf.	Vijay	This is an excellent algorithm... I have a quick question. Is this algorithm affected by noise in the image? Will it make sense to denoise image before doing image registration? Thanks, VIjay	5
10 Feb 2010	multimodality non-rigid demon algorithm image registration non-rigid 2D and 3D image registration with demon (fluid) algorithm, extended with modality transf.	Toni	Just a quick question please! So the pixel value from the moving image is transformed into the deformed moving one and the new position is e.g. x + Tx(x) , y + Ty(y), right? Does this mean that the old image is just updated with these values? what happens to the old pixel values where the pixel was transformed from and is the 'transformed to' pixel value the new value + the old one which was there already? And where does the interpolation take place? Too much confusion....	Comment only
09 Feb 2010	non-rigid b-spline grid image registration Registration of two 2D/3D images, rigid and with smooth b-spline grid.	winnie	Hi Dirk, I have just been trying to register an image to a template using your script, but unfortunately it did not work. I used all the default options. Here is a summary of the output: Start Affine part of Non-Rigid registration ... Optimizer Results Algorithm Used: limited memory BFGS (L-BFGS) Exit message : Change in the objective function value was less than the specified tolerance TolFun. ... (repeat twice) Start non-rigid b-spline grid registration Current Grid size : 7x7 ... Optimizer Results Algorithm Used: limited memory BFGS (L-BFGS) Exit message : Change in the objective function value was less than the specified tolerance TolFun. ... Registration Refinement Current Grid size : 11x11 ... Optimizer Results Algorithm Used: limited memory BFGS (L-BFGS) Exit message : Line search cannot find an acceptable point along the current search ... Registration Refinement Current Grid size : 19x19 ... Optimizer Results Algorithm Used: limited memory BFGS (L-BFGS) Exit message : Line search cannot find an acceptable point along the current search Then the program quits without doing any registration, as far as I can tell. I was just wondering whether you had any suggestions that I might try. For example, could I increase the specified tolerance TolFun somehow? Thanks, Winnie	Comment only

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