From elef at indiana.edu Tue Jun 4 13:52:18 2019 From: elef at indiana.edu (Eleftherios Garyfallidis) Date: Tue, 4 Jun 2019 13:52:18 -0400 Subject: [Neuroimaging] [DIPY] DIPY exhibition at OHBM 2019 in Rome Message-ID: Hi all, We are organizing an exhibition at OHBM in Rome this year. If you are coming to OHBM please make sure to come to our booth and say hi. Our banner should be clearly visible. We will have more than a few really exciting demonstrations to show you. Also if you are a DIPY contributor and attending the event make sure you sent me an email so I can get you involved with the organization of the booth. We are also planning for a team party. So far the booth team includes Rafael, Ariel, Serge, Bramsh and myself. Let us know if you are coming! Best, Eleftherios -------------- next part -------------- An HTML attachment was scrubbed... URL: From ntbaovn at gmail.com Tue Jun 4 14:15:09 2019 From: ntbaovn at gmail.com (Aiden Nguyen) Date: Wed, 5 Jun 2019 01:15:09 +0700 Subject: [Neuroimaging] [DIPY] DIPY exhibition at OHBM 2019 in Rome In-Reply-To: References: Message-ID: So great Eleftherios, Hope that I can pass by and see you! Aiden Nguyen -- Nguyen Thien Bao, PhD Director and Founder, HBB Tech, Vietnam Co-founder, HBB Solutions, Vietnam Head, R&D Division, Cardano Labo, Vietnam NeuroInformatics Laboratory (NILab), Fondazione Bruno Kessler (FBK), Trento, Italy Centro Interdipartimentale Mente e Cervello (CIMeC), Universita degli Studi di Trento, Italy Surgical Planning Laboratory (SPL), Department of Radiology, BWH, Harvard University, MA, USA Lecturer, Faculty of Information Technology, University of Technology and Education, Ho Chi Minh, Vietnam Email: bao at bwh.harvard.edu or tbnguyen at fbk.eu or baont at hbbsolution.com or ntbaovn at gmail.com Fax: +39.0461.283.091 Cellphone: +1. 857.265.6408 (USA) +39.345.293.1006 (Italy) +84.9.2761.3761 (VietNam) On Wed, Jun 5, 2019 at 12:53 AM Eleftherios Garyfallidis wrote: > Hi all, > > We are organizing an exhibition at OHBM in Rome this year. If you are > coming to OHBM please make sure to come to our booth and say hi. Our banner > should be clearly visible. We will have more than a few really exciting > demonstrations to show you. > > Also if you are a DIPY contributor and attending the event make sure you > sent me an email so I can get you involved with the organization of the > booth. We are also planning for a team party. > > So far the booth team includes Rafael, Ariel, Serge, Bramsh and myself. > Let us know if you are coming! > > Best, > Eleftherios > > > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From elef at indiana.edu Wed Jun 5 09:42:46 2019 From: elef at indiana.edu (Eleftherios Garyfallidis) Date: Wed, 5 Jun 2019 09:42:46 -0400 Subject: [Neuroimaging] [DIPY] IronTract tractography challenge now open Message-ID: Hello all, I am forwarding an email from Anastasia Yendiki on this new tractography challenge. Looks cool! Best, Eleftherios Dear all - The IronTract tractography challenge is now open. For more information on challenge tasks, ranking criteria, and how to participate, please visit: https://irontract.mgh.harvard.edu There will be 2 winners: * Overall winner: The goal is to find the tractography method that achieves the highest accuracy possible regardless of diffusion sampling scheme. You can use the full set of b-values/directions as provided, or only those that work best for your method of choice. * HCP winner: The goal is to find the tractography method that is best suited for the 2-shell acquisition scheme that the 6500+ data sets of the lifespan and disease Human Connectome Project studies are being collected with. Are you a developer who wants to showcase the performance of your latest tractography method? Are you a data analyst who wants to see how the tools used for your lab's studies compare to other approaches? This is your chance! Results will be announced at the IronTract challenge session at MICCAI 2019. Participants will have further opportunities to participate in publications that will result from the challenge. The challenge will run on the QMENTA platform. To register and get your access codes for the platform, please visit: http://irontract.mgh.harvard.edu/register/ On behalf of the organizers, Anastasia Yendiki. -------------- next part -------------- An HTML attachment was scrubbed... URL: From karla_kort at hotmail.com Wed Jun 5 09:12:50 2019 From: karla_kort at hotmail.com (Karla Kort) Date: Wed, 5 Jun 2019 13:12:50 +0000 Subject: [Neuroimaging] first dimension too large Message-ID: Hi, I am trying to write to a new Nifti file in python, but I get this error when running the script from the commandline: 'UserWarning: Using large vector Freesurfer hack; header will not be compatible with SPM or FSL' And this file does not work. When I run the script in jupyter notebook it doesn't give an error, but the file still still doesn't work and seems empty. I read online that this is because the first dimension is too large, the dimensions of my data are (498511, 1, 1). So I guess that really is the problem, but I could not find any way to work around this. Is there a way? I do really need the complete file. Also, is there a way to just replace the data part in a nifti file? I noticed that .set_fdata() is not an existing command. Kind regards, Karla -------------- next part -------------- An HTML attachment was scrubbed... URL: From matthew.brett at gmail.com Wed Jun 5 16:05:29 2019 From: matthew.brett at gmail.com (Matthew Brett) Date: Wed, 5 Jun 2019 21:05:29 +0100 Subject: [Neuroimaging] first dimension too large In-Reply-To: References: Message-ID: Hi, On Wed, Jun 5, 2019 at 8:55 PM Karla Kort wrote: > > Hi, > > I am trying to write to a new Nifti file in python, but I get this error when running the script from the commandline: 'UserWarning: Using large vector Freesurfer hack; header will not be compatible with SPM or FSL' And this file does not work. When I run the script in jupyter notebook it doesn't give an error, but the file still still doesn't work and seems empty. I read online that this is because the first dimension is too large, the dimensions of my data are (498511, 1, 1). So I guess that really is the problem, but I could not find any way to work around this. Is there a way? I do really need the complete file. Sorry - the problem lies with the NIfTI format - the data dimensions are of type "short" https://nifti.nimh.nih.gov/pub/dist/src/niftilib/nifti1.h This is a signed 16-bit integer: https://en.wikipedia.org/wiki/C_data_types so the maximum number it can represent is 2^15-1 = 32767, and this is the largest possible valid size for any dimension. Can you use NIfTI2 instead? It's designed to solve this problem. > Also, is there a way to just replace the data part in a nifti file? I noticed that .set_fdata() is not an existing command. No - you need to create a new image, as in: img = nib.load('my_image.nii') new_img = nib.Nifti1Image(new_data, None, img.header) Cheers, Matthew From ts+ml at rcmd.org Wed Jun 5 16:40:44 2019 From: ts+ml at rcmd.org (=?UTF-8?Q?Tim_Sch=C3=A4fer?=) Date: Wed, 5 Jun 2019 22:40:44 +0200 (CEST) Subject: [Neuroimaging] first dimension too large In-Reply-To: References: Message-ID: <380128258.744778.1559767245008@ox.hosteurope.de> AFAIK this is a limitation of the format, so there is no general way around it. However, instead of writing the data into one very long dimension, it can be split over several smaller ones instead (the so-called FreeSurfer hack). But for the resulting file to be of any use, the program reading the file has to be aware of the hack and handle the file accordingly (see, e.g., https://github.com/nipy/nibabel/issues/428). Can you save in another format, like MGH/MGZ for further analysis? What program has to read the file? Tim > On June 5, 2019 at 3:12 PM Karla Kort wrote: > > > Hi, > > I am trying to write to a new Nifti file in python, but I get this error when running the script from the commandline: 'UserWarning: Using large vector Freesurfer hack; header will not be compatible with SPM or FSL' And this file does not work. When I run the script in jupyter notebook it doesn't give an error, but the file still still doesn't work and seems empty. I read online that this is because the first dimension is too large, the dimensions of my data are (498511, 1, 1). So I guess that really is the problem, but I could not find any way to work around this. Is there a way? I do really need the complete file. > Also, is there a way to just replace the data part in a nifti file? I noticed that .set_fdata() is not an existing command. > > Kind regards, > Karla > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging -- Dr. Tim Sch?fer Postdoc Computational Neuroimaging Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany From arokem at gmail.com Sat Jun 22 17:58:34 2019 From: arokem at gmail.com (Ariel Rokem) Date: Sat, 22 Jun 2019 14:58:34 -0700 Subject: [Neuroimaging] Nitime 0.8 Message-ID: Hi everyone, You might be interested to know that Nitime 0.8 was just released. This version fixes several regressions and deprecations that have accumulated since our last release, and drops Python 2 support along the way. Cheers, Ariel -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanv at berkeley.edu Sun Jun 23 02:17:28 2019 From: stefanv at berkeley.edu (Stefan van der Walt) Date: Sat, 22 Jun 2019 23:17:28 -0700 Subject: [Neuroimaging] Nofima/Berkeley/Lund postdoc position: Diffusion MRI + DiPy Message-ID: <20190623061728.3uonmwx6rvzti6ri@carbo> Nofima, the Norwegian food research institute, is searching for a candidate for a three-year postdoctoral project from the fall of 2019 at their Troms? location. The project is in conjunction with UC Berkeley and Lund University. Start date is negotiable. The position has an excellent work-life balance, five-weeks? vacation, and participation in the state health care system. Troms? draws visitors from around the globe for the world class hiking, skiing, kayaking and climbing (https://www.instagram.com/visittromso/?hl=en). For more information, please contact kate.washburn at nofima.no Project Description: Nearly half of all edible seafood is wasted due to real or perceived quality problems. Currently, seafood characterization is very qualitative, which hinders research. The project will use state of the art MRI methods to develop quantitative descriptors of fish tissue. In particular, newly developed diffusion tensor imaging methods will be used to describe tissue structure at multiple length scales. This information will be used to improve processing and storage methods to minimize waste and improve sustainability in the fishing industry. MRI data will be correlated with hyperspectral imaging data with the aim of developing high throughput screening techniques. Responsibilities: ? Improving MRI data analysis methods ? Use machine learning to relate MRI data to quality attributes ? Joint analysis and interpretation of MRI, hyperspectral and wet lab data ? Assisting in data acquisition ? Incorporating developed methods into the DiPy toolbox for dissemination ? Publishing results in relevant academic journals and presenting results at relevant conferences Qualifications: ? Doctoral degree in computer science, machine learning, physics, or other relevant discipline ? Experience in programming ? Experience in machine learning, image analysis, and neural networks ? Experience in magnetic resonance is desirable, but not required ? Fluent in both written and spoken English. Knowledge of Norwegian not required ? Position will require some travel, and includes an overseas stay at UC Berkeley and at Lund University From matthew.brett at gmail.com Sun Jun 23 02:38:04 2019 From: matthew.brett at gmail.com (Matthew Brett) Date: Sun, 23 Jun 2019 07:38:04 +0100 Subject: [Neuroimaging] Nitime 0.8 In-Reply-To: References: Message-ID: Many thanks, for the work, and the announcement. Cheers Matthew On Sat, 22 Jun 2019, 22:59 Ariel Rokem, wrote: > Hi everyone, > > You might be interested to know that Nitime 0.8 was just released. > > This version fixes several regressions and deprecations that have > accumulated since our last release, and drops Python 2 support along the > way. > > Cheers, > > Ariel > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbpoline at gmail.com Sun Jun 23 15:36:53 2019 From: jbpoline at gmail.com (JB Poline) Date: Sun, 23 Jun 2019 15:36:53 -0400 Subject: [Neuroimaging] Nitime 0.8 In-Reply-To: References: Message-ID: thanks a lot - this will be useful ! On Sun, Jun 23, 2019 at 2:38 AM Matthew Brett wrote: > Many thanks, for the work, and the announcement. > > Cheers > > Matthew > > On Sat, 22 Jun 2019, 22:59 Ariel Rokem, wrote: > >> Hi everyone, >> >> You might be interested to know that Nitime 0.8 was just released. >> >> This version fixes several regressions and deprecations that have >> accumulated since our last release, and drops Python 2 support along the >> way. >> >> Cheers, >> >> Ariel >> _______________________________________________ >> Neuroimaging mailing list >> Neuroimaging at python.org >> https://mail.python.org/mailman/listinfo/neuroimaging >> > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From markiewicz at stanford.edu Wed Jun 26 11:35:33 2019 From: markiewicz at stanford.edu (Christopher Markiewicz) Date: Wed, 26 Jun 2019 15:35:33 +0000 Subject: [Neuroimaging] Nibabel: Merge window for Python 2-compatible features Message-ID: Hi all, This is just a heads up that I'm planning to release nibabel 2.5.0 at the end of July. nibabel 2.5.x will be the last series to support Python 2, and all further releases in the series will be bug-fix only. Bug-fix support for 2.5.x will extend to the end of 2020, per the discussion in https://github.com/nipy/nibabel/issues/735. If there are features that you've been meaning to add, and would like to see supported in Python 2, now is the time to propose them. I anticipate a nibabel 3.0 release candidate in October, with a full release before the new year. Note that nibabel 3.0 will be Python 3.5+, as Python 3.4 has also reached end-of-life. Thanks, -- Chris Markiewicz Center for Reproducible Neuroscience Stanford University -------------- next part -------------- An HTML attachment was scrubbed... URL: