[Mristudio-users] Fwd: loading DSI dataset into DTIStudio

Xin Li xli16 at jhmi.edu
Mon Mar 18 08:31:31 EDT 2013


1)      We are first time users of LDDMM and and are encountering a problem when we use the single channel registration: "file not found: process.md5".  

Is DiffeoMap on a network disk instead of on your local disk? 


Xin

----- Original Message -----
From: Usha Sinha <usinha at mail.sdsu.edu>
Date: Sunday, March 17, 2013 3:52 pm
Subject: Re: [Mristudio-users] Fwd: loading DSI dataset into DTIStudio
To: "DTI Studio, ROI Editor, DiffeoMap Questions/Support" <mristudio-users at mristudio.org>, susumu at mri.jhu.edu
Cc: Vadim Malis <vadmalis at gmail.com>


> Hi Susumu
>  I apologize for using your direct mail but I had some problems 
> logging into
>  the forum.
>  I have the following questions:
>  
>  
>  *LDDMM*
>  
>  1)      We are first time users of LDDMM and and are encountering a problem
>  when we use the single channel registration: "file not found:
>  process.md5".  Further, we are using the LDDMM to correct for distortions
>  in muscle DTI images, these images are acquired rather anisotropically
>  (1.4mm in plane and 5 mm thickness), so the requirement for isotropic 
> voxel
>  in LDDMM is a stretch.  Is there a LDDMM algorithm as a 2D version
>  available where we correct on slice by slice basis as the maximum
>  distortions are along the in-plane phase encode.  Our T2 and b0 
> slices are
>  matched acquisitions.  If a 2D version is not available, would it be 
> OK to
>  reslice the T2 and DTI volumes to be isotropic despite a highly anisotropic
>  acquisition?
>  *Fiber Tracking*
>  
>  1)  When performing tracking in DTIStudio, is there a way to obtain a 
> track
>  through a selected voxel.  The reason I ask is that when selecting 
> even a
>  single voxel ROI, the number of tracks through it more than one; this 
> is
>  from the brute force aspect of the algorithm, I guess.  We are trying 
> to
>  get muscle fiber pennation angles using seed points starting near the
>  aponeurosis.  It will help us in trying to get the fiber that originates
>  from the seed point rather than the ROI at that seed point (or is 
> there a
>  non-brute force available).
>  
>  2) This feature (getting the fiber coordinates from a seed voxel) is 
> also
>  important for our brain fiber atlases where we are trying to evaluate 
> the
>  quality of tracking in atlases generated by different methods.  One method
>  suggested is the sum of distances of equally spaced points along the 
> fiber
>  tract starting from the seed point in atlas and subjects. The other method
>  to compare is the track end point divergence. When several tracks go
>  through a single voxel ROI, it makes comparisons difficult.
>  
>  
>  Thanks
>  
>  Usha
>  
>  
>  
>  
>  
>  On Fri, Mar 15, 2013 at 4:27 PM, susumu mori <susumu at mri.jhu.edu> wrote:
>  
>  > OK, Deepa,
>  >
>  > I believe you did a typical DSI study. Because it would be of 
> interest for
>  > many DtiStudio users, allow me to share my response to you, 
> together with
>  > your images.
>  >
>  > There are two important differences between DTI and DSI.
>  > First, of course, DSI requires many more gradient orientations. In 
> your
>  > case, you used 257 directions. In general, 100 orientation measurement
>  > takes more than 10 min. So, 257 orientations would take about 30 
> min. You
>  > repeated it twice. So, it must take 1 hour, if I'm not mistaken.
>  > I once asked Van Wedeen about how many orientations would be preferable.
>  > He said, "even 300 is very sparse, if you map them on the surface 
> of a
>  > sphere. So, the more the better" was his reply.
>  > On the other hand, if you use a model like spherical decomvolution, 
> there
>  > are papers demonstrating directions as few as 60 would give you decent
>  > estimation of crossing fibers. I don't have an answer to it.
>  >
>  > Second,  high-angular resolution imaging like DSI requires higher b
>  > values. This actually have more profound effects on your experiment 
> design
>  > and image quality. DTI typically uses b = 700-1,000. The higher you 
> go, the
>  > more signal you loose, more motion artifacts you get, and more eddy 
> current
>  > distortion you suffer. On top of it, because each image is so noisy,
>  > detection and correction of artifacts become more difficult. DSI 
> requires b
>  > = 3,000 - 30,000, which is much higher than DTI.
>  >
>  > Some people believe DSI data naturally includes DTI data. 
> Therefore, once
>  > you get DSI data, you wouldn't loose anything. However, that is not 
> the
>  > case, because you suffer from SNR loss and more artifacts. This is 
> why it
>  > is difficult to adopt DSI protocols for routine research and clinical
>  > studies.
>  >
>  > I attached a nice paper by Derek discussing this issue.
>  >
>  > Now, let's go back to your images. The b0 looks good. The DWIs are 
> what
>  > you would expect from high b-value DWIs. Your images look very 
> similar to
>  > Fig. 3 in Derek's paper with b=2,000-3,000. So your data are fine. 
> They
>  > don't look like typical DTI data because I bet that the b-values 
> you used
>  > are b = 2,000-3,000.
>  >
>  > You have slight ghosting in the background, but it seems 
> calibration error
>  > for your EPI phase correction; not a major problem, I think.
>  >
>  > So, the bottom line is, your DICOM files were correctly read. The
>  > appearance of DWIs should be different between DSI and DTI 
> protocols and
>  > your images are what you expect.
>  >
>  > Hope this will help.
>  >
>  > Susumu
>  >
>  > On Fri, Mar 15, 2013 at 6:31 PM, Deepa Krishnaswamy <
>  > deepa.krishnaswamy1 at gmail.com> wrote:
>  >
>  >> Hi,
>  >> I have attached a power point with a few images.
>  >> Yes I did read the data as Mosaic. There are 515 gradient 
> directions in
>  >> total, which is comprised of repeated 257 directions plus 1 b0.
>  >> I do know that DTIStudio does not support DSI data analysis, but 
> isn't it
>  >> still possible to fit the DTI model to DSI data?
>  >> I also just wanted to run through the LDDMM pipeline to get our data
>  >> registered to the same space as the JHU MNI WM atlas, and then use 
> our own
>  >> tractography algorithms.
>  >> I hope this is possible, thanks.
>  >>
>  >> Deepa
>  >>
>  >> On Thu, Mar 14, 2013 at 10:20 AM, susumu mori <susumu at mri.jhu.edu> 
> wrote:
>  >>
>  >>> Hi Deepa,
>  >>>
>  >>> Did you read the data as Mosaic?
>  >>> Please send me the actual images in PowerPoint.
>  >>>
>  >>> If you are using non off-the-shelf image protocol, it is possible 
> that
>  >>> DtiStudio can't read the user-defined data format.
>  >>> If you get a custom data acquisition method from somebody, I encourage
>  >>> you to talk with them about how to read the data. DtiStudio 
> doesn't support
>  >>> DSI data analysis anyway.
>  >>>
>  >>> Susumu
>  >>>
>  >>> On Tue, Mar 12, 2013 at 9:50 PM, Deepa Krishnaswamy <
>  >>> deepa.krishnaswamy1 at gmail.com> wrote:
>  >>>
>  >>>> Hi,
>  >>>> I have a DSI dataset in MOSAIC format, along with the 
> corresponding b
>  >>>> btable. I noticed that after loading in the data, some of it appears
>  >>>> extremely blurry/shifted. I know that the data actually does not 
> look like
>  >>>> this, as I have used other programs to view the raw data. Has 
> anybody else
>  >>>> encountered this problem?
>  >>>> Thanks,
>  >>>>
>  >>>> Deepa
>  >>>>
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>  >>>
>  >>
>  >
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