Dear Woo Suk,
Thanks; that's very useful information (I didn't know about Colin
Studholme's software!).
You commented about a comparison of results obtained with the various
methods. I remember seeing a couple of posters at the AES in December
(maybe one was yours?). Do you know of a formal comparison of the
various techniques (or are you maybe writing one ;-))?
Best wishes,
Alexander
-----Original Message-----
From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]]
On Behalf Of "Woo Suk, Tae"
Sent: 20 January 2008 14:38
To: [log in to unmask]
Subject: Re: [SPM] ictal vs interictal single subject
Dear Luca Bellesi.
RView also provides the analysis tool such as SISCOM.
You can download RView at the website of
http://www.colin-studholme.net/software/software.html.
And you can also do SPECT subtraction with SPM2.
As Alexander commented, realignment (ictal-interictal SPECT),
coregistration (T1 MRI, SPECT),
normalization to template, intensity normalization of SPECT (use Masks
toolbox), subtraction of SPECTs,
making positive and negative images, mask two standard deviation of
image intensity, overlay to T1.
These processes are basically similar to Terry J O'Brien's SISCOM
protocol.
I have compared among ISAS toolbox, manual SISCOM, automated SISCOM of
Analyze.
I think manual SISCOM using Analyze (Mayo, BIR) provides better results
than others.
But, it is dependent to user's skill and knowhow.
Best Regards!
Woo Suk, Tae Ph.D
Chuncheon, Korea
----- Original Message -----
>> From: "Hammers, Alexander" <[log in to unmask]>
>> To: [log in to unmask]
>> Date: 2008-01-19 02:15:05
>> Subject: Re: [SPM] ictal vs interictal single subject
>>
>> Dear Luca,
>>
>>
>> You're after a kind of SISCOM analysis, right?
>>
>> To make any statistical inference, you have to have some variance,
but
>> you don't have between-subject variability with just two images.
>>
>> The SISCOM "trick" is to derive the variability between voxels (and
>> within subject). So you need to coregister your images; intensity
>> normalise them; derive the distribution of differences across voxels
>> (normally involving some kind of masking or thresholding); and then
>> threshold the statistical output.
>>
>> If you have access to Analyze from the Mayo, there's now a button
that
>> guides you through it all step-by-step. If not, you could use many
kinds
>> of imaging software for it, including probably SPM2 or MRICro(n).
Terry
>> J O'Brien has worked a lot on it - maybe they've got specific
software
>> too.
>>
>> Hope this helps,
>>
>> Alexander
>>
>> -----Original Message-----
>> From: SPM (Statistical Parametric Mapping)
[mailto:[log in to unmask]]
>> On Behalf Of Luca Bellesi
>> Sent: 18 January 2008 10:54
>> To: [log in to unmask]
>> Subject: [SPM] ictal vs interictal single subject
>>
>> >> hy,
>> >> i'm a new user of SPM2 and i've a question:
>> >> is possible to subtract the interictal spect image VS the ictal of
the
>> >> same
>> >> subject with SPM2, to see the significant voxel, without compare
with
>> >> the
>> >> healthy normal database?(simple subtraction of interictal and
ictal
>> >> spect)
>> >> if it is possible please explain with details the procedure in
SPM2,
>> >> beacouse i've tried to do this but i didn't find a solution.
>> >> i give my email adress: [log in to unmask]
>> >> thanks
>> >>
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