Hi - this simple step is described in the original JCAT paper - if you want to know more about exactly how it is done, then you should study the simple scripts that SIENA uses.
Cheers, Steve.


On 23 Jul 2010, at 08:05, Michele Placci wrote:

Dear expert, you can tell me where to found information (article or book) about the "calibration
process that involves scaling a known image" please? what is the mathemathics at the basis?

than you

2010/7/21 Michele Placci <[log in to unmask]>
Thank you.

 About the Bayesian framework and Markov Random Field we will see later.
About the article found in
can you explain the mathemathics at the base of the "calibration
process that involves scaling a known image" please?

thank you.

2010/7/21, Mark Jenkinson <[log in to unmask]>:
> Hi,
>
> The Bayesian framework and Markov Random Field are part of
> the segmentation method - FAST - which you can read about in:
>    Y. Zhang, M. Brady, and S. Smith.
>    Segmentation of brain MR images through a hidden Markov random
> field model and the expectation maximization algorithm.
>    IEEE Trans. on Medical Imaging, 20(1):45-57, 2001.
> this is linked from the "FAST Research Page" which you
> can find from the FAST online documentation.
>
> If you read the SIENA technical report at:
>    http://www.fmrib.ox.ac.uk/analysis/research/siena/siena.pdf
> then you can see in equation 2 and the discussion
> afterwards that the true area, A, and volume, V, are not
> needed, but instead the ratio, f, is found by a calibration
> process that involves scaling a known image, which then
> allows the %BVC to be calculated from the edge motion, l,
> which is defined in equation 1.
>
> I hope this helps.
> All the best,
>       Mark
>
>
>
> On 21 Jul 2010, at 06:42, Michele Placci wrote:
>
>> Dear Prof. Smith,
>>
>> thank you for your fast reply.
>>
>> For example in your article "Brain atrophy analysis using single and
>> multiple time point data" in the section
>> 2.5 change analysis you talk about: bayesian framework and hidden
>> markov random field.
>> Can you tell me please where and how do you applied them?
>>
>> In the section 2.6 Percentage brain volume change quantification,
>> you used A (actual brain area) and V (actual brain
>> volume), but how do you calculated them?
>>
>> Thank you in advance.
>>
>>
>>
>>
>> 2010/7/21 Stephen Smith <[log in to unmask]>
>> Hi - there isn't really any "maths" as such that is particularly
>> interesting I think - SIENA is just a set of heuristic algorithms
>> tuned for a specific application.   Though you might be referring to
>> a lower-level - for example the maths underneath BET or FAST - in
>> which case those relevant papers have more information?
>>
>> Cheers.
>>
>>
>>
>> On 21 Jul 2010, at 10:56, Michele Placci wrote:
>>
>>> Dear experts, can you tell me please if there is some publications
>>> that talk about the MATHEMATHICS underlying the calculation of
>>> volumes, such as adopted by SIENA?
>>>
>>> I read the article "Brain atrophy analysis using single and
>>> multiple time point data" Stephen M. Smith et al
>>> but I'd like to know more details.
>>>
>>> Can you help me please?
>>> Thank you.
>>
>>
>> ---------------------------------------------------------------------------
>> Stephen M. Smith, Professor of Biomedical Engineering
>> Associate Director,  Oxford University FMRIB Centre
>>
>> FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
>> +44 (0) 1865 222726  (fax 222717)
>> [log in to unmask]    http://www.fmrib.ox.ac.uk/~steve
>> ---------------------------------------------------------------------------
>>
>>
>>
>>
>



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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director,  Oxford University FMRIB Centre

FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
+44 (0) 1865 222726  (fax 222717)
[log in to unmask]    http://www.fmrib.ox.ac.uk/~steve
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