http://imagej.273.s1.nabble.com/color-doppler-ultrasound-quantification-tp5007582p5016050.html
threshold the S (saturation) channel. The saturation value is zero for
> Dear dr. Straatman,
>
> I'm sorry because I acknowledged you only now for your response.
> I shelved the project until now, but now it is the time for me to complete
> the work.
> You suggested me a way to quantify the blue and red areas in my image. It
> is important to say that I don't need to separate the measurement of the
> blue and red areas, but them could be merged.
> I try to explain better what the ImageJ should give me. I need to quantify
> the proportion of the blue+red areas compared with the area enclosed in
> the
> ROI.
> I send you another image where I created around the region of interest
> (ROI) a perimeter with the freehand selections function. Now, I need to
> calculate the proportion(ratio) between the blue + red areas and the area
> enclosed in the yellow line. I could also calculate the ratio in a second
> time, but I need to have both the areas (total inside the yellow line and
> blue+red areas).
> I'm able to measure the area inside the yellow line but I'm not able to
> keep on.
>
> I hope you could suggest me how I can complete the analysis.
>
>
> Kind regards and thanks a lot for your time.
>
> Alberto Contri
>
> 2014-05-06 11:30 GMT+02:00 Straatman, Kees (Dr.) [via ImageJ] <
>
[hidden email]>:
>
>> Dear Alberto,
>>
>> Try something like color > split channels. Select the individual red and
>> blue channels and run on each a threshold (Image > Adjust > threshold)
>> with
>> settings that select the areas you are interested in. Under Analyse >
>> Set
>> Measurements select Area and Area fraction and run Analyse > Analyse
>> Particles for both your red and blue image. Hope this gives the result
>> you
>> are after.
>>
>> Best wishes
>>
>> Kees
>>
>> -----Original Message-----
>> From: ImageJ Interest Group [mailto:[hidden email]
>> <
http:///user/SendEmail.jtp?type=node&node=5007592&i=0>] On Behalf Of
>> albertocontri
>> Sent: 05 May 2014 23:19
>> To: [hidden email]
>> <
http:///user/SendEmail.jtp?type=node&node=5007592&i=1>
>> Subject: color doppler ultrasound quantification
>>
>> Hallo everyone,
>> I'm new of the forum and of ImageJ. Now, I ask a question that have
>> probably an obvious answer.
>>
>> I need to quantify the amount of red and blue pixels in an image, and
>> the
>> proportion of the red and blue areas compared to the whole gray image.
>> The
>> image that I need to analyze is a color doppler image, in which the
>> colours
>> represented the blood vessels. I need to quantify the proportion of the
>> boold vessels in the organ that I examine. If need, I could attach an
>> example.
>>
>> I hope one of you could help a wretched researcher...
>>
>> Thanks in advance
>>
>> Alberto
>>
>>
>>
>> --
>> View this message in context:
>>
http://imagej.1557.x6.nabble.com/color-doppler-ultrasound-quantification-tp5007582.html>> Sent from the ImageJ mailing list archive at Nabble.com.
>>
>> --
>> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>>
>> --
>> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>>
>>
>> ------------------------------
>> If you reply to this email, your message will be added to the discussion
>> below:
>>
>>
http://imagej.1557.x6.nabble.com/color-doppler-ultrasound-quantification-tp5007582p5007592.html>> To unsubscribe from color doppler ultrasound quantification, click here
>> <
>> .
>> NAML
>> <http://imagej.1557.x6.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>
>
>
> Screen 1.PNG (178K)
> <
http://imagej.1557.x6.nabble.com/attachment/5016049/0/Screen%201.PNG>
>
>
>
>
> --
> View this message in context:
>
http://imagej.1557.x6.nabble.com/color-doppler-ultrasound-quantification-tp5007582p5016049.html> Sent from the ImageJ mailing list archive at Nabble.com.
>
> --
> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>