Hi,

With a great help from @jr and his magic 'df3util' following images was
rendered based on DCOM data from this site:https://www.dicomlibrary.com

They also available online:
https://povlab.online/?scene=dicom.pov
https://povlab.online/?scene=dicom_iso.pov

Rendering time is ~6 sec and ~14 sec respectively.

All the best.
--
YB

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Attachments:
Download 'dicom_1.png' (221 KB) Download 'dicom_2.png' (269 KB)

Preview of image 'dicom_1.png'

Preview of image 'dicom_2.png'

hi,

yesbird <sya### [at] gmailcom> wrote:
> With a great help from @jr and his magic 'df3util' following images was

</blush></grin>


> rendered based on DCOM data from this site:https://www.dicomlibrary.com
>
> They also available online:
> https://povlab.online/?scene=dicom.pov
> https://povlab.online/?scene=dicom_iso.pov
>
> Rendering time is ~6 sec and ~14 sec respectively.

the colours in the latter really bring out the details.  very cool.


>
> All the best.
> --
> YB


regards, jr.

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Il 19/04/2024 11:48, yesbird ha scritto:
> Hi,
> 
> With a great help from @jr and his magic 'df3util' following images was
> rendered based on DCOM data from this site:https://www.dicomlibrary.com
> 
> They also available online:
> https://povlab.online/?scene=dicom.pov
> https://povlab.online/?scene=dicom_iso.pov
> 
> Rendering time is ~6 sec and ~14 sec respectively.
> 
> All the best.
> -- 
> YB
> 
> 
An excellent result!
I've performed a few renders from DICOM series years ago, but the 
process was painfully slow.

Paolo

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On 26/04/2024 10:40, Paolo Gibellini wrote:
> An excellent result!

Thanks :)

> I've performed a few renders from DICOM series years ago, but the 
> process was painfully slow.

With a help of df3util it becomes smooth and fast.
--
YB

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