[Rtk-users] Half Fan dataset

Simon Rit simon.rit at creatis.insa-lyon.fr
Wed Oct 30 19:22:14 EDT 2019


Hi,
with --proj_iso_x, you only move the detector, not the source. If you also
want to move the source, --source_x needs to be used. Hopefully the drawing
on the doc page <http://www.openrtk.org/Doxygen/DocGeo3D.html> helps to
understand this. So since you don't have any source offset in your geometry
file, you are in the first line and last line situation of your drawing
image.
Now, on the last line, what you're actually doing is imaging with the same
source arc but actually shifting the detector. This is equivalent to a 180°
source rotation with a larger rotation. You only need a weighting function
to account for the redundancy but this is not going to be the same one as
the one implemented because it needs to be on different side of the
detector/projections (as on the first line of your projections). In any
case, 180° is not enough, you need at least 180+fan angle and to combine
this with a short scan Parker weighting.
Simon

On Wed, Oct 30, 2019 at 6:00 PM <gabriele.belotti.bergamo at gmail.com> wrote:

> Hi Simon,
>
> Sorry for the late reply.
> I drew a sketch in two part to explain my doubts.
> First I drew 3 configurations for the geometry, representing my doubt
> towards what exactly is achieved by Isocenter Projection translation in the
> RTK geometry; i.e. does it result in a source translation or in a cone beam
> rotation (in XZ plane) to accommodate for the panel displacement? (I’m
> expecting the latter but I couldn’t properly check).
>
> The last two sketches represent the same concept with two of the possible
> geometries(of course I’d prefer the latter):
> The idea is to first rotate with the detector displaced on one side by
> 180° and then displace in the opposite direction and rotate of additional
> 180° (always clockwise rotation).
> Any comment or suggestion would be highly appreciated and eventually I
> will try to impose weights according to improve the reconstruction.
>
> PS: zoom in on the sketch, the resolution should be sufficient to read
> PPS: I’m also attaching a screenshot of a reconstruction achieved with the
> exotic geometry :^] and the xml I generated for it (beware that my detector
> is 298 mm wide and the displacement is of +/-120 mm)
>
> Best regards,
> Gabriele
>
>
>
> *Da:* Simon Rit <simon.rit at creatis.insa-lyon.fr>
> *Inviato:* martedì 29 ottobre 2019 18.21
> *A:* gabriele.belotti.bergamo at gmail.com
> *Cc:* rtk-users <rtk-users at public.kitware.com>
> *Oggetto:* Re: [Rtk-users] Half Fan dataset
>
>
>
> Hi Gabriele,
>
> Great that you moved forward.
>
> It's quite sure that the current implementation does not handle this new
> exotic geometry. So my suggestion would be to implement your own weights
> (e.g., using the python package).
>
> It's not clear to me what you're trying to achieve here but it seems to me
> that only the central part seen by all source positions has enough data
> (point of space which see at least 180° of source positions) to be
> reconstructible. Maybe you should draw your two cones at 90° and -90° to be
> sure of what you're doing? Don't hesitate to share such a drawing on which
> we could comment.
>
> Best regards,
>
> Simon
>
>
>
> On Tue, Oct 29, 2019 at 4:10 PM <gabriele.belotti.bergamo at gmail.com>
> wrote:
>
> Dear Simon and RTK users,
>
> I’ve been experimenting on the generation of Half Fan CBCT images
> successfully from reprojections of CTs starting from Simon’s suggestions.
> So far I was able to reconstruct images by displacing the detector in the
> X direction (+ or -) and completing a single rotation. Results were good
> and the FOV was of course larger than the one obtained from using the same
> virtual detector without displacement.
>
> I’ve taken the simulation a step further and I’m currently creating a
> geometry which is similar to the combination of “rtksimulatedgeometry -n
> 180 --proj_iso_x <displacement> -o g_1” and “rtksimulatedgeometry -n 180
> --proj_iso_x <(-1)*displacement> -o g_2 -f 180” (I’m rotating first between
> 0° and 180° while displacing by half detector size on +X and then 180° and
> 360° while displacing by half detector size on -X).
> With this single .xml I’m reprojecting a CT into a single .mha using
> rtkforwardprojections and then I’m using the output as input for rtkfdk.
>
> My results however suffer from a centered artifact, of semi-cylindrical
> shape, in my opinion caused by the superimposition of rays from the two
> beams around the isocenter.
> This is further supported by the fact that the more I displace the
> detector the smaller the artefact becomes (of course I can’t displace more
> than 50% of detector size).
> I guess a possible solution would be to have a perfect half-cone x-ray
> beam by shaping it using a collimator, but I’m not sure how to proceed on
> this in the simulated environment.
> Have you got any suggestions or observation on how to achieve a
> reconstruction based on this? (two rotations/acquistion given two opposite
> detector displacements)
>
> Thanks in advance,
> Gabriele
>
>
>
>
>
>
>
> *Da:* Simon Rit <simon.rit at creatis.insa-lyon.fr>
> *Inviato:* venerdì 11 ottobre 2019 13.10
> *A:* gabriele.belotti.bergamo at gmail.com
> *Cc:* rtk-users <rtk-users at public.kitware.com>
> *Oggetto:* Re: [Rtk-users] Half Fan dataset
>
>
>
> Hi,
>
> It's easy to generate, you need to offset your detector, either via the
> RTK geometry or by setting the first coordinate of the origin of your
> projection to something which makes the projection uncentered. For example,
> in the geometry :
>
> rtksimulatedgeometry -n 180 --proj_iso_x 100 -o g
>
> rtkprojectshepploganphantom -g g -o proj.mha
>
> rtkfdk -p . -g g -r proj.mha -o fdk.mha
>
> You can simulate from a CT image by following this example
> <http://wiki.openrtk.org/index.php/RTK/Scripts/ForwardProjection>.
>
> Simon
>
>
>
> On Fri, Oct 11, 2019 at 9:58 AM <gabriele.belotti.bergamo at gmail.com>
> wrote:
>
> Dear RTK users and developers,
>
> I’m currently experimenting with FDK reconstruction and I’m struggling to
> find a Half-Fan projection dataset to fiddle around.. Do you know where I
> can find one? I’ve taken into consideration generating a set of DRRs from
> an existing phantom. Any help or advice you can give me would be greatly
> appreciated, thanks!
>
> Gabriele Belotti
>
>
>
>
>
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