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kopachini

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kopachini last won the day on July 16 2022

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  1. It depends on what MRI sequences you have... You will have the best results with 3D sequences (space, spc, iso... or however the vendor named it). If you use normal 2D sequences, you will have a lot of stairstep artifacts.
  2. I dry only some filaments, and then I use food dryer.... 75* C for 7-8 hours. I have never dried PLA filament (maybe only once and it was transparent PLA).
  3. What US machine was study performed on? You need to ask for volume DICOM data, but depends on which US machine was scan performed, because in 3D Slicer you can make model from Ge, Philips and Siemens US machines.
  4. It could be good if you have postcontrast CT study, then you'll have good contrast between tissues. If you want to have nice results, you should do manual segmentation of the muscles. Intestines are pain in the ass to segment (maybe try to find fat patient that had oral contrast ingested before study).
  5. Depending the machine they have. New models have export stl function. Older models have export DICOM data (but i dont rememember should you choose compressed or uncompressed), and then import it in 3D slicer and segment it.
  6. I would do same as here : https://www.researchgate.net/publication/337148618_Efficacy_evaluation_of_three-dimensional_printing_assisted_osteotomy_guide_plate_in_accurate_osteotomy_of_adolescent_cubitus_varus_deformity/figures?lo=1 Calculate angle of the bone defect and then correction angle to have straight long bone. Merge two planes (or veeery narrow square, width of the saw or little wider) at the desired angle.... then merge them to the extruded part of the surrounding bone in the shape you want to your guide be. And that should be it.
  7. Try find it under 3D models library
  8. Hmm, I don't have any experience with InVesalius, but you could segment it with 3D Slicer. CT scan of the mandible shows mandibular nerve canal really good, up to mental foramina, but visualization of the nerve is poor. You could do fusion of the CT and MR of the same patient lower jaw if you insist of showing nerve itself, or perform segmentation using MR images, but then bone visualization could be pretty hard, and spatial resolution is often low (depending scanning sequences being used).
  9. Some of you could see it on my Instagram account, but for those who didn't, here are some of the tips if you want a really transparent and water tight models: use Polymaker PolySmooth transparent or Prusament PVB filament. According to Prusa you should set layer height to 0.3mm, but I print with 0.2 mm layer height with very satisfying results. Wall thickness 0.6 (you could make 0.8mm but as thicker it gets, model is less transparent so I didn't go at 0.8mm, maybe once I will try). After the print scrape away some irregularities and after that you can put it in chamber for vapor smoothing with isopropyl alcohol. If you don't own one (as me) just spray the model (inside and outside) with IPA for smoothing results. Don't be aggressive as too much alcohol on the model softens and dissolves PVB so it is better to spray a little bit than after drying, spray it again. Bellow is the example of my aorta model and you can see catheter and guidewire really well.
  10. Hi @yatay, I did long time ago... but not since because no one didn't ask for it. To be short, as for now, using 3D Slicer you can make stl model from GE and Philips ultrasound DICOM data
  11. Hi David, don't use this shading reconstruction for segmentation. You have to scan desired volume (baby face) and then that volume you have save as uncompresed DICOM data if I recall (you will have several choices from drop down menu, and you can try to save as raw dicom data, compresed dicom data, too... and give it a try and open it in 3D Slicer).. Hope this helps a little bit, I didn't do that for 3 years now and I have forgot all the exact steps how to properly save data in GE US for segmentation.
  12. you have to have 3d volume datasets to make models out of rotational angio... try to copy several different types of files from one study and open them in 3d slicer and you will know what files to take for model making. i had similar problem but had multiple files of same study and open them one by one and i know what types i have to have for rotational angio.
  13. Version 1.0.0

    5 downloads

    Blood pool model of persistent left superior vena cava that confluence with coronary sinus. Also present Tetralogy of Fallot. Neonatal heart. ventricular, septal, defect, congenital, heart, disease, superior, vena, cava, vessels, .stl, 3d, model, printable, ventricle, heart, auricle, coronary, sinus, pulmonary, trunk, great, vessels,
    $20
  14. At my department we have Intellispace Portal 7 and I am quite pleased with it, depending what you want to do with it. The major thing is that there is possibility to export .stl file from volume rendered recons (short VRT) from version 6 or 7 and above, which is not possible from Siemens Syngo. Also we have Philips Azurion C-arm and when you perform rotational intrarterial angiography it is possible to make VRT 3D model and also export it into Intellispace Portal (I did that only once when Philips aplicator was at my department but will have to do it more when I am back after my final exam). Also, I tried version Intellispace 9 or 10 (not sure which one) at RSNA meeting and it looks pretty nice, too. The thing is that all software in workstations have the same algorithms for automated segmentation and generation VRT models that are based on different threshold values for different tissue density and as said before, the best visualized tissues are those that have significant contrast to other tissue (like bone or contrast blood to surrounding soft tissue). Organs like liver, kidneys etc. are composed of different density tissues that have different density voxels on CT scan that can range from higher HU values in one voxel (blood vessel in post contrast scan of liver) to lower HU values (let say small area of lipids accumulated in hepatocytes), and if that area is near liver capsule where adjacent tissue is fat, you will have artefacts in your automated segmentation of liver. That is why I love manual or semi-automated segmentation for now until AI makes automated segementation more accurate (there was post about application of AI and segmentation in 3D slicer in some other topic).
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