# Questions of overshading of Grown from seeds option to build up bronchus model

**URL:** <https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042>\
**Category:** Support\
**Tags:** build, segmentation\
**Created:** [August 11, 2025, 6:39am UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042 "2025-08-11T06:39:10Z")\
**Posts on this page:** 8\
**Page:** 1

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**Author:** ![jamesgyh](https://avatars.discourse-cdn.com/v4/letter/j/65b543/32.png) [@jamesgyh](https://discourse.slicer.org/u/jamesgyh)\
**Post date:** [August 11, 2025, 6:39am UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/1 "2025-08-11T06:39:10Z")

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Hi everyone here, after I checked the video [https://www.youtube.com/watch?v=9iiOBmaP8bA](https://www.youtube.com/watch?v=9iiOBmaP8bA) of growing from seeds, I immediately started up my trial on my CT case, however, even though I zoomed in a lot on the small bronchi, the airway build always takes part from the lung, and the smaller bronchi can’t be built nicely. How can I fix these problems?

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**Author:** ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)\
**Post date:** [August 11, 2025, 6:47am UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/2 "2025-08-11T06:47:43Z")

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It should be no problem segmenting up to 3-4 generations (level of branching) of bronchi, which should be sufficient for surgical planning. Up to how many generations are you trying to segment?Can you post a few screenshots?

One thing to pay attention when you correct seeds in low-contrast areas that you always need to paint on both sides of the boundary (when you paint a bit of “airway” inside a bronchus then always paint a bit of “parenchyma” outside the bronchus to prevent leaking).

I would also recommend to check out fully automatic “AI” segmentation tools (LungCTAnalyzer, MONAIAuto3DSeg, TotalSegmentator, DensityLungSegmentation), as you may find that they offer good enough segmentation for your use case.

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**Author:** ![jamesgyh](https://avatars.discourse-cdn.com/v4/letter/j/65b543/32.png) [@jamesgyh](https://discourse.slicer.org/u/jamesgyh)\
**Post date:** [August 11, 2025, 10:16am UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/3 "2025-08-11T10:16:28Z")

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Thank you for ur answer, that is a nice advice on painting parenchyma around the small bronchus, I struggled with the problem of leaking so much before, as I was following only the Lung, airway, and others for seeds growing. And I will try the AI segmentation tool today.

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**Author:** ![jamesgyh](https://avatars.discourse-cdn.com/v4/letter/j/65b543/32.png) [@jamesgyh](https://discourse.slicer.org/u/jamesgyh)\
**Post date:** [August 11, 2025, 10:21am UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/4 "2025-08-11T10:21:47Z")

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By the way, May I kindly ask if there is any possible downloading link for the AI tool LungCTSegmentor as I am also watching youtube videos about that but nothing available in the extensions

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**Author:** ![eNable\_Polska](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/enable_polska/32/3275_2.png) [@eNable\_Polska](https://discourse.slicer.org/u/eNable_Polska)\
**Post date:** [August 13, 2025, 6:12pm UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/5 "2025-08-13T18:12:42Z")

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> **[GitHub - Slicer/SlicerLungCTAnalyzer: This is a 3D Slicer extension for segmentation and...](https://github.com/Slicer/SlicerLungCTAnalyzer)**
>
> This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.

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**Author:** ![Arash1](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/arash1/32/78865_2.png) [@Arash1](https://discourse.slicer.org/u/Arash1)\
**Post date:** [August 13, 2025, 9:35pm UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/6 "2025-08-13T21:35:09Z")

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Hello

Few questions

1. What is your image spacing? and have you tried resampling?
2. Have you tried [Slicer/SlicerAirwaySegmentation: CLI module for airway segmentation starting from chest CT images](https://github.com/Slicer/SlicerAirwaySegmentation#airway-segmentation)
3. What about [New extension: MONAI Auto3DSeg - raise the bar in AI medical image segmentation - Announcements - 3D Slicer Community](https://discourse.slicer.org/t/new-extension-monai-auto3dseg-raise-the-bar-in-ai-medical-image-segmentation/35680)

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**Author:** ![jamesgyh](https://avatars.discourse-cdn.com/v4/letter/j/65b543/32.png) [@jamesgyh](https://discourse.slicer.org/u/jamesgyh)\
**Post date:** [August 14, 2025, 12:16pm UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/7 "2025-08-14T12:16:20Z")

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Hi, my previous image spacing is 1.5mm, which is a bit too thick. I also tried the airway segmentation model, but the result is weird as it doesn’t only contain the airway but also the whole lung.

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**Author:** ![Arash1](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/arash1/32/78865_2.png) [@Arash1](https://discourse.slicer.org/u/Arash1)\
**Post date:** [August 14, 2025, 12:29pm UTC](https://discourse.slicer.org/t/questions-of-overshading-of-grown-from-seeds-option-to-build-up-bronchus-model/44042/8 "2025-08-14T12:29:03Z")

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1.5 is Alright but with lung I wouldn’t expect fine details. If you use MONAI, the LUNGS task uses a 1.5 mm resampling but if you resample your image beforehand you will be able to extract more details but might require smoothing.

 ![image](https://us1.discourse-cdn.com/flex002/uploads/slicer/original/3X/9/7/97b86c527390c97ca5b7ed47e546fcacb890e0f2.jpeg)