# PET/CT segmentation for Head and neck cancer 

**URL:** <https://discourse.slicer.org/t/pet-ct-segmentation-for-head-and-neck-cancer/46312>\
**Category:** Support\
**Created:** [February 26, 2026, 7:54pm UTC](https://discourse.slicer.org/t/pet-ct-segmentation-for-head-and-neck-cancer/46312 "2026-02-26T19:54:07Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![Huda](https://avatars.discourse-cdn.com/v4/letter/h/7cd45c/32.png) [@Huda](https://discourse.slicer.org/u/Huda)\
**Post date:** [February 26, 2026, 7:54pm UTC](https://discourse.slicer.org/t/pet-ct-segmentation-for-head-and-neck-cancer/46312/1 "2026-02-26T19:54:07Z")

</div>

Hi,

I would like to know which semi-automatic segmentation tools are available in 3D Slicer and could be used to segment tumours in head and neck cancer patients on PET/CT images.

I am used to ‘Level Tracing’, but I could not find a paper about this method.

Could you please guide me if there is a method used for both image modality, and if there is an article about ‘Level tracing’

Thank you

---

<div class="post-metadata">

**Author:** ![pieper](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/pieper/32/8_2.png) [@pieper](https://discourse.slicer.org/u/pieper)\
**Post date:** [February 26, 2026, 8:31pm UTC](https://discourse.slicer.org/t/pet-ct-segmentation-for-head-and-neck-cancer/46312/2 "2026-02-26T20:31:35Z")

</div>

There are several resources. I haven’t personally tried them with recent Slicer versions but they should be working.

> **[Quantitative Image Informatics for Cancer Research](https://github.com/QIICR)**
>
> QIICR was a research project supported by the NIH National Cancer Institute ITCR program, award U24 CA180918, in 2013-2019 - Quantitative Image Informatics for Cancer Research

> **[GitHub - kyliekeijzer/Slicer-PET-MUST-segmenter: MUltiple SUV Thresholding (MUST)-segmenter is a...](https://github.com/kyliekeijzer/Slicer-PET-MUST-segmenter)**
>
> MUltiple SUV Thresholding (MUST)-segmenter is a semi-automated PET image segmentation tool that enables delineation of multiple lesions at once, and extracts the lesions' features.