PitVis is one of five different sub-challenges proposed under the MICCAI 2023 EndoVis framework. Participants can obtain a training dataset of endoscopic pituitary surgery videos in PitVis, which includes annotations for steps and instruments in real-time. The evaluation of unseen test data will be conducted via Docker submission. The test data will not be released to participants. Note that the authors divided the original video data into image data and randomly split it into training and validation sets in an 8:2 ratio, with the image statistics reported in this paper reflecting the split data.
The pituitary gland, located at the base of the brain, is commonly referred to as the "master gland," performing essential functions required to sustain human life. The estimated prevalence of clinically relevant tumors on the pituitary is 1 in 1000 in the population, which can be life-limiting if untreated. Endoscopic pituitary surgery is considered the "gold standard" treatment method, entering directly through the nostril to excise the tumor directly. This surgery is particularly challenging due to the limited working space, which restricts the flexibility of vision and instrument manipulation, potentially leading to poor surgical techniques and adverse outcomes for the patient. Computer-assisted intervention can help overcome these challenges by providing guidance during the operation for senior surgeons and surgical teams, and support for junior surgeons during training.
Dimensions | Modality | Task Type | Anatomical Area | Number of Categories | Data Volume | File Format |
---|---|---|---|---|---|---|
2D | Endoscopy | Classification | Pituitary | 15 | 120024 | PNG |
Dataset Statistics | size |
---|---|
min | (720, 1280) |
median | (720, 1280) |
max | (720, 1280) |
Label Value | Label | Number |
---|---|---|
-1 | Operation ended | 10851 |
1 | Nasal corridor creation | 2902 |
2 | Anterior sphenoidotomy | 11243 |
3 | Septum displacement | 1386 |
4 | Sphenoid sinus clearance | 18336 |
5 | Sellotomy | 17132 |
6 | Durotomy | 6431 |
7 | Tumour excision | 28836 |
8 | Haemostasis | 14117 |
9 | Synthetic graft placement | 3536 |
10 | Fat graft placement | 2388 |
11 | Gasket seal construct | 841 |
12 | Dural sealant | 910 |
13 | Nasal packing | 72 |
14 | Debris clearance | 1043 |
Local Visualization.
Dataset
|--- images
| |---train
| |---image1.png
| |---image2.png
| |---.......
| |---val
| |---image1.png
| |---image2.png
| |---.......
|—— train.txt
|—— val.txt
Adrito Das (University College London, London, UK)
Yitong Zhang (University College London, London, UK)
Sophia Bano (University College London, London, UK)
Francisco Vasconcelos (University College London, London, UK)
Dimitris Psychogyios (University College London, London, UK)
Danyal Z. Khan (University College London, United Kingdom)
Official Website: https://opencas.dkfz.de/endovis/challenges/2023/
Download Link: https://www.synapse.org/Synapse:syn51232283/wiki/621581
Article Address: https://zenodo.org/records/8315050
Publication Date: 2023
@misc{stefanie_speidel_2023_8315050,
author = {Stefanie Speidel and
Lena Maier-Hein and
Danail Stoyanov and
Sebastian Bodenstedt and
Annika Reinke and
Sophia Bano and
Alexander Jenke and
Martin Wagner and
Marie Daum and
Ala Tabibian and
Adrito Das and
Yitong Zhang and
Francisco Vasconcelos and
Dimitris Psychogyios and
Danyal Z. Khan and
Hani J. Marcus and
Aneeq Zia and
Xi Liu and
Kiran Bhattacharyya and
Ziheng Wang and
Max Berniker and
Conor Perreault and
Anthony Jarc and
Anand Malpani and
Kimberly Glock and
Haozheng Xu and
Chi Xu and
Baoru Huang and
Stamatia Giannarou},
title = {Endoscopic Vision Challenge 2023},
month = sep,
year = 2023,
publisher = {Zenodo},
doi = {10.5281/zenodo.8315050},
url = {https://doi.org/10.5281/zenodo.8315050}
}
Original introduction article is here.