README.md

metadata

license: cc-by-nc-4.0
task_categories:
  - image-segmentation
  - surgical-workflow
tags:
  - medical
  - microsurgery

MAVIS (Micro-surgical Artificial Vascular Anastomosis)

Dataset Overview

MAVIS is a microsurgical dataset comprising 19 videos of artificial vascular anastomosis procedures performed by three expert microsurgeons at Korea University. For each video frame, it provides:

• Pixel-level segmentation of seven tool categories
• Frame-level workflow annotations: surgical stage, phase, and step

This dataset enables research on both surgical tool segmentation and surgical workflow recognition in ultra-fine microsurgical environments.

Data Collection

1. Subjects & Cases

   • 19 recorded anastomosis sessions on an artificial vessel simulator
   • Surgeon assignments:
     • CASE 01–07: Surgeon 1 (Jaemin Lee)
     • CASE 08–14: Surgeon 2 (Yeongyun Ko)
     • CASE 15–19: Surgeon 3 (Jaejun Nam)

2. Acquisition Setup

   • Microscope/Camera model: ???
   • Original resolution: ??? px
   • Frame rate: ??? fps
   • Cropped frame size: 1920 × 1072 px

3. Annotation Tools & Process

   • Segmentation: ???
   • Workflow: Manual tagging of stage/phase/step by the non-medical

4. Annotators

   • (Three fellowship-trained microsurgeons)(확인 필요)
   • Labels applied following a standardized workflow guideline

Data Details

Directory Structure

MAVIS
├── frames
│   ├── CASE01
│   │   ├── image_00001.jpg
│   │   └── ...
│   ├── ...
├── annotations
│   ├── long-term.json
│   ├── short-term.json
│   ├── segmentations
│   │   ├── CASE01
│   │   │   ├── image_00001.png
│   │   │   └── ...
│   │   ├── ...
│   └── segmentations_with_keypoint
│       ├── CASE01
│       │   ├── image_00001.png
│       │   └── ...
│       ├── ...
├── fig
└── README.md

Annotation Formats

• short-term.json
  • For each frame: polygon mask data for seven tool classes(CASE마다 약 64장 정도씩만 있는 것 언급하는게 좋을지?)
• long-term.json
  • For each frame: stage, phase, and step labels

Stage–Phase–Step Hierarchy

The workflow annotations are organized into six Stages, each containing one or more Phases, which in turn consist of individual Steps. Below is the full breakdown with descriptions:

1. First tying (forming the first knot)

   1. Phase: Suturing – place and position the suture
      • Needle holding: grasp the suture needle securely with the needle holder
      • Needle passing: insert the needle through both edges of the vessel and pull it through
      • Needle dropping: release the needle at the optimal position for tying (≈5 o’clock)
   2. Phase: Knot tying – create the knot
      • 1st knot: wrap the free end of the suture around the instrument and tighten
      • 2nd knot: repeat wrapping in the opposite direction and tighten
      • 3rd knot: final wrap to secure the stitch
   3. Phase: Cutting – trim excess suture
      • Cutting: use scissors to sever both ends of the suture (can cut both at once or sequentially)

2. Second tying (forming the second knot at a rotated position) (6개 stage가 되려면 120°, 180° tying을 분리해야 하는데 설명을 추가할지?)

   • Subtasks: identical to First tying (Suturing → Knot tying → Cutting)

3. Front side tying (additional knot on the front face between first and second)

   • Subtasks: identical to First tying

4. Flip (reorient vessel for back‐side access)

   • Phase: Flip – flip the vessel clamp
     • Flip clamp: reposition the clamp so that the vessel’s backside faces the camera

5. Back side tying (forming knots on the backside between first and second)

   • Subtasks: identical to First tying

Tool Segmentation Classes

The dataset contains the following classes:

Class ID	Class Name	RGB Color
0	forceps	(253, 0, 26)
1	scissors	(43, 253, 62)
2	vascular_clamps	(0, 43, 249)
3	needle_holder	(255, 253, 66)
4	vessel	(253, 40, 250)
5	needle	(38, 255, 254)
6	thread	(198, 161, 251)

Examples of Labeled Data

Figure 1, 2, 3 shows some examples of labeled data.

Figure 1: Example of Segmentation Mask of Image 1

Figure 2: Example of Segmentation Mask of Image 2

Figure 3: Example of Segmentation Mask of Image 3

Citation

@misc{
}