--- tags: - medical-imaging - cardiac - strain-analysis - ultrasound - synthetic task_categories: - other pretty_name: "STRAUS - Synthetic Cardiac Strain Ultrasound" size_categories: - n<1K --- # STRAUS — Synthetic Cardiac Strain Ultrasound Dataset ## Description The STRAUS dataset provides **18 synthetic patients** across **6 cardiac conditions** (3 patients each): | Condition | Patients | |-----------|----------| | Healthy | patient01–03 | | LBBB | patient04–06 | | LCx | patient07–09 | | LAD | patient10–12 | | RCA | patient13–15 | | RCA2 | patient16–18 | Each patient folder contains multi-modal imaging data: - **cine/** — cine MRI images and meshes - **tag1/, tag2/, tag3/** — tagged MRI images and meshes - **us/** — ultrasound images and meshes Additionally, **reference meshes** and a resource archive are included. ## File Structure ``` patient01_healthy/ cine/ image/ (MHD + RAW files) mesh/ (VTK files) tag1/ image/ mesh/ tag2/ image/ mesh/ tag3/ image/ mesh/ us/ image/ (usfrm00.mhd, usfrm00.raw, ...) mesh/ (VTK files) ... patient18_rca2/ ... reference_mesh_1/ RefMeshP1.vtk reference_mesh_2/ RefMeshP2.vtk reference_mesh_3/ RefMeshP3.vtk Resources (1).zip (~14 GB archive) ``` ## Format - **Image format**: MetaImage (`.mhd` + `.raw` pairs) - **Mesh format**: VTK (`.vtk`) - **Archive**: `Resources (1).zip` contains additional resources ## Source Original dataset page: ## Usage ```python import SimpleITK as sitk # Read an ultrasound frame img = sitk.ReadImage("patient01_healthy/us/image/usfrm00.mhd") volume = sitk.GetArrayFromImage(img) print(f"Shape: {volume.shape}, dtype: {volume.dtype}") ```