mediplot 0.2.0

A matplotlib-based library for anatomical visualizations, heatmaps, and body mapping

MediPlot

A matplotlib-based Python library for anatomical visualizations and medical data mapping.

Create beautiful visualizations using detailed anatomical shapes and templates for medical data, research, and educational purposes.

Features

• 216 Anatomical Shapes: Comprehensive atlas-based shapes for brain, head/neck, liver, and abdomen
• 6 View Angles: Each anatomical structure available in anterior, posterior, lateral (left/right), superior, and inferior views
• Detailed Regions: Anatomically accurate regions with proper naming (gyri, sulci, muscles, vessels, etc.)
• Medical Colormaps: Purpose-built colormaps for clinical data visualization
• Clinical Charts: Lab panels, vital signs, and patient timelines
• Built on matplotlib for seamless integration with existing workflows
• Fully typed for excellent IDE support
• Python 3.11+ support

Installation

pip install mediplot

For development:

pip install mediplot[dev]

Quick Start

Brain Atlas - Frontal Lobes

import mediplot as mp

brain = mp.OrganMap("brain_frontal_anterior")
brain.fill_dict(
    {
        "left_frontal_pole": 0.9,
        "right_frontal_pole": 0.85,
        "left_superior_frontal_gyrus": 0.7,
        "right_superior_frontal_gyrus": 0.75,
        "left_precentral_gyrus": 0.6,
        "right_precentral_gyrus": 0.65,
    },
    cmap="viridis",
    colorbar_label="Activation Level",
)
brain.save("brain_frontal.png")

Head & Neck Skeleton

import mediplot as mp

skeleton = mp.OrganMap("head_neck_skeleton_anterior")
skeleton.fill_dict(
    {
        "skull": 0.8,
        "mandible": 0.7,
        "atlas": 0.6,
        "axis": 0.6,
        "cervical3": 0.5,
        "cervical4": 0.5,
        "hyoid": 0.3,
        "sternum": 0.2,
    },
    cmap="bone",
    colorbar_label="Bone Density",
)
skeleton.save("skeleton.png")

Head & Neck Muscles

import mediplot as mp

muscles = mp.OrganMap("head_neck_muscles_anterior")
muscles.fill_dict(
    {
        "left_temporalis_muscle": 0.8,
        "right_temporalis_muscle": 0.75,
        "left_masseter_muscle": 0.7,
        "right_masseter_muscle": 0.65,
        "left_sternocleidomastoideus_muscle": 0.6,
        "right_sternocleidomastoideus_muscle": 0.55,
    },
    cmap="Reds",
    colorbar_label="Muscle Tension",
)
muscles.save("muscles.png")

Liver Segments

import mediplot as mp

liver = mp.OrganMap("liver_segments_anterior")
liver.fill_dict(
    {
        "liver_segment_i": 0.3,
        "liver_segment_ii": 0.5,
        "liver_segment_iii": 0.6,
        "liver_segment_v": 0.8,
        "liver_segment_vi": 0.75,
        "liver_segment_vii": 0.9,
        "liver_segment_viii": 0.85,
    },
    cmap="YlOrRd",
    colorbar_label="Function Score",
)
liver.save("liver.png")

Abdomen GI Tract

import mediplot as mp

abdomen = mp.OrganMap("abdomen_gi_tract_anterior")
abdomen.fill_dict(
    {
        "liver": 0.8,
        "stomach_and_duodenum": 0.6,
        "pancreas": 0.5,
        "gallbladder": 0.7,
        "colon_and_ileum": 0.4,
    },
    cmap="RdYlGn",
    colorbar_label="Health Index",
)
abdomen.save("abdomen.png")

Side-by-Side Comparisons

import matplotlib.pyplot as plt
import mediplot as mp

fig, axes = plt.subplots(1, 3, figsize=(18, 6))

# Brain Frontal Lobes
brain = mp.OrganMap("brain_frontal_anterior", ax=axes[0])
brain.fill_dict({"left_frontal_pole": 0.9, "right_frontal_pole": 0.85}, show_colorbar=False)
axes[0].set_title("Brain Frontal Lobes")

# Liver Segments
liver = mp.OrganMap("liver_segments_anterior", ax=axes[1])
liver.fill_dict({"liver_segment_ii": 0.9, "liver_segment_vii": 0.5}, show_colorbar=False)
axes[1].set_title("Liver Segments")

# Abdomen
abdomen = mp.OrganMap("abdomen_gi_tract_anterior", ax=axes[2])
abdomen.fill_dict({"liver": 0.8, "stomach_and_duodenum": 0.6}, show_colorbar=False)
axes[2].set_title("Abdomen GI Tract")

plt.tight_layout()
plt.savefig("comparison.png")

Clinical Visualizations

Lab Panel

import mediplot as mp

panel = mp.LabPanel("Complete Blood Count")
panel.add_result(mp.LabResult("WBC", 7.5, "K/uL", 4.5, 11.0))
panel.add_result(mp.LabResult("RBC", 4.8, "M/uL", 4.0, 5.5))
panel.add_result(mp.LabResult("Hemoglobin", 14.2, "g/dL", 12.0, 16.0))
panel.plot()

Patient Timeline

import mediplot as mp
from datetime import datetime

timeline = mp.PatientTimeline("Patient Journey")
timeline.add_event(mp.TimelineEvent(datetime(2024, 1, 15), "Admission", "admission"))
timeline.add_event(mp.TimelineEvent(datetime(2024, 1, 16), "Surgery", "procedure"))
timeline.add_event(mp.TimelineEvent(datetime(2024, 1, 20), "Discharge", "discharge"))
timeline.plot()

Available Shapes

MediPlot includes 216 anatomical recipes organized by category:

Category	Shapes	Description
brain_atlas	78	Frontal, parietal, temporal, occipital lobes, cerebellum, brainstem, thalamus, hypothalamus, basal ganglia, limbic system, insula, ventricles (6 views each)
abdomen	66	Organs, GI tract, urogenital system, arteries, veins, spine, ribs, muscles (6 views each)
head_neck	48	Skeleton, muscles, arteries, veins, vessels, glands, cartilage (6 views each)
liver	24	Liver segments (I-VIII) and vasculature (6 views each)

Exploring Available Shapes

import mediplot as mp

# List all available categories
print(mp.list_categories())
# ['abdomen', 'brain_atlas', 'head_neck', 'liver']

# List shapes in a category
print(mp.list_shapes("brain_atlas"))
# ['brain_frontal_anterior', 'brain_frontal_posterior', 'brain_frontal_lateral_left', ...]

# Get a shape and explore its regions
shape = mp.get_shape("liver_segments_anterior")
print(list(shape.regions.keys()))
# ['liver_segment_i', 'liver_segment_ii', 'liver_segment_iii', ...]

# Use any shape with OrganMap
custom = mp.OrganMap("head_neck_arteries_lateral_left")
custom.fill_dict({...})

Medical Colormaps

import mediplot as mp

# Available medical colormaps
colormaps = [
    "pain",         # Green -> Red (no pain -> severe)
    "inflammation", # White -> Deep red
    "perfusion",    # Blue -> Red
    "oxygenation",  # Blue -> Red (deoxygenated -> oxygenated)
    "temperature",  # Cold blue -> Fever red
    "severity",     # 5-level categorical
]

# Use with any visualization
organ = mp.OrganMap("brain_frontal_anterior")
organ.fill_dict({"left_frontal_pole": 0.7}, cmap="perfusion")

License

This project is licensed under the Polyform Noncommercial License 1.0.0.

Free for:

• Personal use
• Academic research
• Educational purposes
• Non-profit organizations

Commercial use requires a separate license. Contact [e-mail] for commercial licensing inquiries.

Development

Setup

# Clone the repository
git clone https://github.com/MuteJester/MediPlot.git
cd MediPlot

# Install in development mode
pip install -e ".[dev]"

Running Tests

pytest

Code Quality

# Linting
ruff check src/

# Type checking
mypy src/

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

Thomas Konstantinovsky - [e-mail]

Links

• GitHub Repository
• Issue Tracker