seqeyes-python 0.2.2

Interactive Pulseq MRI sequence viewer for Jupyter — lightweight, beautiful, replaces seq.plot() in pypulseq.

SeqEyes — Interactive Pulseq MRI Sequence Viewer for Python

SeqEyes is a lightweight Python package that provides interactive visualization of Pulseq (.seq) MRI sequences in Jupyter notebooks. It works as a drop‑in replacement for pypulseq.Sequence.plot(), rendering an interactive viewer directly in Jupyter notebook cell output — just like Plotly.

Features

• 🎛️ Interactive waveform viewer — zoom, pan, per‑channel amplitude zoom
• 📍 Tooltip with block details (RF amplitude, gradient strength, ADC params)
• 🗺️ 3D k‑space trajectory viewer — rotate, zoom, depth‑sorted rendering
• 🎨 8 colour themes — system, light, dark, dracula, nord, and more
• 📏 Unit conversion — time (s / ms / µs), gradient (Hz/m / mT/m / G/cm)
• 📐 Minimap with TR/TE overlay and viewport indicator
• 💾 Export to standalone HTML — shareable, no Python needed
• 🔌 Drop‑in pypulseq integration — seq.plot() just works

Installation

pip install seqeyes-python

For pypulseq integration:

pip install seqeyes-python[pypulseq]

Quick Start

import seqeyes

# Enable SeqEyes (once per session) — seq.plot() is now interactive
seqeyes.set(theme="dark", time_disp="ms")

# Build your sequence with pypulseq as usual
seq.plot()                          # interactive viewer in Jupyter
seq.plot(show_blocks=True)          # per‑call overrides
seq.plot(time_range=(0, 0.05))      # zoom to first 50 ms

# Restore matplotlib at any time
seqeyes.reset()

In a plain .py script (no Jupyter), seq.plot() opens the viewer in a desktop pop‑up window (requires pywebview) or falls back to your default browser.

Using without pypulseq

from seqeyes import SeqEyesViewer

with open('my_sequence.seq') as f:
    viewer = SeqEyesViewer(f.read(), theme="dark")

viewer  # renders inline in Jupyter

API Reference

Function	Description
seqeyes.set(**kwargs)	Enable SeqEyes and set global defaults (theme, show_blocks, time_disp, grad_disp, time_range)
seqeyes.reset()	Restore matplotlib seq.plot() and clear all defaults
SeqEyesViewer(seq_text, ...)	Low‑level viewer for raw .seq content (no pypulseq needed)

Viewer Controls

Action	How
Zoom	Scroll wheel
Pan	Click + drag
Amplitude zoom (per channel)	Ctrl + scroll wheel
Tooltip	Hover over waveform
Toggle channels	Click legend labels
K‑Space viewer	Click "K‑Space" button
Rotate k‑space	Click + drag in panel
Minimap navigation	Click on minimap strip
Open another file	📂 Open button

Requirements

• Python ≥ 3.9
• numpy ≥ 1.21
• pypulseq ≥ 1.4 (optional, for seq.plot() integration)
• pywebview ≥ 5 (optional, for native desktop pop‑up windows)

License

MIT