dicom_parser 0.0.1

dicom_parser flutter package

🩻 DICOM Parser in Flutter (Dart)

This project is a fully Dart-based DICOM parser, developed entirely using the Flutter framework. It enables cross-platform parsing and rendering of DICOM medical images across mobile, web, and desktop applications — without relying on native C/C++ libraries.

The parser supports reading, decoding, and interpreting core medical imaging data, making it a powerful tool for developers building health-tech applications.

✅ Features

• 📂 Parse DICOM files
• 🔄 Support for various Transfer Syntaxes
• 🎨 Support for multiple Photometric Interpretations
• 💻 Works on Android, iOS, Web, macOS, Linux, and Windows
• ❌ No native dependencies — 100% Dart

📦 Supported Transfer Syntaxes

Supports a wide range of DICOM Transfer Syntax UIDs for uncompressed and compressed image data:

• 1.2.840.10008.1.2 — Implicit VR Little Endian
• 1.2.840.10008.1.2.1 — Explicit VR Little Endian
• 1.2.840.10008.1.2.2 — Explicit VR Big Endian
• 1.2.840.10008.1.2.5 — RLE Lossless
• 1.2.840.10008.1.2.4.50 — JPEG Baseline (8-bit)
• 1.2.840.10008.1.2.4.51 — JPEG Extended (12-bit)
• 1.2.840.10008.1.2.4.57 — JPEG Lossless (Non-Hierarchical)
• 1.2.840.10008.1.2.4.70 — JPEG Lossless (First-Order Prediction)
• 1.2.840.10008.1.2.1.98 — Deflated Explicit VR Little Endian

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🎨 Supported Photometric Interpretations

• MONOCHROME1 — Inverted grayscale (0 = white)
• MONOCHROME2 — Standard grayscale (0 = black)
• RGB — Color images
• PALETTE COLOR — Indexed color with LUTs
• YBR_FULL — YUV color encoding (JPEG-related)

Usage

import 'package:dicom_parser/dicom_parser.dart';
import 'dart:typed_data';

Uint8List? fileBytes;

// Read DICOM file bytes into fileBytes

DICOMModel dicomModel = await parseDICOM(fileBytes);