NEW!

DICOM Image Viewer

View DICOM medical images in your browser with windowing controls, multi-frame support, and zoom. Free, private, no upload.

HIPAA-Compliant by Design

Your medical data never leaves your device. No PHI is transmitted to any server.

HIPAA-Friendly No PHI Transmission Local Processing

Upload DICOM Files

Drag files here or click to select

Supports .dcm, .dicom, .ima (max 100MB per file, 10 files max)

All rendering happens locally in your browser. Your medical images never leave your device. HIPAA-compatible.

Keywords

dicom image viewerdicom viewer onlinemedical image viewerdicom image rendererdicom windowingview dcm filesdicom pixel datamedical imaging browser

Need something else?

How to use

1

Upload one or more DICOM files (.dcm, .dicom, .ima) using drag-and-drop or the file selector.

2

The image renders automatically. Use the Window Center (WC) and Window Width (WW) sliders to adjust contrast and brightness for grayscale images.

3

For multi-frame images (cine loops), use the frame slider or arrow keys to navigate between frames.

4

Zoom in and out using the toolbar buttons, mouse wheel, or keyboard shortcuts (+, -, 0). Press 'i' to invert colors.

5

Download the current view as a PNG file using the download button.

Features

Windowing Controls (WC/WW)

Adjust Window Center and Window Width to optimize contrast for different tissue types — lung, bone, soft tissue, or brain windows. Changes apply in real-time as you move the sliders.

Multi-Frame Navigation

Browse through multi-frame DICOM images such as cine loops, CT slices, and MR sequences. Use the frame slider or arrow keys to step through frames one by one.

Zoom, Invert, and Download

Zoom in up to 10x with smooth scaling for pixel-level inspection. Invert image polarity with one click. Download the rendered view as a PNG for reports and presentations.

100% Browser-Based & Private

All image rendering happens locally in your browser using JavaScript and HTML5 Canvas. No DICOM data is uploaded to any server. HIPAA-compatible by design.

Supports Multiple Formats

Handles uncompressed, JPEG, and JPEG2000 transfer syntaxes. Renders grayscale (MONOCHROME1/2) and RGB images. Supports 8-bit, 12-bit, and 16-bit pixel data with signed and unsigned representations.

Why Choose This Tool?

Complete Privacy — Your Images Never Leave Your Device

Unlike cloud-based DICOM viewers, this tool renders images entirely within your browser using JavaScript and HTML5 Canvas. No pixel data, no metadata, and no file contents are ever transmitted over the network. This eliminates the risk of accidental exposure and removes the need for Business Associate Agreements with third-party viewer services.

Clinical-Quality Windowing

Adjust Window Center and Window Width to replicate standard clinical windows — lung (-600/1500), bone (300/1500), soft tissue (40/400), brain (40/80). The sliders automatically adapt their ranges based on the image's bit depth, so you get precise control whether viewing 8-bit ultrasound or 16-bit CT data.

No Installation Required

Open the tool in any modern browser and start viewing DICOM images immediately. There are no desktop installers, plugins, or Java applets to configure. Clinical engineers, researchers, and students can use it from any device — hospital workstations, personal laptops, or tablets.

Multi-File Workflow

Load up to 10 DICOM files at once and switch between them using tabs. Compare images from different series, time points, or modalities side by side in the same session without reloading. Each file retains its own windowing and frame position.

Understanding DICOM Image Rendering: From Pixel Data to Screen

What Is DICOM Pixel Data?

The DICOM standard stores medical images as raw pixel arrays embedded within the file's binary structure. Tag (7FE0,0010) — Pixel Data — contains the actual image values. Unlike consumer image formats (JPEG, PNG), DICOM pixel data carries clinical metadata: bit depth, signed/unsigned representation, photometric interpretation, and windowing parameters that define how raw values should be mapped to visible brightness levels.

Photometric Interpretation

The Photometric Interpretation tag (0028,0004) tells the viewer how to interpret pixel values. MONOCHROME2 is the most common: higher values appear brighter (white). MONOCHROME1 inverts this convention — higher values appear darker — and is used in some older CR and digitized film formats. RGB images store three samples per pixel (red, green, blue) and are common in dermatology photos, pathology slides, and visible-light endoscopy captures.

Windowing: Window Center and Window Width

Medical images typically use 12-bit or 16-bit depth, providing 4,096 or 65,536 possible gray levels — far more than the 256 levels a standard display can show. Windowing (also called window/level) maps a selected range of pixel values to the display's 0–255 range. The Window Center (WC) defines the midpoint of the visible range, and the Window Width (WW) defines how wide the range is. For example, a standard lung CT window uses WC = -600, WW = 1500, which makes air appear black and soft tissue mid-gray. A bone window (WC = 300, WW = 1500) shifts the center upward to highlight dense structures.

Transfer Syntaxes: Uncompressed vs. Encapsulated

DICOM supports multiple transfer syntaxes that define how pixel data is encoded. Uncompressed syntaxes (Implicit VR Little Endian, Explicit VR Little Endian) store raw pixel arrays that can be read directly into memory. Encapsulated syntaxes wrap the pixel data in JPEG, JPEG 2000, or JPEG-LS compression frames. When rendering encapsulated images, the viewer must extract individual frame fragments and decode them using the browser's native image decoder before displaying the result on canvas.

Multi-Frame Images and Cine Loops

Some DICOM objects contain multiple frames within a single file — cardiac cine MRI, nuclear medicine studies, and enhanced CT/MR objects. The Number of Frames tag (0028,0008) indicates how many frames exist. For uncompressed data, each frame's byte offset is calculated from the image dimensions and bit depth. For encapsulated data, each JPEG fragment typically represents one frame. Frame navigation lets clinicians scroll through slices or play back temporal sequences.

Bit Depth and Clinical Windows

The bit depth of a DICOM image determines its dynamic range. 8-bit images (common in ultrasound secondary captures) offer 256 gray levels, while 12-bit CT images provide 4,096 levels and 16-bit PET scans offer up to 65,536. Higher bit depth means more windowing flexibility — a 12-bit CT can be windowed to show lung parenchyma (WC = -600, WW = 1500), soft tissue (WC = 40, WW = 400), or bone (WC = 300, WW = 1500), each revealing different clinical information from the same raw data.

When the Pixel Representation tag indicates signed data, the renderer must use two's complement arithmetic. CT images in Hounsfield Units are typically signed, with air at approximately -1000 HU and water at 0 HU. Incorrectly treating signed values as unsigned is a common source of rendering artifacts in naive implementations.

Browser-Based Rendering vs. Desktop PACS

Traditional PACS workstations use dedicated GPU hardware and compiled C++ code for real-time rendering. Browser-based viewers use JavaScript and HTML5 Canvas, which introduces some overhead but offers significant advantages: zero installation, cross-platform compatibility, and inherent data isolation (pixel data never leaves the browser). For review, education, and integration testing, browser-based rendering is more than sufficient. Modern browsers handle multi-megapixel 16-bit images with minimal latency thanks to TypedArrays and hardware-accelerated canvas compositing.

The key privacy advantage of client-side rendering is that DICOM files never leave the user's device. There is no upload step, no server-side processing, and no temporary cloud storage. This makes browser-based viewers suitable for environments where data governance policies restrict the transfer of medical images to external services, and eliminates the need for Business Associate Agreements with viewer providers.

Frequently Asked Questions

Does this tool upload my DICOM images to a server?

No. All rendering happens entirely in your browser using JavaScript and HTML5 Canvas. Your DICOM file is read into local memory, the pixel data is decoded and rendered on-screen, and nothing is ever transmitted over the network.

What DICOM image types are supported?

The viewer supports grayscale (MONOCHROME1 and MONOCHROME2) and RGB images. It handles 8-bit, 12-bit, and 16-bit pixel data with both signed and unsigned representations. Uncompressed, JPEG, and JPEG2000 transfer syntaxes are supported.

What are Window Center and Window Width?

Window Center (WC) and Window Width (WW) control which range of pixel values maps to visible brightness. WC sets the midpoint, WW sets the range width. Adjusting these lets you optimize contrast for different tissue types — for example, lung tissue, bone, or soft tissue each require different window settings.

Can I view multi-frame DICOM images?

Yes. The viewer automatically detects multi-frame images and shows a frame slider for navigation. You can also use the left and right arrow keys to step through frames one at a time.

What keyboard shortcuts are available?

Press + or = to zoom in, - to zoom out, 0 to reset zoom, and 'i' to invert colors. Use left/right arrow keys to navigate frames in multi-frame images. Mouse wheel over the image area also controls zoom.

Can I download the rendered image?

Yes. Click the download button in the toolbar to save the current canvas view as a PNG file. The downloaded image reflects the current windowing settings, zoom level, and inversion state.

What is MONOCHROME1 vs MONOCHROME2?

MONOCHROME2 is the standard interpretation where higher pixel values appear brighter (white). MONOCHROME1 inverts this — higher values appear darker. The viewer handles both automatically. You can also use the invert button to manually flip the interpretation.

Is this tool suitable for clinical diagnosis?

No. This tool is designed for review, education, and integration testing. It is not a certified medical device and should not be used for clinical diagnosis or treatment decisions. Always use approved PACS workstations for clinical reading.

What is the maximum file size?

There is no hard limit, but files are loaded into browser memory. Most clinical images (10–100 MB) render quickly. Very large files (above 500 MB) may be slow on devices with limited RAM.

Can I compare multiple DICOM images?

You can load up to 10 files and switch between them using tabs. Each file retains its own windowing and frame settings. For detailed tag-level comparison, use our DICOM Tag Viewer tool.

Learn more