Convert JSON Format to DICOM via Java

Java API to parse JSON format to DICOM within any Java J2SE, J2EE, J2ME applications

Using Aspose.Total for Java , you can convert JSON format to DICOM within any Java application in two simple steps. Firstly, by using Aspose.Cells for Java , you can parse JSON to JPEG. After that, by using Aspose.Imaging for Java , you can convert JPEG to DICOM.

Convert JSON Format to DICOM via Java

Create a new Workbook object and open JSON file
Save JSON as JPEG using save method
Load JPEG document by using Image class
Save the document to DICOM format using save method

Conversion Requirements

You can easily use Aspose.Total for Java directly from a Maven based project and include libraries in your pom.xml.

Alternatively, you can get a ZIP file from downloads .

Set Layout and Convert JSON Format to DICOM via Java

Furthermore, the API allows you to parse JSON to DICOM with specified layout options. In order to specify the layout options, you can use JsonLayoutOptions class. It allows you to process an array as a table, ignore nulls, ignore array title, ignore object title, convert string to number or date, set date and number format, and set title style. All of these options allow you to present your data as per your needs. The following code snippet shows you how to set the layout options.

Convert JSON Format to DICOM with Watermark via Java

Using the API, you can also convert JSON to DICOM with watermark in your DICOM document. In order to add a watermark to you can first convert JSON to JPEG and add a watermark in it. In order to add watermark, load an image file using the Image class, create an object of the Graphics class and initialize it with Image object, create a new Matrix object and set translation and transformation to the desired angle and add watermark using Graphics.drawString method. After adding the watermark in your image, you can save the JPEG as DICOM format.

Converting **JSON to DICOM (Digital Imaging and Communications in Medicine)** is crucial for transforming **structured health data** into standardized medical imaging formats. DICOM is the global standard for storing, transmitting, and visualizing medical images, enabling healthcare providers, researchers, and AI systems to work with consistent, interoperable data. By converting JSON into DICOM, structured patient records and clinical data can be seamlessly integrated into imaging workflows, supporting accurate diagnostics and better healthcare outcomes.

Key Use Cases

Patient record visualization – Convert structured health data into visual imaging formats.
AI-based medical imaging – Enable machine learning systems to process JSON-driven datasets.
Healthcare interoperability – Standardize structured data into globally accepted DICOM formats.
Radiology workflows – Integrate JSON-based reports into imaging and diagnostic systems.
Clinical research data integration – Transform structured datasets into imaging-compatible formats for studies.

Automation Scenarios

JSON-to-DICOM pipelines – Automate transformation of health data into imaging-ready formats.
Automated medical report conversion – Generate DICOM files directly from JSON-based clinical reports.
Cloud-based healthcare imaging – Enable scalable, interoperable imaging data exchange in the cloud.
AI-driven diagnostic systems – Power advanced diagnostic tools with structured-to-imaging conversion.