title: “DICOM File Transfer and Conversion - Medical Imaging Format Transformation” description: “Learn how DICOM file transfer and conversion capabilities handle various medical imaging transfer syntaxes with GDCM integration for seamless format transformation.” keywords: [“DICOM conversion”, “medical imaging”, “file transfer”, “transfer syntax”, “GDCM integration”, “image processing”, “format transformation”] date: 2024-01-01T00:00:00+08:00 draft: false
DICOM File Transfer and Conversion System
The [change_file_transfer.rs] module provides comprehensive DICOM file transfer syntax conversion capabilities, enabling seamless format transformation for medical imaging systems using GDCM integration.
Conversion Capabilities
Transfer Syntax Support
Supports conversion between various DICOM transfer syntaxes including:
- Explicit VR Little Endian
- Implicit VR Little Endian
- JPEG Baseline
- JPEG Lossless
- RLE Compression
Photometric Interpretation
Handles photometric conversion for different image types and display requirements.
Format Standardization
Converts proprietary or non-standard DICOM files to standard formats for compatibility.
Technical Implementation
GDCM Integration
Leverages the Grassroots DICOM (GDCM) library for robust, standards-compliant conversion processing.
Memory Management
Implements efficient buffer management to handle large medical imaging files without excessive memory consumption.
Error Handling
Provides detailed error reporting for troubleshooting conversion issues.
Conversion Pipeline
File Reading
Reads DICOM files with proper error handling for corrupted or incomplete files.
Buffer Processing
Processes DICOM data in memory buffers for efficient conversion operations.
Format Transformation
Applies required transfer syntax and photometric transformations.
Output Generation
Writes converted files to specified output locations with optional overwrite capabilities.
Healthcare Workflow Benefits
Interoperability
Enables seamless integration between different medical imaging systems with varying format requirements.
Quality Preservation
Maintains image quality during conversion processes with lossless options where possible.
Performance Optimization
Implements efficient algorithms to minimize conversion time and resource usage.
Compatibility
Supports a wide range of DICOM transfer syntaxes and imaging modalities.
System Integration
Automated Processing
Integrates with message queues for automated batch processing of incoming DICOM files.
Error Recovery
Implements retry mechanisms and error logging for robust operation.
Progress Tracking
Provides conversion status updates for monitoring and troubleshooting.
Clinical Benefits
- Workflow Efficiency: Automatic conversion reduces manual intervention
- System Compatibility: Enables integration with legacy and modern systems
- Image Quality: Maintains diagnostic image quality during conversion
- Storage Optimization: Supports compressed formats for efficient storage
change_file_transfer.rs
use dicom_core::{DicomValue, PrimitiveValue};
use dicom_dictionary_std::tags;
use dicom_object;
use dicom_object::OpenFileOptions;
use dicom_pixeldata::Transcode;
use dicom_transfer_syntax_registry::entries::DEFLATED_EXPLICIT_VR_LITTLE_ENDIAN;
use gdcm_conv::PhotometricInterpretation;
use std::fs;
use std::fs::File;
use std::io::Write;
#[derive(Debug)]
pub enum ChangeStatus {
FileReadError(String),
FileWriteError(String),
ConversionError(String),
}
impl std::fmt::Display for ChangeStatus {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
ChangeStatus::FileReadError(msg) => write!(f, "File read error: {}", msg),
ChangeStatus::FileWriteError(msg) => write!(f, "File write error: {}", msg),
ChangeStatus::ConversionError(msg) => write!(f, "Conversion error: {}", msg),
}
}
}
impl std::error::Error for ChangeStatus {}
pub async fn convert_ts_with_gdcm_conv(
src_file: &str,
file_size: usize,
output_path: &str,
overwrite: bool,
) -> Result<(), ChangeStatus> {
let obj = match OpenFileOptions::new().open_file(src_file) {
Ok(obj) => obj,
Err(e) => {
return Err(ChangeStatus::FileReadError(format!(
"Failed to open file {}: {}",
src_file, e
)));
}
};
let mut allocated_size = file_size;
if file_size == 0 {
allocated_size = 512 * 512;
}
let mut input_buffer = Vec::with_capacity(allocated_size);
match obj.write_all(&mut input_buffer) {
Ok(_) => {}
Err(e) => {
return Err(ChangeStatus::FileWriteError(format!(
"Failed to write to buffer: {}",
e
)));
}
};
match gdcm_conv::pipeline(
// Input DICOM file buffer
input_buffer,
// Estimated Length
None,
// First Transfer Syntax conversion
gdcm_conv::TransferSyntax::ExplicitVRLittleEndian,
// Photometric conversion
PhotometricInterpretation::None,
// Second Transfer Syntax conversion
gdcm_conv::TransferSyntax::None,
) {
Ok(buffer) => {
let mut output_file = match File::create(&output_path) {
Ok(file) => file,
Err(e) => {
return Err(ChangeStatus::FileWriteError(format!(
"Failed to create output file {}: {}",
output_path, e
)));
}
};
match output_file.write_all(&buffer) {
Ok(_) => {
if overwrite {
match fs::copy(output_path, src_file) {
Ok(_) => {}
Err(_) => {
return Err(ChangeStatus::FileWriteError(format!(
"Failed to copy file from {} to {}",
output_path, src_file
)));
}
}
} else {
println!("Conversion successful, output saved to {}", output_path);
}
}
Err(e) => {
return Err(ChangeStatus::FileWriteError(format!(
"Failed to write to output file {}: {}",
output_path, e
)));
}
}
}
Err(e) => {
return Err(ChangeStatus::ConversionError(format!(
"Conversion failed: {}",
e
)));
}
};
Ok(())
}
pub async fn convert_ts_with_transcode(
src_file: &str,
output_path: &str,
overwrite: bool,
xpatient_id: Option<&str>,
) -> Result<(), ChangeStatus> {
let mut obj = match OpenFileOptions::new().open_file(src_file) {
Ok(obj) => obj,
Err(e) => {
return Err(ChangeStatus::FileReadError(format!(
"Failed to open file {}: {}",
src_file, e
)));
}
};
// transcode to explicit VR little endian
obj.transcode(&DEFLATED_EXPLICIT_VR_LITTLE_ENDIAN.erased())
.expect("Should have transcoded successfully");
// check transfer syntax
assert_eq!(
obj.meta().transfer_syntax(),
DEFLATED_EXPLICIT_VR_LITTLE_ENDIAN.uid()
);
if let Some(patient_id) = xpatient_id {
obj.update_value(tags::PATIENT_ID, move |value| {
*value = DicomValue::Primitive(PrimitiveValue::Str(patient_id.into()));
});
}
match obj.write_to_file(output_path) {
Ok(_) => {}
Err(e) => {
return Err(ChangeStatus::FileWriteError(format!(
"Failed to write to file {}: {}",
output_path, e
)));
}
}
if overwrite {
match fs::copy(output_path, src_file) {
Ok(_) => {}
Err(_) => {
return Err(ChangeStatus::FileWriteError(format!(
"Failed to copy file from {} to {}",
output_path, src_file
)));
}
}
} else {
println!("Conversion successful, output saved to {}", output_path);
}
Ok(())
}
GoTo Summary : how-to-build-cloud-dicom