PACS berasaskan awan (Gambar Arkib dan Komunikasi Sistem) dan perkhidmatan teleradiologi sedang mengubah imej perubatan dengan membolehkan akses jarak jauh kepada gambar diagnostik. Walau bagaimanapun, memindahkan data pesakit ke persekitaran awan memerlukan perhatian yang berhati-hati kepada privasi dan keselamatan. Panduan ini menunjukkan bagaimana untuk melaksanakan anonimiti DICOM untuk awan dan aliran kerja telekomunikasi menggunakan Aspose.Medical untuk .NET.
Mengapa Anonim untuk Cloud dan Teleradiologi?
Apabila imej DICOM meninggalkan rangkaian hospital untuk penyimpanan awan atau bacaan jauh, pertimbangan privasi tambahan terpakai:
- Data kediaman: Data pesakit boleh melintasi sempadan geografi di mana peraturan yang berbeza terpakai
- ** Akses pihak ketiga**: Pembekal awan dan perkhidmatan teleradiologi adalah rakan kongsi perniagaan di bawah HIPAA
- Penghantaran rangkaian: Data yang melintasi internet memerlukan perlindungan tambahan
- Multi-tenant persekitaran: Sistem awan boleh menyimpan data daripada pelbagai organisasi penjagaan kesihatan
- Remote Radiologists: Pembaca luaran mungkin tidak memerlukan akses kepada pengenalpastian pesakit
Anonimisasi mewujudkan lapisan keselamatan yang melindungi privasi pesakit walaupun langkah-langkah keselamatan lain gagal.
Perkhidmatan Cloud Upload Anonymization
Mencipta perkhidmatan yang menganonimkan fail DICOM sebelum muat naik awan:
using Aspose.Medical.Dicom;
using Aspose.Medical.Dicom.Anonymization;
public class CloudUploadAnonymizer
{
private readonly ConfidentialityProfile _profile;
private readonly Dictionary<string, string> _studyIdMapping;
private readonly string _organizationPrefix;
public CloudUploadAnonymizer(string organizationPrefix)
{
_organizationPrefix = organizationPrefix;
_studyIdMapping = new Dictionary<string, string>();
// Create profile optimized for cloud storage
var options = ConfidentialityProfileOptions.BasicProfile |
ConfidentialityProfileOptions.RetainDeviceIdentity |
ConfidentialityProfileOptions.CleanDescriptions;
_profile = ConfidentialityProfile.CreateDefault(options);
}
public CloudUploadResult AnonymizeForCloud(string inputPath, string outputPath)
{
var result = new CloudUploadResult
{
OriginalPath = inputPath,
ProcessedAt = DateTime.UtcNow
};
try
{
DicomFile dicomFile = DicomFile.Open(inputPath);
var dataset = dicomFile.Dataset;
// Capture original identifiers for mapping
string originalStudyUid = dataset.GetString(DicomTag.StudyInstanceUID);
string originalPatientId = dataset.GetString(DicomTag.PatientID);
string originalAccession = dataset.GetString(DicomTag.AccessionNumber);
// Generate cloud-safe identifiers
string cloudStudyId = GetOrCreateCloudStudyId(originalStudyUid);
result.OriginalStudyUID = originalStudyUid;
result.CloudStudyId = cloudStudyId;
result.OriginalPatientId = originalPatientId;
// Apply anonymization
var anonymizer = new Anonymizer(_profile);
anonymizer.Anonymize(dataset);
// Apply cloud-specific identifiers
dataset.AddOrUpdate(DicomTag.PatientID, $"{_organizationPrefix}-{cloudStudyId}");
dataset.AddOrUpdate(DicomTag.PatientName, $"CloudStudy^{cloudStudyId}");
dataset.AddOrUpdate(DicomTag.AccessionNumber, cloudStudyId);
// Add cloud tracking metadata
dataset.AddOrUpdate(DicomTag.InstitutionName, _organizationPrefix);
dicomFile.Save(outputPath);
result.CloudPath = outputPath;
result.Success = true;
}
catch (Exception ex)
{
result.Success = false;
result.ErrorMessage = ex.Message;
}
return result;
}
private string GetOrCreateCloudStudyId(string originalStudyUid)
{
if (!_studyIdMapping.ContainsKey(originalStudyUid))
{
string timestamp = DateTime.UtcNow.ToString("yyyyMMddHHmmss");
string random = Guid.NewGuid().ToString("N").Substring(0, 8);
_studyIdMapping[originalStudyUid] = $"{timestamp}-{random}";
}
return _studyIdMapping[originalStudyUid];
}
public Dictionary<string, string> GetStudyMapping()
{
return new Dictionary<string, string>(_studyIdMapping);
}
}
public class CloudUploadResult
{
public string OriginalPath { get; set; }
public string CloudPath { get; set; }
public string OriginalStudyUID { get; set; }
public string CloudStudyId { get; set; }
public string OriginalPatientId { get; set; }
public DateTime ProcessedAt { get; set; }
public bool Success { get; set; }
public string ErrorMessage { get; set; }
}
Integrasi aliran kerja Teleradiologi
Membina saluran anonimiti teleradiologi yang lengkap:
public class TeleradiologyAnonymizationPipeline
{
private readonly CloudUploadAnonymizer _anonymizer;
private readonly string _stagingDirectory;
private readonly string _mappingDirectory;
public TeleradiologyAnonymizationPipeline(
string organizationId,
string stagingDirectory,
string mappingDirectory)
{
_anonymizer = new CloudUploadAnonymizer(organizationId);
_stagingDirectory = stagingDirectory;
_mappingDirectory = mappingDirectory;
Directory.CreateDirectory(_stagingDirectory);
Directory.CreateDirectory(_mappingDirectory);
}
public async Task<TeleradiologyBatch> ProcessStudyForRemoteReading(
string studyDirectory,
string priority = "ROUTINE")
{
var batch = new TeleradiologyBatch
{
BatchId = Guid.NewGuid().ToString(),
Priority = priority,
SubmittedAt = DateTime.UtcNow,
Results = new List<CloudUploadResult>()
};
var dicomFiles = Directory.GetFiles(studyDirectory, "*.dcm", SearchOption.AllDirectories);
// Create batch output directory
string batchOutputDir = Path.Combine(_stagingDirectory, batch.BatchId);
Directory.CreateDirectory(batchOutputDir);
foreach (var inputFile in dicomFiles)
{
string relativePath = Path.GetRelativePath(studyDirectory, inputFile);
string outputPath = Path.Combine(batchOutputDir, relativePath);
Directory.CreateDirectory(Path.GetDirectoryName(outputPath));
var result = _anonymizer.AnonymizeForCloud(inputFile, outputPath);
batch.Results.Add(result);
}
// Save mapping file for this batch
await SaveBatchMapping(batch);
// Generate manifest for teleradiology service
batch.ManifestPath = await GenerateTeleradiologyManifest(batch, batchOutputDir);
batch.Success = batch.Results.All(r => r.Success);
batch.TotalFiles = batch.Results.Count;
batch.SuccessfulFiles = batch.Results.Count(r => r.Success);
return batch;
}
private async Task SaveBatchMapping(TeleradiologyBatch batch)
{
var mapping = new
{
BatchId = batch.BatchId,
SubmittedAt = batch.SubmittedAt,
StudyMappings = _anonymizer.GetStudyMapping(),
FileMappings = batch.Results.Select(r => new
{
r.OriginalPath,
r.CloudPath,
r.OriginalStudyUID,
r.CloudStudyId,
r.OriginalPatientId
})
};
string mappingPath = Path.Combine(_mappingDirectory, $"{batch.BatchId}_mapping.json");
string json = JsonSerializer.Serialize(mapping, new JsonSerializerOptions { WriteIndented = true });
await File.WriteAllTextAsync(mappingPath, json);
}
private async Task<string> GenerateTeleradiologyManifest(
TeleradiologyBatch batch,
string outputDirectory)
{
var manifest = new
{
Version = "1.0",
BatchId = batch.BatchId,
Priority = batch.Priority,
SubmittedAt = batch.SubmittedAt.ToString("O"),
TotalStudies = batch.Results
.Where(r => r.Success)
.Select(r => r.CloudStudyId)
.Distinct()
.Count(),
TotalImages = batch.Results.Count(r => r.Success),
Studies = batch.Results
.Where(r => r.Success)
.GroupBy(r => r.CloudStudyId)
.Select(g => new
{
CloudStudyId = g.Key,
ImageCount = g.Count(),
Files = g.Select(r => Path.GetFileName(r.CloudPath)).ToList()
})
.ToList()
};
string manifestPath = Path.Combine(outputDirectory, "manifest.json");
string json = JsonSerializer.Serialize(manifest, new JsonSerializerOptions { WriteIndented = true });
await File.WriteAllTextAsync(manifestPath, json);
return manifestPath;
}
}
public class TeleradiologyBatch
{
public string BatchId { get; set; }
public string Priority { get; set; }
public DateTime SubmittedAt { get; set; }
public List<CloudUploadResult> Results { get; set; }
public string ManifestPath { get; set; }
public bool Success { get; set; }
public int TotalFiles { get; set; }
public int SuccessfulFiles { get; set; }
}
Integrasi Penyimpanan Azure Blob
Muat naik fail DICOM anonim ke Azure Blob Storage:
using Azure.Storage.Blobs;
using Azure.Storage.Blobs.Models;
public class AzureDicomUploader
{
private readonly BlobContainerClient _containerClient;
private readonly TeleradiologyAnonymizationPipeline _pipeline;
public AzureDicomUploader(
string connectionString,
string containerName,
string organizationId)
{
_containerClient = new BlobContainerClient(connectionString, containerName);
_containerClient.CreateIfNotExists();
_pipeline = new TeleradiologyAnonymizationPipeline(
organizationId,
Path.Combine(Path.GetTempPath(), "dicom_staging"),
Path.Combine(Path.GetTempPath(), "dicom_mappings"));
}
public async Task<AzureUploadResult> UploadStudyAsync(
string studyDirectory,
string priority = "ROUTINE")
{
var result = new AzureUploadResult
{
StartedAt = DateTime.UtcNow
};
try
{
// Anonymize the study
var batch = await _pipeline.ProcessStudyForRemoteReading(studyDirectory, priority);
result.BatchId = batch.BatchId;
if (!batch.Success)
{
result.Success = false;
result.ErrorMessage = "Anonymization failed for some files";
return result;
}
// Upload anonymized files to Azure
string batchDirectory = Path.GetDirectoryName(batch.ManifestPath);
var filesToUpload = Directory.GetFiles(batchDirectory, "*.*", SearchOption.AllDirectories);
foreach (var filePath in filesToUpload)
{
string blobName = $"{batch.BatchId}/{Path.GetRelativePath(batchDirectory, filePath)}";
BlobClient blobClient = _containerClient.GetBlobClient(blobName);
using (var stream = File.OpenRead(filePath))
{
await blobClient.UploadAsync(stream, new BlobUploadOptions
{
HttpHeaders = new BlobHttpHeaders
{
ContentType = GetContentType(filePath)
},
Metadata = new Dictionary<string, string>
{
{ "batch_id", batch.BatchId },
{ "priority", priority },
{ "uploaded_at", DateTime.UtcNow.ToString("O") }
}
});
}
result.UploadedFiles.Add(blobName);
}
// Clean up staging directory
Directory.Delete(batchDirectory, true);
result.Success = true;
result.CompletedAt = DateTime.UtcNow;
result.BlobContainerUri = _containerClient.Uri.ToString();
}
catch (Exception ex)
{
result.Success = false;
result.ErrorMessage = ex.Message;
}
return result;
}
private string GetContentType(string filePath)
{
return Path.GetExtension(filePath).ToLower() switch
{
".dcm" => "application/dicom",
".json" => "application/json",
_ => "application/octet-stream"
};
}
}
public class AzureUploadResult
{
public string BatchId { get; set; }
public DateTime StartedAt { get; set; }
public DateTime CompletedAt { get; set; }
public bool Success { get; set; }
public string ErrorMessage { get; set; }
public string BlobContainerUri { get; set; }
public List<string> UploadedFiles { get; set; } = new List<string>();
}
Pengenalan AWS S3
Muat naik anonim DICOM ke Amazon S3:
using Amazon.S3;
using Amazon.S3.Transfer;
public class AwsDicomUploader
{
private readonly IAmazonS3 _s3Client;
private readonly string _bucketName;
private readonly TeleradiologyAnonymizationPipeline _pipeline;
public AwsDicomUploader(
IAmazonS3 s3Client,
string bucketName,
string organizationId)
{
_s3Client = s3Client;
_bucketName = bucketName;
_pipeline = new TeleradiologyAnonymizationPipeline(
organizationId,
Path.Combine(Path.GetTempPath(), "dicom_staging"),
Path.Combine(Path.GetTempPath(), "dicom_mappings"));
}
public async Task<S3UploadResult> UploadStudyAsync(
string studyDirectory,
string priority = "ROUTINE")
{
var result = new S3UploadResult
{
StartedAt = DateTime.UtcNow
};
try
{
// Anonymize
var batch = await _pipeline.ProcessStudyForRemoteReading(studyDirectory, priority);
result.BatchId = batch.BatchId;
if (!batch.Success)
{
result.Success = false;
result.ErrorMessage = "Anonymization failed";
return result;
}
// Upload to S3
var transferUtility = new TransferUtility(_s3Client);
string batchDirectory = Path.GetDirectoryName(batch.ManifestPath);
await transferUtility.UploadDirectoryAsync(new TransferUtilityUploadDirectoryRequest
{
BucketName = _bucketName,
Directory = batchDirectory,
KeyPrefix = batch.BatchId,
SearchOption = SearchOption.AllDirectories
});
// Clean up
Directory.Delete(batchDirectory, true);
result.Success = true;
result.S3Uri = $"s3://{_bucketName}/{batch.BatchId}/";
result.CompletedAt = DateTime.UtcNow;
}
catch (Exception ex)
{
result.Success = false;
result.ErrorMessage = ex.Message;
}
return result;
}
}
public class S3UploadResult
{
public string BatchId { get; set; }
public DateTime StartedAt { get; set; }
public DateTime CompletedAt { get; set; }
public bool Success { get; set; }
public string ErrorMessage { get; set; }
public string S3Uri { get; set; }
}
Gateway anonimiti masa nyata
Mencipta gateway API yang menganonimkan DICOM dalam masa nyata untuk penonton awan:
[ApiController]
[Route("api/[controller]")]
public class CloudDicomGatewayController : ControllerBase
{
private readonly CloudUploadAnonymizer _anonymizer;
private readonly ILogger<CloudDicomGatewayController> _logger;
public CloudDicomGatewayController(ILogger<CloudDicomGatewayController> logger)
{
_anonymizer = new CloudUploadAnonymizer("GATEWAY");
_logger = logger;
}
[HttpPost("anonymize-stream")]
public async Task<IActionResult> AnonymizeStream(IFormFile file)
{
if (file == null || file.Length == 0)
return BadRequest("No DICOM file provided");
var tempInput = Path.GetTempFileName();
var tempOutput = Path.GetTempFileName();
try
{
// Save uploaded file
using (var stream = new FileStream(tempInput, FileMode.Create))
{
await file.CopyToAsync(stream);
}
// Anonymize
var result = _anonymizer.AnonymizeForCloud(tempInput, tempOutput);
if (!result.Success)
{
return StatusCode(500, $"Anonymization failed: {result.ErrorMessage}");
}
// Return anonymized file
var fileBytes = await System.IO.File.ReadAllBytesAsync(tempOutput);
// Add tracking headers
Response.Headers.Add("X-Cloud-Study-Id", result.CloudStudyId);
Response.Headers.Add("X-Processed-At", result.ProcessedAt.ToString("O"));
return File(fileBytes, "application/dicom", $"{result.CloudStudyId}.dcm");
}
finally
{
if (System.IO.File.Exists(tempInput))
System.IO.File.Delete(tempInput);
if (System.IO.File.Exists(tempOutput))
System.IO.File.Delete(tempOutput);
}
}
[HttpPost("batch-prepare")]
public async Task<IActionResult> PrepareBatchForCloud([FromBody] BatchPrepareRequest request)
{
var pipeline = new TeleradiologyAnonymizationPipeline(
request.OrganizationId,
Path.Combine(Path.GetTempPath(), "staging"),
Path.Combine(Path.GetTempPath(), "mappings"));
var batch = await pipeline.ProcessStudyForRemoteReading(
request.StudyDirectory,
request.Priority);
return Ok(new
{
batch.BatchId,
batch.Success,
batch.TotalFiles,
batch.SuccessfulFiles,
batch.ManifestPath,
StagingDirectory = Path.GetDirectoryName(batch.ManifestPath)
});
}
}
public class BatchPrepareRequest
{
public string OrganizationId { get; set; }
public string StudyDirectory { get; set; }
public string Priority { get; set; } = "ROUTINE";
}
Perkhidmatan pengenalan semula
Pelaksanaan memastikan pengenalan semula untuk laporan bacaan:
public class ReidentificationService
{
private readonly string _mappingDirectory;
public ReidentificationService(string mappingDirectory)
{
_mappingDirectory = mappingDirectory;
}
public ReidentificationResult Reidentify(string batchId, string cloudStudyId)
{
var result = new ReidentificationResult();
try
{
string mappingFile = Path.Combine(_mappingDirectory, $"{batchId}_mapping.json");
if (!File.Exists(mappingFile))
{
result.Success = false;
result.ErrorMessage = "Mapping file not found";
return result;
}
string json = File.ReadAllText(mappingFile);
var mapping = JsonSerializer.Deserialize<BatchMapping>(json);
// Find original identifiers
var fileMapping = mapping.FileMappings
.FirstOrDefault(f => f.CloudStudyId == cloudStudyId);
if (fileMapping == null)
{
result.Success = false;
result.ErrorMessage = "Study not found in mapping";
return result;
}
result.OriginalPatientId = fileMapping.OriginalPatientId;
result.OriginalStudyUID = fileMapping.OriginalStudyUID;
result.Success = true;
}
catch (Exception ex)
{
result.Success = false;
result.ErrorMessage = ex.Message;
}
return result;
}
}
public class BatchMapping
{
public string BatchId { get; set; }
public DateTime SubmittedAt { get; set; }
public Dictionary<string, string> StudyMappings { get; set; }
public List<FileMapping> FileMappings { get; set; }
}
public class FileMapping
{
public string OriginalPath { get; set; }
public string CloudPath { get; set; }
public string OriginalStudyUID { get; set; }
public string CloudStudyId { get; set; }
public string OriginalPatientId { get; set; }
}
public class ReidentificationResult
{
public bool Success { get; set; }
public string OriginalPatientId { get; set; }
public string OriginalStudyUID { get; set; }
public string ErrorMessage { get; set; }
}
Amalan-amalan terbaik untuk Cloud PACS Anonymous
- ** Penyimpanan peta yang selamat**: Simpan fail pemetaan identiti disulitkan dan terpisah daripada data yang dianonimkan
- Menggunakan pengenalpastian yang konsisten: Pastikan pesakit/study yang sama mendapat ID yang dianonimkan di seluruh muat naik
- Implementasi audit logging: Menjejaki semua operasi anonimiti dan pengenalan semula
- Test secara menyeluruh: Periksa tiada kebocoran PHI melalui tag peribadi atau data tertanam
- Keselamatan rangkaian yang dipertimbangkan: Gunakan TLS untuk semua muat naik awan dan penyimpanan tersulit pada waktu istirahat
Conclusion
Anonimkan fail DICOM untuk awan PACS dan teleradiologi memerlukan pengendalian berhati-hati pengenalpastian pesakit sambil mengekalkan integriti kajian untuk bacaan jauh. Aspose.Medical untuk .NET menyediakan asas untuk membina paip anonim yang selamat yang bersepadu dengan Azure, AWS, dan platform awan yang lain.Dengan melaksanakan peta identiti yang betul dan laluan audit, anda boleh memungkinkan aliran kerja telekomunikasi moden sambil melindungi privasi pasien.
Untuk maklumat lanjut mengenai anonimiti DICOM, lawati Aspose.Dokumen Perubatan.
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