Cloud-based PACS (Picture Archiving and Communication Systems) un teleradioloģijas pakalpojumi pārveido medicīnisko attēlu, ļaujot attālināti piekļuvi diagnostikas attēliem. Tomēr, pārvietojot pacienta datus uz debesīm videi nepieciešama rūpīga uzmanība privātuma un drošības jautājumiem. Šis ceļvedis parāda, kā īstenot DICOM anonimizāciju mākoņos un telekomunikāciju darba plūsmās, izmantojot Aspose.Medical .NET.

Kāpēc anonimizēt mākoņu un radioloģiju?

Kad DICOM attēli atstāj slimnīcas tīklu mākoņa glabāšanai vai attālināti lasīšanai, piemēro papildu privātuma apsvērumus:

  • Datu rezidence: Pacienta dati var šķērsot ģeogrāfiskās robežas, ja piemērojami dažādi noteikumi
  • Trešo pušu piekļuve: mākoņu pakalpojumu sniedzēji un teleradioloģijas pakalpojumi ir biznesa partneri HIPAA ietvaros
  • Tīkla pārsūtīšana: datu pārraide internetā prasa papildu aizsardzību
  • Multi-tenant vides: mākoņu sistēmas var uzglabāt datus no vairākām veselības aprūpes organizācijām
  • Remote radiologists: ārējiem lasītājiem var nebūt nepieciešama piekļuve pacienta identifikatoram

Anonimizācija rada drošības slānis, kas aizsargā pacienta privātumu pat tad, ja citi drošuma pasākumi neizdodas.

Cloud Upload anonimizācijas pakalpojums

Izveidojiet pakalpojumu, kas anonimizē DICOM failus pirms mākoņa lejupielādes:

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; }
}

Teleradioloģijas darba plūsmas integrācija

Izveidojiet pilnīgu teleradioloģijas anonimizācijas cauruļu:

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; }
}

Azure Blob uzglabāšanas integrācija

Lejupielādēt anonīmus DICOM failus uz 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>();
}

AWS S3 integrācija

Lejupielādēt anonīmu DICOM uz 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; }
}

Reālā laika anonimizācijas portāls

Izveidojiet API portālu, kas anonimizē DICOM reālajā laikā mākoņu skatītājiem:

[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";
}

Reidentifikācijas pakalpojumi

Īstenošana nodrošina re-identifikāciju lasīšanas ziņojumiem:

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; }
}

Labākās prakses Cloud PACS anonimizācijai

  • Drošs mapēšanas uzglabāšana: saglabā identitātes kartēšanas failus šifrēti un atdalīti no anonimizētiem datiem
  • Uz pastāvīgu identifikatoru izmantošana: Pārliecinieties, ka viens un tas pats pacients/studijas saņem vienu un to pašu anonīmu ID visās lejupielādēs
  • Izpildes revīzijas logging: izsekot visus anonimizācijas un pāridentifikācijas operācijas
  • Test rūpīgi: Pārbaudiet, ka nav PHI plūsmas caur privātiem tagiem vai iebūvētiem datiem
  • Consider tīkla drošība: Izmantojiet TLS visiem mākoņu lejupielādējumiem un šifrētu uzglabāšanu atpūsties

Conclusion

Anonimizēt DICOM failus mākoņa PACS un teleradioloģijas prasa rūpīgu pacienta identifikatoru apstrādi, vienlaikus saglabājot pētījuma integritāti attālināti lasīšanai. Aspose.Medical for .NET nodrošina pamatu, lai izveidotu drošu anonimizācijas cauruļvadu, kas integrējas ar Azure, AWS un citām mākonis platformām.

Vairāk informācijas par DICOM anonimizāciju, apmeklējiet Aspose.Medicīnas dokumentācija.

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