Aplicațiile de imagini medicale au adesea nevoie să caute și să solicite metadate DICOM în mod eficient. În timp ce fișierele DIKOM stocă metadata bogată, extragerea acesteia în baze de date permite căutări rapide, analize și integrare cu sistemele de informații spitalice. Acest ghid demonstrează cum să stoceze metadatele DEI în SQL și NoSQL cu ajutorul Aspose.Medical pentru .NET.
De ce stocăm metadata DICOM în baze de date?
Fișierele DICOM conțin metadate extinse, dar căutarea peste mii de fișiere este lentă.
- ** Întrebări rapide**: Găsiți studii pe bază de pacient, dată, modalitate sau orice atribut imediat
- Analiza: Datele agregate pentru raportare și statistică
- Integrație: Conectarea datelor cu imagini cu sistemele EMR/EHR
- Scalabilitate: gestionarea a milioane de studii cu indexarea corespunzătoare
- Full-text search: Găsiți studii prin descrierea cuvintelor cheie
Fundația DICOM Metadata Extraction
În primul rând, creați un extractor de metadata care convertează DICOM în obiecte gata de bază:
using Aspose.Medical.Dicom;
public class DicomMetadataExtractor
{
public DicomStudyRecord ExtractStudyRecord(string filePath)
{
DicomFile dicomFile = DicomFile.Open(filePath);
var dataset = dicomFile.Dataset;
return new DicomStudyRecord
{
// Identifiers
StudyInstanceUID = dataset.GetString(DicomTag.StudyInstanceUID),
SeriesInstanceUID = dataset.GetString(DicomTag.SeriesInstanceUID),
SOPInstanceUID = dataset.GetString(DicomTag.SOPInstanceUID),
AccessionNumber = dataset.GetString(DicomTag.AccessionNumber),
// Patient
PatientID = dataset.GetString(DicomTag.PatientID),
PatientName = dataset.GetString(DicomTag.PatientName),
PatientBirthDate = ParseDicomDate(dataset.GetString(DicomTag.PatientBirthDate)),
PatientSex = dataset.GetString(DicomTag.PatientSex),
// Study
StudyDate = ParseDicomDate(dataset.GetString(DicomTag.StudyDate)),
StudyTime = dataset.GetString(DicomTag.StudyTime),
StudyDescription = dataset.GetString(DicomTag.StudyDescription),
ReferringPhysicianName = dataset.GetString(DicomTag.ReferringPhysicianName),
// Series
Modality = dataset.GetString(DicomTag.Modality),
SeriesDescription = dataset.GetString(DicomTag.SeriesDescription),
SeriesNumber = ParseInt(dataset.GetString(DicomTag.SeriesNumber)),
BodyPartExamined = dataset.GetString(DicomTag.BodyPartExamined),
// Image
InstanceNumber = ParseInt(dataset.GetString(DicomTag.InstanceNumber)),
Rows = ParseInt(dataset.GetString(DicomTag.Rows)),
Columns = ParseInt(dataset.GetString(DicomTag.Columns)),
// Equipment
Manufacturer = dataset.GetString(DicomTag.Manufacturer),
InstitutionName = dataset.GetString(DicomTag.InstitutionName),
StationName = dataset.GetString(DicomTag.StationName),
// File Info
FilePath = filePath,
FileSize = new FileInfo(filePath).Length,
IndexedAt = DateTime.UtcNow
};
}
private DateTime? ParseDicomDate(string dicomDate)
{
if (string.IsNullOrEmpty(dicomDate) || dicomDate.Length != 8)
return null;
if (DateTime.TryParseExact(dicomDate, "yyyyMMdd", null,
System.Globalization.DateTimeStyles.None, out var date))
{
return date;
}
return null;
}
private int? ParseInt(string value)
{
if (int.TryParse(value, out var result))
return result;
return null;
}
}
public class DicomStudyRecord
{
public string StudyInstanceUID { get; set; }
public string SeriesInstanceUID { get; set; }
public string SOPInstanceUID { get; set; }
public string AccessionNumber { get; set; }
public string PatientID { get; set; }
public string PatientName { get; set; }
public DateTime? PatientBirthDate { get; set; }
public string PatientSex { get; set; }
public DateTime? StudyDate { get; set; }
public string StudyTime { get; set; }
public string StudyDescription { get; set; }
public string ReferringPhysicianName { get; set; }
public string Modality { get; set; }
public string SeriesDescription { get; set; }
public int? SeriesNumber { get; set; }
public string BodyPartExamined { get; set; }
public int? InstanceNumber { get; set; }
public int? Rows { get; set; }
public int? Columns { get; set; }
public string Manufacturer { get; set; }
public string InstitutionName { get; set; }
public string StationName { get; set; }
public string FilePath { get; set; }
public long FileSize { get; set; }
public DateTime IndexedAt { get; set; }
}
Integrarea SQL Server
Încărcați metadata DICOM în SQL Server cu entitate framework core:
using Microsoft.EntityFrameworkCore;
public class DicomDbContext : DbContext
{
public DbSet<DicomStudyEntity> Studies { get; set; }
public DbSet<DicomSeriesEntity> Series { get; set; }
public DbSet<DicomInstanceEntity> Instances { get; set; }
public DicomDbContext(DbContextOptions<DicomDbContext> options) : base(options) { }
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
// Study entity
modelBuilder.Entity<DicomStudyEntity>(entity =>
{
entity.HasKey(e => e.StudyInstanceUID);
entity.HasIndex(e => e.PatientID);
entity.HasIndex(e => e.StudyDate);
entity.HasIndex(e => e.AccessionNumber);
entity.HasIndex(e => e.Modality);
});
// Series entity
modelBuilder.Entity<DicomSeriesEntity>(entity =>
{
entity.HasKey(e => e.SeriesInstanceUID);
entity.HasIndex(e => e.StudyInstanceUID);
entity.HasOne(e => e.Study)
.WithMany(s => s.SeriesList)
.HasForeignKey(e => e.StudyInstanceUID);
});
// Instance entity
modelBuilder.Entity<DicomInstanceEntity>(entity =>
{
entity.HasKey(e => e.SOPInstanceUID);
entity.HasIndex(e => e.SeriesInstanceUID);
entity.HasOne(e => e.Series)
.WithMany(s => s.Instances)
.HasForeignKey(e => e.SeriesInstanceUID);
});
}
}
public class DicomStudyEntity
{
public string StudyInstanceUID { get; set; }
public string AccessionNumber { get; set; }
public string PatientID { get; set; }
public string PatientName { get; set; }
public DateTime? PatientBirthDate { get; set; }
public string PatientSex { get; set; }
public DateTime? StudyDate { get; set; }
public string StudyDescription { get; set; }
public string Modality { get; set; }
public string ReferringPhysicianName { get; set; }
public string InstitutionName { get; set; }
public int ImageCount { get; set; }
public DateTime IndexedAt { get; set; }
public List<DicomSeriesEntity> SeriesList { get; set; }
}
public class DicomSeriesEntity
{
public string SeriesInstanceUID { get; set; }
public string StudyInstanceUID { get; set; }
public string Modality { get; set; }
public string SeriesDescription { get; set; }
public int? SeriesNumber { get; set; }
public string BodyPartExamined { get; set; }
public int ImageCount { get; set; }
public DicomStudyEntity Study { get; set; }
public List<DicomInstanceEntity> Instances { get; set; }
}
public class DicomInstanceEntity
{
public string SOPInstanceUID { get; set; }
public string SeriesInstanceUID { get; set; }
public int? InstanceNumber { get; set; }
public int? Rows { get; set; }
public int? Columns { get; set; }
public string FilePath { get; set; }
public long FileSize { get; set; }
public DicomSeriesEntity Series { get; set; }
}
SQL Server pentru operațiuni CRUD:
public class SqlDicomRepository
{
private readonly DicomDbContext _context;
private readonly DicomMetadataExtractor _extractor;
public SqlDicomRepository(DicomDbContext context)
{
_context = context;
_extractor = new DicomMetadataExtractor();
}
public async Task IndexDicomFileAsync(string filePath)
{
var record = _extractor.ExtractStudyRecord(filePath);
// Upsert Study
var study = await _context.Studies.FindAsync(record.StudyInstanceUID);
if (study == null)
{
study = new DicomStudyEntity
{
StudyInstanceUID = record.StudyInstanceUID,
AccessionNumber = record.AccessionNumber,
PatientID = record.PatientID,
PatientName = record.PatientName,
PatientBirthDate = record.PatientBirthDate,
PatientSex = record.PatientSex,
StudyDate = record.StudyDate,
StudyDescription = record.StudyDescription,
Modality = record.Modality,
ReferringPhysicianName = record.ReferringPhysicianName,
InstitutionName = record.InstitutionName,
IndexedAt = DateTime.UtcNow
};
_context.Studies.Add(study);
}
// Upsert Series
var series = await _context.Series.FindAsync(record.SeriesInstanceUID);
if (series == null)
{
series = new DicomSeriesEntity
{
SeriesInstanceUID = record.SeriesInstanceUID,
StudyInstanceUID = record.StudyInstanceUID,
Modality = record.Modality,
SeriesDescription = record.SeriesDescription,
SeriesNumber = record.SeriesNumber,
BodyPartExamined = record.BodyPartExamined
};
_context.Series.Add(series);
}
// Upsert Instance
var instance = await _context.Instances.FindAsync(record.SOPInstanceUID);
if (instance == null)
{
instance = new DicomInstanceEntity
{
SOPInstanceUID = record.SOPInstanceUID,
SeriesInstanceUID = record.SeriesInstanceUID,
InstanceNumber = record.InstanceNumber,
Rows = record.Rows,
Columns = record.Columns,
FilePath = record.FilePath,
FileSize = record.FileSize
};
_context.Instances.Add(instance);
}
await _context.SaveChangesAsync();
}
public async Task<List<DicomStudyEntity>> SearchStudiesAsync(
string patientId = null,
string patientName = null,
DateTime? startDate = null,
DateTime? endDate = null,
string modality = null)
{
var query = _context.Studies.AsQueryable();
if (!string.IsNullOrEmpty(patientId))
query = query.Where(s => s.PatientID == patientId);
if (!string.IsNullOrEmpty(patientName))
query = query.Where(s => s.PatientName.Contains(patientName));
if (startDate.HasValue)
query = query.Where(s => s.StudyDate >= startDate);
if (endDate.HasValue)
query = query.Where(s => s.StudyDate <= endDate);
if (!string.IsNullOrEmpty(modality))
query = query.Where(s => s.Modality == modality);
return await query
.OrderByDescending(s => s.StudyDate)
.Take(100)
.ToListAsync();
}
}
Integrarea MongoDB
Stocati metadata DICOM ca documente JSON in MongoDB:
using MongoDB.Driver;
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
public class MongoDicomDocument
{
[BsonId]
public string SOPInstanceUID { get; set; }
public string StudyInstanceUID { get; set; }
public string SeriesInstanceUID { get; set; }
public string AccessionNumber { get; set; }
public PatientInfo Patient { get; set; }
public StudyInfo Study { get; set; }
public SeriesInfo Series { get; set; }
public ImageInfo Image { get; set; }
public EquipmentInfo Equipment { get; set; }
public FileInfo FileInfo { get; set; }
[BsonDateTimeOptions(Kind = DateTimeKind.Utc)]
public DateTime IndexedAt { get; set; }
}
public class PatientInfo
{
public string ID { get; set; }
public string Name { get; set; }
public DateTime? BirthDate { get; set; }
public string Sex { get; set; }
}
public class StudyInfo
{
public DateTime? Date { get; set; }
public string Time { get; set; }
public string Description { get; set; }
public string ReferringPhysician { get; set; }
}
public class SeriesInfo
{
public string Modality { get; set; }
public string Description { get; set; }
public int? Number { get; set; }
public string BodyPart { get; set; }
}
public class ImageInfo
{
public int? InstanceNumber { get; set; }
public int? Rows { get; set; }
public int? Columns { get; set; }
}
public class EquipmentInfo
{
public string Manufacturer { get; set; }
public string Institution { get; set; }
public string Station { get; set; }
}
public class FileInfo
{
public string Path { get; set; }
public long Size { get; set; }
}
public class MongoDicomRepository
{
private readonly IMongoCollection<MongoDicomDocument> _collection;
private readonly DicomMetadataExtractor _extractor;
public MongoDicomRepository(string connectionString, string databaseName)
{
var client = new MongoClient(connectionString);
var database = client.GetDatabase(databaseName);
_collection = database.GetCollection<MongoDicomDocument>("dicom_instances");
_extractor = new DicomMetadataExtractor();
CreateIndexes();
}
private void CreateIndexes()
{
var indexKeys = Builders<MongoDicomDocument>.IndexKeys;
_collection.Indexes.CreateMany(new[]
{
new CreateIndexModel<MongoDicomDocument>(indexKeys.Ascending(x => x.StudyInstanceUID)),
new CreateIndexModel<MongoDicomDocument>(indexKeys.Ascending(x => x.Patient.ID)),
new CreateIndexModel<MongoDicomDocument>(indexKeys.Ascending(x => x.Study.Date)),
new CreateIndexModel<MongoDicomDocument>(indexKeys.Ascending(x => x.Series.Modality)),
new CreateIndexModel<MongoDicomDocument>(
indexKeys.Text(x => x.Study.Description)
.Text(x => x.Series.Description)
.Text(x => x.Patient.Name))
});
}
public async Task IndexDicomFileAsync(string filePath)
{
var record = _extractor.ExtractStudyRecord(filePath);
var document = new MongoDicomDocument
{
SOPInstanceUID = record.SOPInstanceUID,
StudyInstanceUID = record.StudyInstanceUID,
SeriesInstanceUID = record.SeriesInstanceUID,
AccessionNumber = record.AccessionNumber,
Patient = new PatientInfo
{
ID = record.PatientID,
Name = record.PatientName,
BirthDate = record.PatientBirthDate,
Sex = record.PatientSex
},
Study = new StudyInfo
{
Date = record.StudyDate,
Time = record.StudyTime,
Description = record.StudyDescription,
ReferringPhysician = record.ReferringPhysicianName
},
Series = new SeriesInfo
{
Modality = record.Modality,
Description = record.SeriesDescription,
Number = record.SeriesNumber,
BodyPart = record.BodyPartExamined
},
Image = new ImageInfo
{
InstanceNumber = record.InstanceNumber,
Rows = record.Rows,
Columns = record.Columns
},
Equipment = new EquipmentInfo
{
Manufacturer = record.Manufacturer,
Institution = record.InstitutionName,
Station = record.StationName
},
FileInfo = new FileInfo
{
Path = record.FilePath,
Size = record.FileSize
},
IndexedAt = DateTime.UtcNow
};
await _collection.ReplaceOneAsync(
x => x.SOPInstanceUID == document.SOPInstanceUID,
document,
new ReplaceOptions { IsUpsert = true });
}
public async Task<List<MongoDicomDocument>> FullTextSearchAsync(string searchText)
{
var filter = Builders<MongoDicomDocument>.Filter.Text(searchText);
return await _collection.Find(filter).Limit(100).ToListAsync();
}
public async Task<List<BsonDocument>> GetStudyAggregationAsync()
{
var pipeline = new[]
{
new BsonDocument("$group", new BsonDocument
{
{ "_id", "$StudyInstanceUID" },
{ "patientId", new BsonDocument("$first", "$Patient.ID") },
{ "patientName", new BsonDocument("$first", "$Patient.Name") },
{ "studyDate", new BsonDocument("$first", "$Study.Date") },
{ "modality", new BsonDocument("$first", "$Series.Modality") },
{ "description", new BsonDocument("$first", "$Study.Description") },
{ "imageCount", new BsonDocument("$sum", 1) }
}),
new BsonDocument("$sort", new BsonDocument("studyDate", -1)),
new BsonDocument("$limit", 100)
};
return await _collection.Aggregate<BsonDocument>(pipeline).ToListAsync();
}
}
Integrare elastică
Permite căutarea cu text complet puternic cu Elasticsearch:
using Elasticsearch.Net;
using Nest;
[ElasticsearchType(IdProperty = nameof(SOPInstanceUID))]
public class ElasticDicomDocument
{
public string SOPInstanceUID { get; set; }
public string StudyInstanceUID { get; set; }
public string SeriesInstanceUID { get; set; }
public string AccessionNumber { get; set; }
[Text(Analyzer = "standard")]
public string PatientID { get; set; }
[Text(Analyzer = "standard")]
public string PatientName { get; set; }
public DateTime? PatientBirthDate { get; set; }
[Keyword]
public string PatientSex { get; set; }
public DateTime? StudyDate { get; set; }
[Text(Analyzer = "english")]
public string StudyDescription { get; set; }
[Keyword]
public string Modality { get; set; }
[Text(Analyzer = "english")]
public string SeriesDescription { get; set; }
[Keyword]
public string BodyPartExamined { get; set; }
[Text(Analyzer = "standard")]
public string InstitutionName { get; set; }
public string FilePath { get; set; }
public long FileSize { get; set; }
public DateTime IndexedAt { get; set; }
}
public class ElasticDicomRepository
{
private readonly ElasticClient _client;
private readonly DicomMetadataExtractor _extractor;
private const string IndexName = "dicom-metadata";
public ElasticDicomRepository(string elasticsearchUrl)
{
var settings = new ConnectionSettings(new Uri(elasticsearchUrl))
.DefaultIndex(IndexName);
_client = new ElasticClient(settings);
_extractor = new DicomMetadataExtractor();
CreateIndex();
}
private void CreateIndex()
{
var existsResponse = _client.Indices.Exists(IndexName);
if (!existsResponse.Exists)
{
_client.Indices.Create(IndexName, c => c
.Map<ElasticDicomDocument>(m => m.AutoMap())
.Settings(s => s
.NumberOfShards(1)
.NumberOfReplicas(0)));
}
}
public async Task IndexDicomFileAsync(string filePath)
{
var record = _extractor.ExtractStudyRecord(filePath);
var document = new ElasticDicomDocument
{
SOPInstanceUID = record.SOPInstanceUID,
StudyInstanceUID = record.StudyInstanceUID,
SeriesInstanceUID = record.SeriesInstanceUID,
AccessionNumber = record.AccessionNumber,
PatientID = record.PatientID,
PatientName = record.PatientName,
PatientBirthDate = record.PatientBirthDate,
PatientSex = record.PatientSex,
StudyDate = record.StudyDate,
StudyDescription = record.StudyDescription,
Modality = record.Modality,
SeriesDescription = record.SeriesDescription,
BodyPartExamined = record.BodyPartExamined,
InstitutionName = record.InstitutionName,
FilePath = record.FilePath,
FileSize = record.FileSize,
IndexedAt = DateTime.UtcNow
};
await _client.IndexDocumentAsync(document);
}
public async Task<List<ElasticDicomDocument>> SearchAsync(string query)
{
var response = await _client.SearchAsync<ElasticDicomDocument>(s => s
.Query(q => q
.MultiMatch(mm => mm
.Query(query)
.Fields(f => f
.Field(d => d.PatientName, 2.0)
.Field(d => d.PatientID, 2.0)
.Field(d => d.StudyDescription)
.Field(d => d.SeriesDescription)
.Field(d => d.BodyPartExamined))
.Fuzziness(Fuzziness.Auto)))
.Size(100));
return response.Documents.ToList();
}
public async Task<List<ElasticDicomDocument>> AdvancedSearchAsync(
string patientName = null,
string modality = null,
DateTime? startDate = null,
DateTime? endDate = null,
string bodyPart = null)
{
var response = await _client.SearchAsync<ElasticDicomDocument>(s => s
.Query(q => q
.Bool(b =>
{
var must = new List<Func<QueryContainerDescriptor<ElasticDicomDocument>, QueryContainer>>();
if (!string.IsNullOrEmpty(patientName))
must.Add(m => m.Match(mt => mt.Field(f => f.PatientName).Query(patientName)));
if (!string.IsNullOrEmpty(modality))
must.Add(m => m.Term(t => t.Field(f => f.Modality).Value(modality)));
if (startDate.HasValue || endDate.HasValue)
{
must.Add(m => m.DateRange(dr =>
{
dr = dr.Field(f => f.StudyDate);
if (startDate.HasValue) dr = dr.GreaterThanOrEquals(startDate.Value);
if (endDate.HasValue) dr = dr.LessThanOrEquals(endDate.Value);
return dr;
}));
}
if (!string.IsNullOrEmpty(bodyPart))
must.Add(m => m.Term(t => t.Field(f => f.BodyPartExamined).Value(bodyPart)));
return b.Must(must.ToArray());
}))
.Sort(sort => sort.Descending(d => d.StudyDate))
.Size(100));
return response.Documents.ToList();
}
public async Task<Dictionary<string, long>> GetModalityStatisticsAsync()
{
var response = await _client.SearchAsync<ElasticDicomDocument>(s => s
.Size(0)
.Aggregations(a => a
.Terms("modalities", t => t
.Field(f => f.Modality)
.Size(50))));
var buckets = response.Aggregations.Terms("modalities").Buckets;
return buckets.ToDictionary(b => b.Key, b => b.DocCount ?? 0);
}
}
Serviciul de indexare batch
Indexul întreg DICOM arhivează eficient:
public class DicomIndexingService
{
private readonly SqlDicomRepository _sqlRepo;
private readonly MongoDicomRepository _mongoRepo;
private readonly ElasticDicomRepository _elasticRepo;
public DicomIndexingService(
SqlDicomRepository sqlRepo = null,
MongoDicomRepository mongoRepo = null,
ElasticDicomRepository elasticRepo = null)
{
_sqlRepo = sqlRepo;
_mongoRepo = mongoRepo;
_elasticRepo = elasticRepo;
}
public async Task IndexDirectoryAsync(
string directory,
int maxParallelism = 4,
IProgress<IndexingProgress> progress = null)
{
var files = Directory.GetFiles(directory, "*.dcm", SearchOption.AllDirectories);
var total = files.Length;
var processed = 0;
var errors = 0;
var semaphore = new SemaphoreSlim(maxParallelism);
var tasks = new List<Task>();
foreach (var file in files)
{
await semaphore.WaitAsync();
tasks.Add(Task.Run(async () =>
{
try
{
if (_sqlRepo != null)
await _sqlRepo.IndexDicomFileAsync(file);
if (_mongoRepo != null)
await _mongoRepo.IndexDicomFileAsync(file);
if (_elasticRepo != null)
await _elasticRepo.IndexDicomFileAsync(file);
Interlocked.Increment(ref processed);
}
catch (Exception ex)
{
Interlocked.Increment(ref errors);
Console.WriteLine($"Error indexing {file}: {ex.Message}");
}
finally
{
semaphore.Release();
progress?.Report(new IndexingProgress
{
Total = total,
Processed = processed,
Errors = errors
});
}
}));
}
await Task.WhenAll(tasks);
}
}
public class IndexingProgress
{
public int Total { get; set; }
public int Processed { get; set; }
public int Errors { get; set; }
public double PercentComplete => Total > 0 ? (double)Processed / Total * 100 : 0;
}
Exemple de utilizare
class Program
{
static async Task Main(string[] args)
{
// Initialize license
Metered metered = new Metered();
metered.SetMeteredKey("your-public-key", "your-private-key");
// SQL Server
var optionsBuilder = new DbContextOptionsBuilder<DicomDbContext>();
optionsBuilder.UseSqlServer("Server=localhost;Database=DicomDB;Trusted_Connection=True;");
var sqlRepo = new SqlDicomRepository(new DicomDbContext(optionsBuilder.Options));
// MongoDB
var mongoRepo = new MongoDicomRepository("mongodb://localhost:27017", "dicom_archive");
// Elasticsearch
var elasticRepo = new ElasticDicomRepository("http://localhost:9200");
// Index a directory
var indexer = new DicomIndexingService(sqlRepo, mongoRepo, elasticRepo);
var progress = new Progress<IndexingProgress>(p =>
{
Console.WriteLine($"Progress: {p.PercentComplete:F1}% ({p.Processed}/{p.Total})");
});
await indexer.IndexDirectoryAsync(@"C:\DICOM\Archive", maxParallelism: 8, progress);
// Search examples
var sqlResults = await sqlRepo.SearchStudiesAsync(modality: "CT", startDate: DateTime.Today.AddMonths(-1));
var mongoResults = await mongoRepo.FullTextSearchAsync("chest pain");
var elasticResults = await elasticRepo.SearchAsync("lung nodule");
Console.WriteLine($"SQL results: {sqlResults.Count}");
Console.WriteLine($"MongoDB results: {mongoResults.Count}");
Console.WriteLine($"Elasticsearch results: {elasticResults.Count}");
}
}
concluziile
Stocarea metadatelor DICOM în bazele de date transformă abilitățile de căutare și analiză a imaginii medicale. SQL databases excel la interogări și rapoarte structurate, MongoDB oferă un depozit flexibil de documente ideal pentru scheme de metadate diferite, iar Elasticsearch permite căutarea cu text complet puternic prin descrieri de studiu. Aspose.Medical pentru .NET simplifică procesul de extracție, vă permite să vă concentrați pe construirea unor platforme de informații robuste pentru imagini.
Pentru mai multe informații despre extractarea metadata DICOM, vizitați Aspose.Documentație medicală.
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