Add Support for Multi-Organ Segmentation for AI-Assisted Segmentation Feature in ShapeWorks

Studio/ShapeWorksMONAI/MonaiLabelJob.cpp

@@ -191,10 +191,13 @@ py::dict MonaiLabelJob::getParamsFromConfig(std::string section,
           if (py::isinstance<py::list>(value)) {
             py::list valueList = value.cast<py::list>();
             if (!valueList.empty()) {
-              result[key] = py::str(valueList[0]);
+              // result[key] = py::str(valueList[0]);
+              result[key] = valueList[0];
+
             }
           } else {
-            result[key] = py::str(value);
+            // result[key] = py::str(value);
+            result[key] = value;
           }
         }
       }
@@ -265,6 +268,7 @@ py::tuple MonaiLabelJob::infer(std::string model, std::string image_in,
                      label_in.empty() ? py::none() : py::cast(label_in),
                      file.empty() ? py::none() : py::cast(file),
                      session_id.empty() ? py::none() : py::cast(session_id));
+    // std::cout << "DEBUG | infer call successfully made " << py::repr(result).cast<std::string>() << std::endl;
     // SW_DEBUG("Infer response: " + py::repr(result).cast<std::string>());
   }
 
@@ -375,13 +379,30 @@ void MonaiLabelJob::onRunSegmentationClicked() {
       SW_ERROR("Sample not uploaded yet!");
       return;
     }
+    SW_LOG("⚙️ Processing inference on the current subject");
     py::dict params = getParamsFromConfig("infer", model_name_);
 
     py::tuple result =
         infer(model_name_, currentSampleId_, params, "", "", getSessionId());
 
-    currentSegmentationPath_ =
-        result[0].cast<std::string>();  // temp result for segmentation
+    currentSegmentationPath_ = result[0].cast<std::string>();
+    py::dict result_params = result[1].cast<py::dict>();
+
+    // Extract label names from result_params
+    py::dict label_dict = result_params["label_names"].cast<py::dict>();
+    std::map<int, std::string> organLabels;
+    organNames_.resize(0);
+
+    for (auto &item : label_dict) {
+      std::string organName = item.first.cast<std::string>();
+      int label = item.second.cast<int>();
+      if (label > 0) {  // Exclude background (0)
+        organLabels[label] = organName;
+        organNames_.push_back(organName);
+      }
+    }
+
+    MonaiLabelUtils::processSegmentation(currentSegmentationPath_, organLabels, tmp_dir_, currentSampleId_, currentSegmentationPaths_);
 
     QDir projDir(QString::fromStdString(tmp_dir_));
     QString destPath =
@@ -417,7 +438,7 @@ void MonaiLabelJob::onSubmitLabelClicked() {
     std::string label_in = currentSegmentationPath_;
 
     entry[py::str("name")] = image_in;
-    entry[py::str("idx")] = 1;  // TODO: handle multi-organ label submission
+    entry[py::str("idx")] = 1;
     label_info.append(entry);
 
     py::dict params;
@@ -430,13 +451,14 @@ void MonaiLabelJob::onSubmitLabelClicked() {
 
 //---------------------------------------------------------------------------
 void MonaiLabelJob::updateShapes() {
-  if (!currentSampleId_.empty() && !currentSegmentationPath_.empty()) {
+  if (!currentSampleId_.empty() && !currentSegmentationPaths_.empty()) {
     auto shapes = session_->get_shapes();
-
+    session_->get_project()->set_domain_names(organNames_);
     if (sample_number_ < shapes.size()) {
       auto cur_shape = shapes[sample_number_];
       auto cur_subject = cur_shape->get_subject();
-      cur_subject->set_original_filenames({currentSegmentationPath_});
+      cur_subject->set_number_of_domains(currentSegmentationPaths_.size());
+      cur_subject->set_original_filenames(currentSegmentationPaths_);
     }
 
   } else {

Studio/ShapeWorksMONAI/MonaiLabelJob.h

@@ -107,6 +107,8 @@ class MonaiLabelJob : public Job {
   int sample_number_;
   std::string currentSampleId_;
   std::string currentSegmentationPath_;
+  std::vector<std::string> currentSegmentationPaths_;
+  std::vector<std::string> organNames_;
 
   QSharedPointer<Session> session_;
   ProjectHandle project_;

Studio/ShapeWorksMONAI/MonaiLabelTool.cpp

@@ -105,12 +105,11 @@ void MonaiLabelTool::onConnectServer() {
         "establishing connection with MONAI Label server");
     return;
   }
-  SW_LOG("Connecting to MONAI Label Server...")
+  SW_LOG("⏳ Connecting to MONAI Label Server...")
   ui_->connectServerButton->setText("Connecting...");
   ui_->connectServerButton->setEnabled(false);
   loadParamsFromUi();
   if (model_type_ == MONAI_MODE_SEGMENTATION) {
-    SW_LOG("Connecting to the server...");
     runSegmentationTool();
   } else {
     SW_ERROR(
@@ -194,7 +193,7 @@ void MonaiLabelTool::runSegmentationTool() {
 
 //---------------------------------------------------------------------------
 void MonaiLabelTool::handleClientInitialized() {
-  SW_LOG("Connection successfully established to the server, continue with segmentation!");
+  SW_LOG("✅ Connection successfully established to the server, continue with segmentation!");
   tool_is_running_ = true;
   if (session_->get_shapes().size() > 1)
     ui_->uploadSampleButton->setEnabled(true);
@@ -221,7 +220,7 @@ void MonaiLabelTool::handleClientInitialized() {
 
 //---------------------------------------------------------------------------
 void MonaiLabelTool::handleUploadSampleCompleted() {
-  SW_LOG("Upload complete! Run {} model on the uploaded sample.", model_type_);
+  SW_LOG("✅ Upload complete! Run {} model on the uploaded sample.", model_type_);
   ui_->uploadSampleButton->setEnabled(false);
   ui_->runSegmentationButton->setEnabled(true);
   ui_->submitLabelButton->setEnabled(false);
@@ -237,6 +236,9 @@ void MonaiLabelTool::handleSegmentationCompleted() {
   ui_->runSegmentationButton->setEnabled(false);
   ui_->submitLabelButton->setEnabled(true);
   session_->get_project()->save();
+  SW_LOG(
+      "✅ Segmentation for the current sample done! Submit the prediction label to server or "
+      "proceed with next sample!");
   Q_EMIT progress(66);
 }
 
@@ -250,7 +252,7 @@ void MonaiLabelTool::handleSubmitLabelCompleted() {
   ui_->uploadSampleButton->setEnabled(false);
   ui_->runSegmentationButton->setEnabled(false);
   ui_->submitLabelButton->setEnabled(false);
-  SW_LOG("Label submitted to the server. Proceed with next source volume.")
+  SW_LOG("✅ Label submitted to the server. Proceed with next sample.")
   samples_processed_++;
   // Q_EMIT
   // progress((int)(samples_processed_/session_->get_shapes().size())*100);

Studio/ShapeWorksMONAI/MonaiLabelUtils.cpp

@@ -6,10 +6,17 @@
 #include <QFileInfo>
 #include <QSharedPointer>
 
+#include <itkImageFileReader.h>
+#include <itkImageFileWriter.h>
+#include <itkBinaryThresholdImageFilter.h>
+#include <itkCastImageFilter.h>
+#include <itkImageRegionIterator.h>
 #include <Data/Session.h>
 
 using namespace shapeworks;
 
+typedef float PixelType;
+typedef itk::Image< PixelType, 3 > ImageType;
 namespace monailabel {
 
 bool MonaiLabelUtils::createDir(const QString& dirPath) {
@@ -45,4 +52,94 @@ std::string MonaiLabelUtils::getFeatureName(QSharedPointer<Session> session) {
   return feature_name;
 }
 
+//---------------------------------------------------------------------------
+ImageType::Pointer MonaiLabelUtils::loadNRRD(const std::string& filePath) {
+    using ReaderType = itk::ImageFileReader<ImageType>;
+    ReaderType::Pointer reader = ReaderType::New();
+    reader->SetFileName(filePath);
+    reader->Update();
+    return reader->GetOutput();
+}
+
+//---------------------------------------------------------------------------
+bool MonaiLabelUtils::isOrganPresent(ImageType::Pointer image) {
+    itk::ImageRegionIterator<ImageType> it(image, image->GetRequestedRegion());
+    while (!it.IsAtEnd()) {
+        if (it.Get() > 0) {  // If any non-background pixel is found
+            return true;
+        }
+        ++it;
+    }
+    return false;
+}
+//---------------------------------------------------------------------------
+ImageType::Pointer MonaiLabelUtils::extractOrganSegmentation(ImageType::Pointer inputImage, int label) {
+    using ThresholdFilterType = itk::BinaryThresholdImageFilter<ImageType, ImageType>;
+    ThresholdFilterType::Pointer thresholdFilter = ThresholdFilterType::New();
+    thresholdFilter->SetInput(inputImage);
+    thresholdFilter->SetLowerThreshold(label);
+    thresholdFilter->SetUpperThreshold(label);
+    // thresholdFilter->SetInsideValue(label);
+    thresholdFilter->SetInsideValue(1); // dont save as label
+    thresholdFilter->SetOutsideValue(0);  // Background set to 0
+    thresholdFilter->Update();
+
+    ImageType::Pointer organImage = thresholdFilter->GetOutput();
+    // Check if organ is present in segmentation
+    if (thresholdFilter->GetOutput()->GetBufferedRegion().GetNumberOfPixels() == 0) {
+        return nullptr;  // Return null if the organ is not present
+    } // save all
+    // if (!isOrganPresent(organImage)) {
+    //     return nullptr;  // Return nullptr if no valid organ pixels exist
+    // }
+    // return thresholdFilter->GetOutput();
+    return organImage;
+}
+
+//---------------------------------------------------------------------------
+void MonaiLabelUtils::saveNRRD(ImageType::Pointer image, const std::string& outputPath) {
+    using WriterType = itk::ImageFileWriter<ImageType>;
+    WriterType::Pointer writer = WriterType::New();
+    writer->SetFileName(outputPath);
+    writer->SetInput(image);
+    writer->UseCompressionOn();
+    writer->Update();
+}
+
+//---------------------------------------------------------------------------
+void MonaiLabelUtils::processSegmentation(
+    const std::string& segmentationPath,
+    const std::map<int, std::string>& organLabels, const std::string& outputDir,
+    const std::string& sampleId,
+    std::vector<std::string>& organSegmentationPaths) {
+
+  organSegmentationPaths.resize(0);
+  ImageType::Pointer inputImage = loadNRRD(segmentationPath);
+  if (!inputImage) {
+    SW_ERROR("Failed to load segmentation file: {}", segmentationPath);
+    return;
+  }
+
+  QDir projDir(QString::fromStdString(outputDir));
+  // if (!projDir.exists()) {
+  //   projDir.mkpath(".");
+  // }
+
+  // Extract and save each organ segmentation
+  for (const auto& [label, organName] : organLabels) {
+    ImageType::Pointer organImage = extractOrganSegmentation(inputImage, label);
+
+    if (!organImage) {
+      SW_LOG("Warning: {} (Label {}) not found in segmentation.", organName, label);
+      continue;
+    }
+
+    QString destPath = projDir.filePath(
+        QString::fromStdString(sampleId + "_" + organName + ".nrrd"));
+    saveNRRD(organImage, destPath.toStdString());
+    SW_LOG("✅ Saved segmented organ: {}", destPath.toStdString());
+    organSegmentationPaths.push_back(destPath.toStdString());
+  }
+}
+
 }  // namespace monailabel

Studio/ShapeWorksMONAI/MonaiLabelUtils.h

@@ -7,11 +7,15 @@
 #include <QValidator>
 #include <QSharedPointer>
 #include <Data/Session.h>
+#include <itkImage.h>
 
 namespace shapeworks {
     class Session;
 }
 namespace monailabel {
+
+typedef float PixelType;
+typedef itk::Image< PixelType, 3 > ImageType;
 
 class UrlValidator : public QValidator {
  public:
@@ -45,7 +49,19 @@ class MonaiLabelUtils {
   static bool copySegmentation(const QString& sourcePath,
                                const QString& destinationPath);
   static bool deleteTempFile(const QString& filePath);
-  static std::string getFeatureName(QSharedPointer<shapeworks::Session> session);
+  static std::string getFeatureName(
+      QSharedPointer<shapeworks::Session> session);
+  static ImageType::Pointer loadNRRD(const std::string& filePath);
+  static ImageType::Pointer extractOrganSegmentation(ImageType::Pointer inputImage,
+                                              int label);
+  static void saveNRRD(ImageType::Pointer image, const std::string& outputPath);
+  static bool isOrganPresent(ImageType::Pointer image);
+
+  static void processSegmentation(const std::string& segmentationPath,
+                           const std::map<int, std::string>& organLabels,
+                           const std::string& outputDir,
+                           const std::string& sampleId,
+                           std::vector<std::string>& organSegmentationPaths);
 };
 
 }  // namespace monailabel

docs/new/ai-assisted-segmentation.md

@@ -0,0 +1,13 @@
+
+# AI-Assisted Segmentation in ShapeWorks  
+
+## Getting Started with MONAI Label in ShapeWorks  
+
+[`Medical Open Network for AI (MONAI) Label`](https://monai.io/) is a deep learning framework designed for efficient annotation and segmentation of medical images.  
+
+## What’s New?  
+ShapeWorks Studio now integrates MONAI Label, enabling seamless access to fully automated and interactive deep learning models for segmenting radiology images across various modalities.  
+
+For a detailed demo and step-by-step instructions on using MONAI Label within ShapeWorks Studio, refer to the following guide:  
+
+### [Getting Started with AI-Assisted Segmentation](../studio/ai-assisted-segmentation.md)