/**
* Organize all the data required for anonymization.
*
* @param cmds the complete set of scripts.
* @param lkup the local lookup table.
* @param inDS the input dataset.
* @param outDS the dataset to be modified
*/
public DICOMAnonymizerContext(
Properties cmds, Properties lkup, IntegerTable intTable, Dataset inDS, Dataset outDS) {
this.cmds = cmds;
this.lkup = lkup;
this.intTable = intTable;
this.inDS = inDS;
this.inFMI = inDS.getFileMetaInfo();
this.outDS = outDS;
// Build the index of private groups
pgIndex = new PrivateGroupsIndex(inDS);
// Make a table to hold locally defined names for private elements
privateElementNames = new Hashtable<String, Integer>();
// Set up the booleans to handle the global cases
rpg = (cmds.getProperty("remove.privategroups") != null);
rue = (cmds.getProperty("remove.unspecifiedelements") != null);
rol = (cmds.getProperty("remove.overlays") != null);
rc = (cmds.getProperty("remove.curves") != null);
kspe = (cmds.getProperty("keep.safeprivateelements") != null);
// Set up the keepGroups and the script Hashtable
LinkedList<String> list = new LinkedList<String>();
scriptTable = new Hashtable<Integer, String>();
for (Enumeration it = cmds.keys(); it.hasMoreElements(); ) {
String key = (String) it.nextElement();
if (key.startsWith("set.[")) {
int k = findClosingBracket(key, 4);
if (k > 0) {
int tag = getElementTag(key.substring(5, k));
if (tag != 0) {
// Store the script
Integer tagInteger = new Integer(tag);
scriptTable.put(tagInteger, cmds.getProperty(key));
// If this is a private group element with a name, index the name.
if ((tag & 0x10000) != 0) {
String name = key.substring(k + 1).trim();
if (!name.equals("")) privateElementNames.put(name, tagInteger);
}
}
}
} else if (key.startsWith("keep.group")) {
list.add(key.substring("keep.group".length()).trim());
}
}
// Convert the list to an int[]
Iterator<String> iter = list.iterator();
keepGroups = new int[list.size()];
for (int i = 0; i < keepGroups.length; i++) {
try {
keepGroups[i] = Integer.parseInt(iter.next(), 16) << 16;
} catch (Exception ex) {
keepGroups[i] = 0;
}
}
Arrays.sort(keepGroups);
inStack = new LinkedList<Dataset>();
outStack = new LinkedList<Dataset>();
}
/**
* Convert an image to RGB.
*
* @param inFile the file to convert.
* @param outFile the output file, which may be same as inFile.
* @return the static status result
*/
public static AnonymizerStatus convert(File inFile, File outFile) {
long fileLength = inFile.length();
logger.debug("Entering DICOMPaletteImageConverter.convert");
logger.debug("File length = " + fileLength);
BufferedInputStream in = null;
BufferedOutputStream out = null;
File tempFile = null;
byte[] buffer = new byte[4096];
try {
// Check that this is a known format.
in = new BufferedInputStream(new FileInputStream(inFile));
DcmParser parser = pFact.newDcmParser(in);
FileFormat fileFormat = parser.detectFileFormat();
if (fileFormat == null) {
throw new IOException("Unrecognized file format: " + inFile);
}
// Get the dataset (excluding pixels) and leave the input stream open
Dataset dataset = oFact.newDataset();
parser.setDcmHandler(dataset.getDcmHandler());
parser.parseDcmFile(fileFormat, Tags.PixelData);
// Make sure this is an image
if (parser.getReadTag() != Tags.PixelData) {
close(in);
return AnonymizerStatus.SKIP(inFile, "Not an image");
}
// Get the required parameters and make sure they are okay
int numberOfFrames = getInt(dataset, Tags.NumberOfFrames, 1);
int rows = getInt(dataset, Tags.Rows, 0);
int columns = getInt(dataset, Tags.Columns, 0);
String photometricInterpretation = getString(dataset, Tags.PhotometricInterpretation, "");
if ((rows == 0) || (columns == 0)) {
close(in);
return AnonymizerStatus.SKIP(inFile, "Unable to get the rows and columns");
}
if (!photometricInterpretation.equals("PALETTE COLOR")) {
close(in);
return AnonymizerStatus.SKIP(
inFile, "Unsupported PhotometricInterpretation: " + photometricInterpretation);
}
if (parser.getReadTag() != Tags.PixelData) {
close(in);
return AnonymizerStatus.SKIP(inFile, "No pixels");
}
// Get the encoding and set the parameters
DcmDecodeParam fileParam = parser.getDcmDecodeParam();
String fileEncodingUID = UIDs.ImplicitVRLittleEndian;
FileMetaInfo fmi = dataset.getFileMetaInfo();
if (fmi != null) fileEncodingUID = fmi.getTransferSyntaxUID();
boolean isBigEndian = fileEncodingUID.equals(UIDs.ExplicitVRBigEndian);
String encodingUID = UIDs.ExplicitVRLittleEndian;
DcmEncodeParam encoding = (DcmEncodeParam) DcmDecodeParam.valueOf(encodingUID);
boolean swap = (fileParam.byteOrder != encoding.byteOrder);
if (encoding.encapsulated) {
logger.debug("Encapsulated pixel data found");
close(in);
return AnonymizerStatus.SKIP(inFile, "Encapsulated pixel data not supported");
}
// Get the LUTs
LUT red =
new LUT(
dataset.getInts(Tags.RedPaletteColorLUTDescriptor),
dataset.getInts(Tags.RedPaletteColorLUTData));
LUT green =
new LUT(
dataset.getInts(Tags.GreenPaletteColorLUTDescriptor),
dataset.getInts(Tags.GreenPaletteColorLUTData));
LUT blue =
new LUT(
dataset.getInts(Tags.BluePaletteColorLUTDescriptor),
dataset.getInts(Tags.BluePaletteColorLUTData));
// Set the PlanarConfiguration to 0
dataset.putUS(Tags.PlanarConfiguration, 0);
// Set the PhotometricInterpretation to RGB
dataset.putCS(Tags.PhotometricInterpretation, "RGB");
// Set the pixel parameters
dataset.putUS(Tags.SamplesPerPixel, 3);
dataset.putUS(Tags.BitsAllocated, 8);
dataset.putUS(Tags.BitsStored, 8);
dataset.putUS(Tags.HighBit, 7);
// Remove the lookup tables and their descriptors
dataset.remove(Tags.RedPaletteColorLUTDescriptor);
dataset.remove(Tags.GreenPaletteColorLUTDescriptor);
dataset.remove(Tags.BluePaletteColorLUTDescriptor);
dataset.remove(Tags.RedPaletteColorLUTData);
dataset.remove(Tags.GreenPaletteColorLUTData);
dataset.remove(Tags.BluePaletteColorLUTData);
// Save the dataset to a temporary file, and rename at the end.
File tempDir = outFile.getParentFile();
tempFile = File.createTempFile("DCMtemp-", ".anon", tempDir);
out = new BufferedOutputStream(new FileOutputStream(tempFile));
// Create and write the metainfo for the encoding we are using
fmi = oFact.newFileMetaInfo(dataset, encodingUID);
dataset.setFileMetaInfo(fmi);
fmi.write(out);
// Write the dataset as far as was parsed
dataset.writeDataset(out, encoding);
// Process the pixels
int nPixels = numberOfFrames * rows * columns;
int nPixelBytes = nPixels * 3 /*samplesPerPixel*/;
int pad = nPixelBytes & 1;
dataset.writeHeader(out, encoding, parser.getReadTag(), VRs.OB, nPixelBytes + pad);
int pd;
int b1, b2;
int bytesPerFrame = rows * columns * 2;
byte[] frameBytes = new byte[bytesPerFrame];
for (int frame = 0; frame < numberOfFrames; frame++) {
if (in.read(frameBytes, 0, frameBytes.length) != bytesPerFrame)
throw new Exception("End of File");
for (int p = 0; p < bytesPerFrame; ) {
b1 = frameBytes[p++];
b2 = frameBytes[p++];
if (!swap) {
pd = ((b2 & 0xff) << 8) | (b1 & 0xff);
} else {
pd = ((b1 & 0xff) << 8) | (b2 & 0xff);
}
out.write(red.get(pd));
out.write(green.get(pd));
out.write(blue.get(pd));
}
}
if (pad != 0) out.write(0);
logger.debug("Finished writing the pixels");
// Skip everything after the pixels
out.flush();
out.close();
in.close();
outFile.delete();
tempFile.renameTo(outFile);
return AnonymizerStatus.OK(outFile, "");
} catch (Exception e) {
logger.debug("Exception while processing image.", e);
// Close the input stream if it actually got opened.
close(in);
// Close the output stream if it actually got opened,
// and delete the tempFile in case it is still there.
try {
if (out != null) {
out.close();
tempFile.delete();
}
} catch (Exception ex) {
logger.warn("Unable to close the output stream.");
}
// Quarantine the object
return AnonymizerStatus.QUARANTINE(inFile, e.getMessage());
}
}
