It took a while, but I ended up solving my problem by using a method from a Java library. You can see the class here.
string file = @"adicomfile.dcm";
DicomFile df = new DicomFile();
df.Load(file);
// Get the amount of bits per pixel from the DICOM header.
int bitsPerPixel = df.DataSet[DicomTags.BitsAllocated].GetInt32(0, 0);
// Get the raw pixel data from the DICOM file.
byte[] bytes = df.DataSet[DicomTags.PixelData].Values as byte[];
// Get the width and height of the image.
int width = df.DataSet[DicomTags.Columns].GetInt32(0, 0);
int height = df.DataSet[DicomTags.Rows].GetInt32(0, 0);
byte[] newBytes = new byte[height * width * (bitsPerPixel / 8)];
int stride = bitsPerPixel / 8;
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width * stride; x++)
{
newBytes[((height - y - 1) * (width * stride)) + x] = bytes[(y * (width * stride)) + x];
}
}
// Set patient orientation.
df.DataSet[DicomTags.PatientOrientation].Values = @"A\L";
// The pixel data of the DICOM file to the flipped/mirrored data.
df.DataSet[DicomTags.PixelData].Values = mirroredPixels;
// Save the DICOM file.
df.Save(@"flippedicom.dcm", DicomWriteOptions.Default);
The output was correct and I was able to continue other modifications to the raw pixel data.
Thank you all for the pointers.