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DICOM -> JPG/PNG/BMP/TIFF/ndarray

Project description

dicom2jpg

Converts DICOM to JPG/PNG/BMP/TIFF and numpy.ndarray

Installation

pip install dicom2jpg

Introdunction

import dicom2jpg

dicom_img_01 = "/Users/user/Desktop/img01.dcm"
dicom_dir = "/Users/user/Desktop/Patient_01"
export_location = "/Users/user/Desktop/BMP_files"

# convert single DICOM file to numpy.ndarray for further use
img_data = dicom2jpg.dicom2img(dicom_img_01)

# convert single DICOM file to jpg format
dicom2jpg.dicom2jpg(dicom_img_01)  

# convert all DICOM files in dicom_dir folder to png format
dicom2jpg.dicom2png(dicom_dir)  

# convert all DICOM files in dicom_dir folder to bmp, to a specified location
dicom2jpg.dicom2bmp(dicom_dir, target_root=export_location) 

# convert DICOM ByteIO to numpy.ndarray
img_data = dicom2jpg.io2img(dicomIO)

dicom2jpg converts DICOM images to JPG/PNG/BMP/TIFF formats and to numpy.ndarray. It applies window center(level) and window width adjustment, or VOI LUT function to the images, which makes output files looks like what we see on standard DICOM viewers.

dicom2jpg.dicom2jpg(origin, target_root=None, anonymous=False, multiprocessing=True)

dicom2jpg.dicom2png(origin, target_root=None, anonymous=False, multiprocessing=True)

dicom2jpg.dicom2bmp(origin, target_root=None, anonymous=False, multiprocessing=True)

dicom2jpg.dicom2tiff(origin, target_root=None, anonymous=False, multiprocessing=True)

dicom2jpg.dicom2img(origin)

dicom2jpg.io2img(dicomIO)

  • origin can be a single DICOM file or folder contains DICOM files

  • target_root is would be the same root folder of the origin if not specified

  • exported files will be in

    target_root/Today/PatientID_filetype/StudyDate_StudyTime_Modality_AccNum/Ser_Img.filetype

  • anonymous file paths are

    target_root/Today/Patient_SerialNum/ModalitySerialNum_Modality/Ser_Img.filetype

Image examples

CT MR CXR

Todo

  • Support multi-frame images
  • Image compression
  • Support overlays

Performance

  • Environment: Windows10, Jupyter Notebook, Python 3.8.10
  • 598MB 1873 files {'CT': 1528, 'CR': 52, 'MR': 174, 'DX': 36}
  • Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz. 4 Cores (hyper-threading off)
  • Tested on Ramdisk (no physical HDD was tortured :P)
multiprocessing anonymous duration (seconds)
False True 154.6-159.7
True True 79.2-82.9
False False 157.9-162.8
True False 56-58.5

Project details


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