DeepParcellation: deep learning for robust brain MRI parcellation of elderly East Asians
- The project was initiated by Dr. Lim (abysslover) and Dr. Choi (yooha1003).
- The code is written by Dr. Lim at Gwangju Alzheimer's & Related Dementia (GARD) Cohort Research Center (GARD CRC), Chosun University.
- This research was conducted in collaborations with the following people: Eun-Cheon Lim1, Uk-Su Choi1, Kyu Yeong Choi1, Jang Jae Lee1, Yul-Wan Sung2, Seji Ogawa2, Byeong-Chae Kim3 Kun Ho Lee1 and Jungsoo Gim1.
- Gwangju Alzheimer's & Related Dementia (GARD) Cohort Research Center, Chosun University, Gwangju, 61452, Republic of Korea
- Kansei Fukushi Research Institute, Tohoku Fukushi University, Sendai, Miyagi, 9893201, Japan
- Department of Neurology, Chonnam National University Medical School, Gwangju, 61469, Republic of Korea
- The manuscript is available in the Frontiers in Aging Neuroscience.
A step-by-step tutorial is provided in the following sections.
You should install CUDA-enabled GPU cards with at least 8GB GPU memory manufactured by nVidia, e.g., Titan XP.
- Convert MR images to Neuroimaging Informatics Technology Initiative (NIfTI) format.
- The parent directory name of a NIfTI file path will be used as Subject Id during prediction.
- You can specify either an input path of the NIfTI file or input direcotry of many NIfTI files.
- Install Anaconda
- Download an Anaconda distribution: Link
- Create a Conda environment
conda create -n deepparc python=3.8 -y
- Install DeepParcellation (CPU mode)
conda activate deepparc
pip install deepparcellation
- Install DeepParcellation (GPU mode)
conda activate deepparc
pip install deepparcellation
conda install cudnn=7.6.5 -c anaconda -y
conda install cudatoolkit=10.1.243 -c conda-forge -y
pip uninstall tensorflow -y
pip install tensorflow-gpu==2.2.0
pip uninstall keras -y
conda install keras-gpu=2.4.3 -c anaconda -y
- Install DeepParcellation (Mac with M1 Chip)
conda activate deepparc
export GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
export GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1
export CFLAGS="-I/opt/homebrew/opt/openssl/include"
export LDFLAGS="-L/opt/homebrew/opt/openssl/lib"
conda install -c apple tensorflow-deps -y
pip install tensorflow-macos
pip install deepparcellation
- Run DeepParcellation
conda activate deepparc
deepparcellation -o=/tmp/test --i=./subject-0-0000/test.nii.gz
or
deepparcellation -o=/tmp/test --i=./
NOTE:
- You must always activate the conda enviroment before running DeepParcellation if you opened a new console.
Please contact [email protected] if you have any questions about DeepParcellation.