I would like to sincerely congratulate the development team of 3DSlicer. I really enjoy the modules/features that 3DSlicer has in general. I also sincerely thank the development team and programmers who provide excellent support to users.
List of completed or ongoing projects since 2017
In doing a project entitled Automatic correction of geometric distortion in MRI images used in radiotherapy treatment planning, CT and MRI scans was taken from the pelxiglass phantom containing thin rods of water. The prepared images were then transferred to 3DSlicer. Registration and extraction of centerlines of this phantom was done by 3DSlicer modules and libraries in VMTK. The modules used in this research include the following: Transforms, Effects in Segment Editor, Segmentations, MergeModels, Scattered Transforms, libraries and tools in VMTK (Vascular Modeling Toolkit) used in Graphical mode, Python Interactor and basch shell. An article entitled Detection and Correction of Geometric Distortion by a Novel Automated Method in Different Magnetic Resonance Images is under review in Radiologica journal.
In doing a project entitled Use of machine vision in determining the characteristics of pulmonary vessels in CT Scan images of COVID-19 patients, we used the Chest Imaging Platform module (CLI). In this study, the pulmonary lobes of patients with COVID-19 disease were extracted by CLI on CT images. Then the properties of the vessels were sampled in the form of particles (Scale Space Particles) and finally the classification of these particles was done by a model based on deep learning in Keras. The research article is being written.
In doing a project entitled Evaluation of Condylar surface morphology in images of CBCT and its relation to blood minerals in patients with Temporomandibular Joint disorders (RDC/TMDII), we used SPHRAM-PDM module. In this study, CBCT image relative to suffering Osteoarthritis and control people were recontructed to statistics analysis by using SPHARM.
In doing a project entitled Determination of relationship between spinal cord atrophy and severity of disability in patients with multiple seleorsis, we used Transforms and Volume Rendring modules to register and view 3D results of Spinal Cord Toolbox on T2 weighted MR images.
In doing a project entitled Dose verification of intra-fraction in IMRT using EPID, we used SlicerRT module to compute and display dose comparison metrics. In this study, we used Plastimatch in bash shell. An article entitled Dosimetric verification of IMRT and 3D conformal treatment delivery using EPID is under review in Applied Radiation and Isotopes journal.
In doing several projects to determine patient specific dosimetry in nuclear medicine using OpenGATE Monte Carlo, we used the following modules to process CT and SPECT or PET images: Volumes, Volume Rendering, Mask Scalar Volume, Cast Scalar Volume, filters in ITK Simple Filters, Markups, Simple Region Growing Segmentation, Label Statistics, Resample Image (BRAINS), Crop Volumes, Forground Masking (BRAINS), Effects in Segment Editor, and Segmentation. The research articles are being written.
In doing a project entitled Harmonization in Quantitative parameters of PET/CT Images for Assessment of Treatment response; A multi-center study on phantiom & patient , we used modules such as Volumes, Volume Rendering, Mask Scalar Volume, Cast Scalar Volume, filters in ITK Simple Filters, Markups, Create Models, Segment Statistics and Label Statistics.
In doing a project entitled Radiotherapy treatment planning based on magnetic resonance images, we used thes modules: Fiducial Registration, Markups, Scattered Transform, Transform and filters in ITK Simple Filters (ScalarChanAndveseDenseLevelSetImageFilter and ShiftScaleImageFilter) .
In continue, I have a hypothesis about the possibility of converting DRR to two-dimensional absorbed dose distribution with using calibration DRRs from water phantoms synthesized in plastimatch based on practical results in our radiotherapy center equipped with LINAC. I shared this with Csaba Pintér and Greg Sharp in April 2021. Unfortunately, I was heavily involved in other projects and I could not continue working.
Also, I interest to develop module to do patient specific dosimetry with OpenGATE. As mentioned above, for doing it, it is necessary to preprocess CT/SPECT or CT/PET images (as attenuation/ source map) for using this data in the macrofiles in OpenGATE code. To do these calculations, most of the work is related to preparing these images.
Wishing you good health and good luck.