I've recently started pursuing PhD in Medical Image Processing. I am struggling to find a suitable problem to carry out research.
I was initially interested in working on brain images but after doing studies and according to peers' advices lots of works have already done with brain, but still work can be done on:
1. Retinal images
2. Chest radiography
3. Estimating probability of lung cancer etc.
I would be obliged if somebody suggests me some relevant topics(related to brain or other organs) where still there are lots of scopes to work on.
Image Segmentation/Classification
Fusion of three head scans Fusion of thoracic datasets Accuracy & clinical versatility 3D compound ultrasound scan Tumor response to radiation therapy Correction of MRI amplitude inhomogeneities Fast and memory-efficient 3D segmentation and morphology
Well, there are are thousands of interesting topics for many imaging modalities. It might be better to decide what you want to do first, so that you will be able to limit your search.
Do you want to work on image reconstruction, segmentation, analyses or registration? Which imaging modality you want to work with (CT, MRI, ultrasound, mammography, X-rays, SPECT-CT, PET-CT, DEXA, interventional imaging, multimodal, etc)? Are you interested in 2D or 3D imaging, clinical or pre-clinical? Do you want to work with deep learning or no?
After answering some of these questions, look for research groups that are working in a related discipline and their current projects, or recent publications for an inspiration. Also check proceedings of major image processing conferences (e.g., MICCAI, NeurIPS, SPIE Medical Imaging, Fully3D, IEEE MIC)
Good luck!
It would be interesting to see more advanced brain imaging of the brain stem and spinal cord.
https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection
Major PhD research topic in medical image processing includes areas like object tracking, pose estimation, image retrieval from medical images, Synthetic Aperture Radar and satellite imagery, Bio-structure modelling and simulation
Image Segmentation/Classification
Fusion of three head scans Fusion of thoracic datasets Accuracy & clinical versatility 3D compound ultrasound scan Tumor response to radiation therapy Correction of MRI amplitude inhomogeneities Fast and memory-efficient 3D segmentation and morphology
The current topics for research in Medical Image Processing :
mage Segmentation/
Classification Fusion of thoracic datasets
Accuracy & clinical versatility
3D compound ultrasound scan Tumor response to radiation therapy
Research topics in medical image processing
- Biomedical Imaging.
- Computer Vision.
- Discovery Radiomics.
- Evolutionary Deep Intelligence.
- Image Segmentation/Classification.
- Multiresolution Techniques.
- Remote Sensing.
- Scientific Imaging.
Research topics that are currently hot in a study in medical image processing are
- 3d reconstruction of organs using 2d images
- GAN (generative adversarial network) for medical images
- Working with complex 3d and 4d MRI and CT images
Please read this link:
https://www.techsparks.co.in/thesis-topics-in-digital-image-processing/
- GANs in medical imaging
- Utilizing neural networks with inference engines to increase the efficiency of existing models
- 3d reconstruction of organs
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