A5024832983- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Detection and Scintillator Technologies
- Advanced X-ray and CT Imaging
- Digital Radiography and Breast Imaging
- Advanced Radiotherapy Techniques
- Particle Detector Development and Performance
- Image Processing Techniques and Applications
- Multimodal Machine Learning Applications
- Lung Cancer Diagnosis and Treatment
- Natural Language Processing Techniques
- Advanced Image Processing Techniques
- AI in cancer detection
- Nuclear Physics and Applications
- Atomic and Subatomic Physics Research
- Advanced Vision and Imaging
- Toxic Organic Pollutants Impact
- Free Radicals and Antioxidants
- Analytical Chemistry and Chromatography
Qingdao University
2023-2024
Chinese Academy of Sciences
2015-2019
Institute of High Energy Physics
2015-2019
Dalian Maritime University
2019
Key Laboratory of Nuclear Radiation and Nuclear Energy Technology
2015-2016
A new polygon positron emission mammography imaging system (PEMi) was developed in 2009 by the Institute of High Energy Physics, Chinese Academy Sciences. PEMi is constructed a structure with lutetium yttrium orthosilicate crystal arrays mounted on position-sensitive photomultiplier. The consists 64 blocks and each block arranged 16 ×16 pixel size 1.9 ×1.9 ×15 mm. diameter detector ring 166 mm, axial length 128 transaxial field view 110 goal initial study to test PEMi's performance clinical...
Breast-dedicated positron emission tomography (PET) imaging techniques have been developed in recent years. Their capacities to detect millimeter-sized breast tumors the subject of many studies. Some them confirmed with good results clinical applications. With regard biopsy application, a double-plane detector arrangement is practicable, as it offers convenience immobilization. However, serious blurring effect PET, changeable spacing for different sizes, should be studied. We investigated...
Objective . To compare the diagnostic performance of three-dimensional (3D) positron emission mammography (PEM) versus whole body tomography (WBPET) for breast cancer. Methods A total 410 women with normal or benign highly suspicious malignant tumors were randomized at 1 : ratio to undergo 3D-PEM followed by WBPET 3D-PEM. Lumpectomy mastectomy was performed on eligible participants after scanning. Results The sensitivity and specificity 92.8% 54.5%, respectively. showed a 95.7% 56.8%. After...
Positron Emission Mammography (PEM) imaging systems with the ability in detection of millimeter-sized tumors were developed recent years. And some them have been well used clinical applications. In consideration biopsy application, a double-plane PET is more practical than ring detector for convenience breast immobilization. this study, possibility imaging-guided intervention under was studied. The distance between planes changeable different size. system matrix computed real-time every...
A new polygon Positron Emission Mammography imaging system called PEMi with the ability to detect millimeter-sized lesions has been developed in 2009 by Institute of High Energy Physics (IHEP), Chinese Academy Sciences. The is constructed a structure design LYSO crystal arrays mounted on position sensitive photomultiplier (PSPMT). diameter detector ring 166 mm and axial length 128 mm. Transaxial field view (FOV) 110 Reconstructed image resolution at center FOV 1.58 radial direction, 1.41...
The Positron Emission Mammography imaging system (PEMi) provides a novel nuclear diagnosis method dedicated for breast imaging. With better resolution than whole body PET, PEMi can detect millimeter-sized tumors. To address the requirement of semi-quantitative analysis with radiotracer concentration map breast, new attenuation correction based on three-dimensional seeded region growing image segmentation (3DSRG-AC) has been developed. gives 3D connected as result instead slices. continuity...
Image translation plays a crucial role in computer vision and has extensive applications various visual fields, including image stylization super-resolution generation. Labeling datasets can be challenging expensive, especially when it comes to semantic labeling. This paper presents framework for few-shot with prototype correction. It mainly encompasses three modules, namely the StyleGAN module, similarity regressor pSp encoder module. First, prevent overfitting during training by using...