A5054316220- Advanced MRI Techniques and Applications
- Human Pose and Action Recognition
- Human Motion and Animation
- Medical Imaging Techniques and Applications
- Seismic Imaging and Inversion Techniques
- Advanced NMR Techniques and Applications
- Video Analysis and Summarization
- Digital Imaging in Medicine
- Radiology practices and education
- Social Robot Interaction and HRI
- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- Traumatic Brain Injury and Neurovascular Disturbances
- Digital Radiography and Breast Imaging
- NMR spectroscopy and applications
- Cardiac Imaging and Diagnostics
Peking University
2023
VA Maryland Health Care System
2000
University of Pennsylvania
1987-1992
California University of Pennsylvania
1989
PURPOSE: To evaluate use of triphasic helical computed tomography (CT) for early diagnosis occlusion and assessment ischemia in cases acute middle cerebral arterial occlusion. MATERIALS AND METHODS: Thirty-five patients with underwent CT within 6 hours after symptom onset. Early arterial, perfusion, delayed phase scans were obtained 18, 30, 80 seconds, respectively, contrast material administration. Eighteen had proximal diagnosed at magnetic resonance (MR) or digital subtraction...
In this paper we propose a method to overcome the effects of cardiac and respiratory motion in coronary subtraction imaging. We present ideas retrospective gating masks, where both phases are measured for set subsequently used functional decomposition motion. Through able select appropriate images perform temporal spatial processing on them produce computed which should lead motion-artifact-free images. The masks built from two components: first includes time-variant structures related...
Iterative Data Refinement (abbreviated IDR) is a general procedure which encompasses many special procedures for image reconstruction and related problems. It estimating data that would have been collected by an idealized measuring device from were actual device. Such approaches applied successfully in areas of x-ray tomographic radiology. In fact, IDR enough to encompass standard recovery, such as the Error-Reduction Hybrid Input-Output methods. Along similar lines, provides common...
Human motion generation aims to generate natural human pose sequences and shows immense potential for real-world applications. Substantial progress has been made recently in data collection technologies methods, laying the foundation increasing interest generation. Most research within this field focuses on generating motions based conditional signals, such as text, audio, scene contexts. While significant advancements have recent years, task continues challenges due intricate nature of its...