Super high definition imaging system in ATM network

Author(s):  
R. Suzuki
2011 ◽  
Vol 18 (2) ◽  
pp. 207-211 ◽  
Author(s):  
Robert E. Hunger ◽  
Rocco Della Torre ◽  
Alexandre Serov ◽  
Thomas Hunziker

2007 ◽  
Vol 364-366 ◽  
pp. 1157-1161
Author(s):  
Han Chao Zhang ◽  
Zhi Lie Tang ◽  
Yong Heng He ◽  
Li Na Guo

A fast photo-acoustic (PA) imaging system was developed and tested on phantom sample, which consists of an acoustic lens,a multi-element linear transducer array, and the peak detection circuit. The multi-element linear transducer array consists of 64 elements. By utilizing an acoustic lens, the PA signals generated from the sample are imaged and detected by a multi-element linear transducer array, which directly changes the PA signals into the homologous electronic signals. Thus we can map the image more rapidly, with the peak detection circuit, which was designed specially. Compared to other exiting technology and algorithm, the PA imaging system based on an acoustic lens and the peak detection technology was characterized with speediness and real-time. The images reconstructed in this experiment have high definition and resolution,and may have potential for developing an appliance for clinical diagnosis.


1999 ◽  
Vol 6 (3) ◽  
pp. E8 ◽  
Author(s):  
Garnette R. Sutherland ◽  
Taro Kaibara ◽  
Deon Louw ◽  
John Saunders

The authors' goal was to place a mobile, 1.5 tesla magnetic resonance (MR) imaging system into a neurosurgical operating room without adversely affecting established neurosurgical management. The system would help to plan accurate surgical corridors, confirm the accomplishment of operative objectives, and detect acute complications such as hemorrhage or ischemia. The authors used an actively shielded 1.5 tesla magnet, together with 15 m tesla/m gradients, MR console computers, gradient amplifiers, a titanium, hydraulic-controlled operating table, and a radio frequency coil that can be disassembled. The magnet is moved to and from the surgical field by using overhead crane technology. To date, the system has provided unfettered access to 46 neurosurgical patients. In all patients, high-definition T1- and/or T2-weighted images were rapidly and reproducibly acquired at various stages of the surgical procedures. Eleven patients underwent craniotomy that was optimized after pre-incisional imaging. In four patients who harbored subtotally resected tumor, intraoperative MR imaging allowed removal of remaining tumor. Interestingly, the intraoperative administration of gadolinium in the management of patients with malignant glioma demonstrated a dynamic expansion of enhancement beyond the preoperative contrast contour. These zones of new enhancement proved, on examination of biopsy sample, to be tumor. The authors have demonstrated that high-quality MR images can be obtained within reasonable time constraints in the operating room. Procedures can be conducted without compromising or altering traditional neurosurgical, nursing, or anesthetic techniques. It is feasible that within the next decade intraoperative MR imaging may become the standard of care in neurosurgery.


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