Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhanyu Ge"'
Publikováno v:
Medical Physics. 34:3093-3101
Although x-ray intensity shaping filters (bowtie filters) have been used since the introduction of some of the earliest CT scanner models, the clinical implications on dose and noise are not well understood. To achieve the intended dose and noise adv
Autor:
Ella A. Kazerooni, Lubomir M. Hadjiiski, Jun Wei, Zhanyu Ge, Naama Bogot, Philip N. Cascade, Berkman Sahiner, Chuan Zhou, Heang Ping Chan
Publikováno v:
Medical Physics. 32:2443-2454
We are developing a computer-aided detection system to assist radiologists in the detection of lung nodules on thoracic computed tomography (CT) images. The purpose of this study was to improve the false-positive (FP) reduction stage of our algorithm
Autor:
Zhanyu Ge, Uri Shreter, John Londt, Olivier Adda, David A. Dowe, Melissa Vass, Jean-Louis Sabllayrolles, Jiang Hsieh
Publikováno v:
SPIE Proceedings.
We present the results of dose and image quality performance evaluation of a novel, prospective ECG-gated Coronary CT Angiography acquisition mode (SnapShot Pulse, LightSpeed VCT-XT scanner, GE Healthcare, Waukesha, WI), and compare it to conventiona
Autor:
Zhanyu, Ge, Berkman, Sahiner, Heang-Ping, Chan, Lubomir M, Hadjiiski, Philip N, Cascade, Naama, Bogot, Ella A, Kazerooni, Jun, Wei, Chuan, Zhou
Publikováno v:
Medical physics. 32(8)
We are developing a computer-aided detection system to assist radiologists in the detection of lung nodules on thoracic computed tomography (CT) images. The purpose of this study was to improve the false-positive (FP) reduction stage of our algorithm
Autor:
Ella A. Kazerooni, Philip N. Cascade, Naama Bogot, Berkman Sahiner, Zhanyu Ge, Lubomir M. Hadjiiski, Heang Ping Chan
Publikováno v:
Medical Imaging: Image Processing
We are developing a computer-aided detection (CAD) system for lung nodules in thoracic CT volumes. During false positive (FP) reduction, the image structures around the identified nodule candidates play an important role in differentiating nodules fr
Autor:
Naama Bogot, Chuan Zhou, Heang Ping Chan, Ella A. Kazerooni, Berkman Sahiner, Jun Wei, Lubomir M. Hadjiiski, Zhanyu Ge, Philip N. Cascade
Publikováno v:
Medical Imaging: Image Processing
We are developing a computer-aided detection system to aid radiologists in diagnosing lung cancer in thoracic computed tomographic (CT) images. The purpose of this study was to improve the false-positive (FP) reduction stage of our algorithm by devel
Autor:
Nicholas Petrick, Chuan Zhou, Heang Ping Chan, Lubomir M. Hadjiiski, Zhanyu Ge, Jun Wei, Mark A. Helvie, Berkman Sahiner
Publikováno v:
Medical Imaging: Image Processing
Several full-field digital mammography (FFDM) systems have been approved for clinical applications. It is important to develop a CAD system that can easily be adapted to images acquired by FFDM systems from different manufacturers. To develop a CAD s
Publikováno v:
CBMS
The authors have previously (2001) successfully used the deterministic annealing (DA) algorithm to segment simulated magnetic resonance images (MRI) of a normal brain. This paper presents the results of applying the same algorithm to simulated and ac
Autor:
Sunanda Mitra, Zhanyu Ge
Publikováno v:
Medical Imaging: Image Processing
This paper presents the results of applying the modified deterministic annealing (DA) algorithm to simulated and clinical magnetic resonance (MR) brain data with multiple sclerosis (MS) lesions. Modified deterministic annealing algorithm is a very ef
Autor:
Sunanda Mitra, Zhanyu Ge
Publikováno v:
Medical Imaging: Image Processing
This paper presents the results of applying the deterministic annealing (DA) algorithm to simulated magnetic resonance image segmentation. The applicability of this methodology for 3-D segmentation has been rigorously tested by using the simulated MR