Automated discovery of meniscal tears on MR imaging: a novel high-performance computer-aided detection application for radiologists

2008 ◽  
Author(s):  
Bharath Ramakrishna ◽  
Nabile Safdar ◽  
Khan Siddiqui ◽  
Woojin Kim ◽  
Weimin Liu ◽  
...  
Keyword(s):  
Mr Imaging ◽  
High Performance ◽  
Computer Aided Detection ◽  
Meniscal Tears ◽  
Computer Aided ◽  
High Performance Computer ◽  
Automated Discovery

scholarly journals Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0178265 ◽  
Author(s):  
Leonard Sunwoo ◽  
Young Jae Kim ◽  
Seung Hong Choi ◽  
Kwang-Gi Kim ◽  
Ji Hee Kang ◽  
...  
Keyword(s):  
Brain Metastasis ◽  
Mr Imaging ◽  
Observer Performance ◽  
Computer Aided Detection ◽  
Performance Study ◽  
Computer Aided ◽  
3D Mr Imaging

An Automatic Computer-Aided Detection System for Meniscal Tears on Magnetic Resonance Images

2009 ◽  
Vol 28 (8) ◽  
pp. 1308-1316 ◽  
Author(s):  
B. Ramakrishna ◽  
Weimin Liu ◽  
G. Saiprasad ◽  
N. Safdar ◽  
Chein-I Chang ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Detection System ◽  
Magnetic Resonance Images ◽  
Computer Aided Detection ◽  
Meniscal Tears ◽  
Automatic Computer ◽  
Computer Aided

scholarly journals Radiomics & Radiology: A Critical Step towards Integrated Healthcare

2020 ◽  
Vol 8 (2) ◽  
pp. 23-30
Author(s):  
Mayur Pankhania ◽  
Aditya Mehta
Keyword(s):  
Paradigm Shift ◽  
High Performance ◽  
Swot Analysis ◽  
Great Promise ◽  
Computer Aided Detection ◽  
Integrated Healthcare ◽  
Higher Dimensional ◽  
Computer Aided ◽  
Technical Issues ◽  
Aided Diagnosis

Radiomics have shown great promise for integrated healthcare. Radiomics is defined as high-performance retrieval of significant volumes of characteristics from images and conversion of images to higher-dimensional data and subsequently mining for improved support for therapeutic judgements. It has its roots within Computer-Aided Detection (CAD)or Computer-Aided Diagnosis (CADx); it is unique in many aspects. It does not just detect and diagnose but also ventures into therapeutic, prediction, projection and modelling that can be used to generalize and reproduced. It has great potential in creating a paradigm shift in the way healthcare is delivered and perceived. We will review and outline the stage of radiomics& its SWOT analysis, exclusively addressing application in medical imaging and spotlighting the technical issues.

Improved 3-D reconstruction using stereo computer graphics and multiple tilt EM images

1995 ◽  
Vol 53 ◽  
pp. 630-631
Author(s):  
Lee D. Peachey ◽  
Lou Fodor ◽  
John C. Haselgrove ◽  
Stanley M. Dunn ◽  
Junqing Huang
Keyword(s):  
Computer Graphics ◽  
High Performance ◽  
Transverse Section ◽  
Three Dimensional ◽  
Stereo Pair ◽  
3D Reconstructions ◽  
Video Cameras ◽  
Biological Objects ◽  
Microscope Images ◽  
High Performance Computer

Stereo pairs of electron microscope images provide valuable visual impressions of the three-dimensional nature of specimens, including biological objects. Beyond this one seeks quantitatively accurate models and measurements of the three dimensional positions and sizes of structures in the specimen. In our laboratory, we have sought to combine high resolution video cameras with high performance computer graphics systems to improve both the ease of building 3D reconstructions and the accuracy of 3D measurements, by using multiple tilt images of the same specimen tilted over a wider range of angles than can be viewed stereoscopically. Ultimately we also wish to automate the reconstruction and measurement process, and have initiated work in that direction.Figure 1 is a stereo pair of 400 kV images from a 1 micrometer thick transverse section of frog skeletal muscle stained with the Golgi stain. This stain selectively increases the density of the transverse tubular network in these muscle cells, and it is this network that we reconstruct in this example.

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