Literature DB >> 6602820

A computerized system for the elastic matching of deformed radiographic images to idealized atlas images.

R Bajcsy, R Lieberson, M Reivich.   

Abstract

A system of computer programs is described which, for the first time, is able to use computerized tomographic data to automatically locate, measure, and describe anatomical structures of interest with accuracy and consistency. Input to the system consists of any digitized radiographic data. Computer assisted tomographic (CAT) scans of the head were used in this first implementation. Using these data and a predefined atlas picture representing an idealized view of the average normal image, an individualized atlas was created. From the individualized atlas, structure size, density, location displacement, and distortion may be calculated. The individualized atlas created using high resolution data, such as the CAT scan, may then be directly superimposed on pictures obtained using lower resolution modalities, such as positron emission tomographic scan images. This allows the precise location of structures poorly visualized by the secondary imaging modality. This system is capable of using either two- or three-dimensional data.

Mesh:

Year:  1983        PMID: 6602820     DOI: 10.1097/00004728-198308000-00008

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  38 in total

1.  Implementation and application of a brain template for multiple volumes of interest.

Authors:  Alexander Hammers; Matthias J Koepp; Samantha L Free; Matthew Brett; Mark P Richardson; Claire Labbé; Vincent J Cunningham; David J Brooks; John Duncan
Journal:  Hum Brain Mapp       Date:  2002-03       Impact factor: 5.038

2.  Cortical surface registration for image-guided neurosurgery using laser-range scanning.

Authors:  Michael I Miga; Tuhin K Sinha; David M Cash; Robert L Galloway; Robert J Weil
Journal:  IEEE Trans Med Imaging       Date:  2003-08       Impact factor: 10.048

3.  DICCCOL: dense individualized and common connectivity-based cortical landmarks.

Authors:  Dajiang Zhu; Kaiming Li; Lei Guo; Xi Jiang; Tuo Zhang; Degang Zhang; Hanbo Chen; Fan Deng; Carlos Faraco; Changfeng Jin; Chong-Yaw Wee; Yixuan Yuan; Peili Lv; Yan Yin; Xiaolei Hu; Lian Duan; Xintao Hu; Junwei Han; Lihong Wang; Dinggang Shen; L Stephen Miller; Lingjiang Li; Tianming Liu
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

4.  GRAM: A framework for geodesic registration on anatomical manifolds.

Authors:  Jihun Hamm; Dong Hye Ye; Ragini Verma; Christos Davatzikos
Journal:  Med Image Anal       Date:  2010-06-08       Impact factor: 8.545

5.  Construction of a 3D probabilistic atlas of human cortical structures.

Authors:  David W Shattuck; Mubeena Mirza; Vitria Adisetiyo; Cornelius Hojatkashani; Georges Salamon; Katherine L Narr; Russell A Poldrack; Robert M Bilder; Arthur W Toga
Journal:  Neuroimage       Date:  2007-11-26       Impact factor: 6.556

6.  Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia.

Authors:  Anqi Qiu; Laurent Younes; Lei Wang; J Tilak Ratnanather; Sarah K Gillepsie; Gillian Kaplan; John Csernansky; Michael I Miller
Journal:  Neuroimage       Date:  2007-05-18       Impact factor: 6.556

7.  Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes.

Authors:  Anqi Qiu; Marilyn Albert; Laurent Younes; Michael I Miller
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

8.  Robust brain registration using adaptive probabilistic atlas.

Authors:  Jaime Ide; Rong Chen; Dinggang Shen; Edward H Herskovits
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

9.  Performing label-fusion-based segmentation using multiple automatically generated templates.

Authors:  M Mallar Chakravarty; Patrick Steadman; Matthijs C van Eede; Rebecca D Calcott; Victoria Gu; Philip Shaw; Armin Raznahan; D Louis Collins; Jason P Lerch
Journal:  Hum Brain Mapp       Date:  2012-05-19       Impact factor: 5.038

10.  Local label learning (LLL) for subcortical structure segmentation: application to hippocampus segmentation.

Authors:  Yongfu Hao; Tianyao Wang; Xinqing Zhang; Yunyun Duan; Chunshui Yu; Tianzi Jiang; Yong Fan
Journal:  Hum Brain Mapp       Date:  2013-10-23       Impact factor: 5.038

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