Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms

Christos Davatzikos; Dengfeng Liu; Dinggang Shen; Edward H. Herskovits

doi:10.1148/radiol.2243011266

Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms

Christos Davatzikos, Dengfeng Liu, Dinggang Shen, Edward H. Herskovits

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotaxic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms.

Original language	English
Pages (from-to)	919-926
Number of pages	8
Journal	Radiology
Volume	224
Issue number	3
DOIs	https://doi.org/10.1148/radiol.2243011266
Publication status	Published - 2002 Sept
Externally published	Yes

Keywords

Computers, diagnostic aid
Model, mathematical
Spine
Stereotaxis

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

Access to Document

10.1148/radiol.2243011266

Cite this

@article{1c5d18ff3663447794e657c5c3d0f5dd,

title = "Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms",

abstract = "An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotaxic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms.",

keywords = "Computers, diagnostic aid, Model, mathematical, Spine, Stereotaxis",

author = "Christos Davatzikos and Dengfeng Liu and Dinggang Shen and Herskovits, {Edward H.}",

year = "2002",

month = sep,

doi = "10.1148/radiol.2243011266",

language = "English",

volume = "224",

pages = "919--926",

journal = "Radiology",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

number = "3",

}

TY - JOUR

T1 - Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms

AU - Davatzikos, Christos

AU - Liu, Dengfeng

AU - Shen, Dinggang

AU - Herskovits, Edward H.

PY - 2002/9

Y1 - 2002/9

N2 - An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotaxic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms.

AB - An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotaxic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms.

KW - Computers, diagnostic aid

KW - Model, mathematical

KW - Spine

KW - Stereotaxis

UR - http://www.scopus.com/inward/record.url?scp=0036721188&partnerID=8YFLogxK

U2 - 10.1148/radiol.2243011266

DO - 10.1148/radiol.2243011266

M3 - Article

C2 - 12202733

AN - SCOPUS:0036721188

SN - 0033-8419

VL - 224

SP - 919

EP - 926

JO - Radiology

JF - Radiology

IS - 3

ER -

Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this