Brachytherapy seed localization from fluoroscopic images using a statistical classifier

Yi Su; Brian J. Davis; Michael G. Herman; Wayne N. LaJoie; Richard A. Robb

doi:10.1007/978-3-540-39903-2_115

Brachytherapy seed localization from fluoroscopic images using a statistical classifier

Yi Su, Brian J. Davis, Michael G. Herman, Wayne N. LaJoie, Richard A. Robb

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

A method to determine the number and location of seed images in clusters on a fluoroscopic image was developed based on a statistical analysis of cluster size in simulated fluoroscopic images. A modified 3-film technique was used to reconstruct the 3D positions of seeds from their image locations. Preliminary results suggest that this new method can identify all the seeds and localize them to an average precision of 0.55 mm. This is an important step toward intraoperative radiation dose analysis.

Original language	English (US)
Pages (from-to)	945-946
Number of pages	2
Journal	Lecture Notes in Computer Science
Volume	2879
Issue number	PART 2
DOIs	https://doi.org/10.1007/978-3-540-39903-2_115
State	Published - 2003
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada Duration: Nov 15 2003 → Nov 18 2003

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-39903-2_115

Cite this

@article{f7e2f7075a7f46ecb1f871af04cd0d1d,

title = "Brachytherapy seed localization from fluoroscopic images using a statistical classifier",

abstract = "A method to determine the number and location of seed images in clusters on a fluoroscopic image was developed based on a statistical analysis of cluster size in simulated fluoroscopic images. A modified 3-film technique was used to reconstruct the 3D positions of seeds from their image locations. Preliminary results suggest that this new method can identify all the seeds and localize them to an average precision of 0.55 mm. This is an important step toward intraoperative radiation dose analysis.",

author = "Yi Su and Davis, {Brian J.} and Herman, {Michael G.} and LaJoie, {Wayne N.} and Robb, {Richard A.}",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings ; Conference date: 15-11-2003 Through 18-11-2003",

year = "2003",

doi = "10.1007/978-3-540-39903-2_115",

language = "English (US)",

volume = "2879",

pages = "945--946",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Verlag",

number = "PART 2",

}

TY - JOUR

T1 - Brachytherapy seed localization from fluoroscopic images using a statistical classifier

AU - Su, Yi

AU - Davis, Brian J.

AU - Herman, Michael G.

AU - LaJoie, Wayne N.

AU - Robb, Richard A.

PY - 2003

Y1 - 2003

N2 - A method to determine the number and location of seed images in clusters on a fluoroscopic image was developed based on a statistical analysis of cluster size in simulated fluoroscopic images. A modified 3-film technique was used to reconstruct the 3D positions of seeds from their image locations. Preliminary results suggest that this new method can identify all the seeds and localize them to an average precision of 0.55 mm. This is an important step toward intraoperative radiation dose analysis.

AB - A method to determine the number and location of seed images in clusters on a fluoroscopic image was developed based on a statistical analysis of cluster size in simulated fluoroscopic images. A modified 3-film technique was used to reconstruct the 3D positions of seeds from their image locations. Preliminary results suggest that this new method can identify all the seeds and localize them to an average precision of 0.55 mm. This is an important step toward intraoperative radiation dose analysis.

UR - http://www.scopus.com/inward/record.url?scp=11244312884&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11244312884&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-39903-2_115

DO - 10.1007/978-3-540-39903-2_115

M3 - Conference article

AN - SCOPUS:11244312884

SN - 0302-9743

VL - 2879

SP - 945

EP - 946

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART 2

T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings

Y2 - 15 November 2003 through 18 November 2003

ER -

Brachytherapy seed localization from fluoroscopic images using a statistical classifier

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this