Identification of left pulmonary vein ostia using centerline tracking

M. E. Rettmann, David R. Holmes III, Douglas L Packer, R. A. Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

With the increasing popularity of cardiac ablation therapy, studies of the procedural effects on left atrial and pulmonary vein morphology are becoming more important. Of particular interest is evaluation of atrial and pulmonary vein remodeling following ablation therapy using structural imaging. One challenge that arises when comparing pulmonary vein morphology across subjects is defining the ostial location. Strategies for defining this important anatomical location include volume renderings from multiple angles, or drawing lines in cross-sectional images. Drawbacks of these techniques include subjectivity between raters as well as limited use of three dimensional volumetric information. In this work, we describe a method for automatically identifying the pulmonary vein ostia from CT images using a single user-selected seedpoint. The technique makes use of the full three-dimensional volumetric information, by computing a centerline along each pulmonary vein and defining the ostium using oblique cross-sectional image planes along the curve axis. The ostium is defined as the point at which there is a spike in the oblique cross-sectional area. The method is demonstrated on each of the four pulmonary veins in four patient datasets, for a total of sixteen applications of the algorithm. The results are compared against manual delineations of the pulmonary vein ostia, with overall mean distances ranging from approximately 1.5 to 5.0 mm. In conclusion, although the pulmonary veins exhibit variable anatomic shapes and orientations across different patient datasets, our proposed automated method produces results comparable to manual delineation of the ostia.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7262
DOIs
StatePublished - 2009
EventMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 10 2009

Other

OtherMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/8/092/10/09

Fingerprint

Pulmonary Veins
Ablation
veins
Volume rendering
Imaging techniques
delineation
ablation
therapy
spikes
evaluation
curves
Therapeutics

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Rettmann, M. E., Holmes III, D. R., Packer, D. L., & Robb, R. A. (2009). Identification of left pulmonary vein ostia using centerline tracking. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7262). [726228] https://doi.org/10.1117/12.813450

Identification of left pulmonary vein ostia using centerline tracking. / Rettmann, M. E.; Holmes III, David R.; Packer, Douglas L; Robb, R. A.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7262 2009. 726228.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rettmann, ME, Holmes III, DR, Packer, DL & Robb, RA 2009, Identification of left pulmonary vein ostia using centerline tracking. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7262, 726228, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, Lake Buena Vista, FL, United States, 2/8/09. https://doi.org/10.1117/12.813450
Rettmann ME, Holmes III DR, Packer DL, Robb RA. Identification of left pulmonary vein ostia using centerline tracking. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7262. 2009. 726228 https://doi.org/10.1117/12.813450
Rettmann, M. E. ; Holmes III, David R. ; Packer, Douglas L ; Robb, R. A. / Identification of left pulmonary vein ostia using centerline tracking. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7262 2009.
@inproceedings{51c6ff0ff8eb4e85b212463a90edd748,
title = "Identification of left pulmonary vein ostia using centerline tracking",
abstract = "With the increasing popularity of cardiac ablation therapy, studies of the procedural effects on left atrial and pulmonary vein morphology are becoming more important. Of particular interest is evaluation of atrial and pulmonary vein remodeling following ablation therapy using structural imaging. One challenge that arises when comparing pulmonary vein morphology across subjects is defining the ostial location. Strategies for defining this important anatomical location include volume renderings from multiple angles, or drawing lines in cross-sectional images. Drawbacks of these techniques include subjectivity between raters as well as limited use of three dimensional volumetric information. In this work, we describe a method for automatically identifying the pulmonary vein ostia from CT images using a single user-selected seedpoint. The technique makes use of the full three-dimensional volumetric information, by computing a centerline along each pulmonary vein and defining the ostium using oblique cross-sectional image planes along the curve axis. The ostium is defined as the point at which there is a spike in the oblique cross-sectional area. The method is demonstrated on each of the four pulmonary veins in four patient datasets, for a total of sixteen applications of the algorithm. The results are compared against manual delineations of the pulmonary vein ostia, with overall mean distances ranging from approximately 1.5 to 5.0 mm. In conclusion, although the pulmonary veins exhibit variable anatomic shapes and orientations across different patient datasets, our proposed automated method produces results comparable to manual delineation of the ostia.",
author = "Rettmann, {M. E.} and {Holmes III}, {David R.} and Packer, {Douglas L} and Robb, {R. A.}",
year = "2009",
doi = "10.1117/12.813450",
language = "English (US)",
isbn = "9780819475138",
volume = "7262",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - Identification of left pulmonary vein ostia using centerline tracking

AU - Rettmann, M. E.

AU - Holmes III, David R.

AU - Packer, Douglas L

AU - Robb, R. A.

PY - 2009

Y1 - 2009

N2 - With the increasing popularity of cardiac ablation therapy, studies of the procedural effects on left atrial and pulmonary vein morphology are becoming more important. Of particular interest is evaluation of atrial and pulmonary vein remodeling following ablation therapy using structural imaging. One challenge that arises when comparing pulmonary vein morphology across subjects is defining the ostial location. Strategies for defining this important anatomical location include volume renderings from multiple angles, or drawing lines in cross-sectional images. Drawbacks of these techniques include subjectivity between raters as well as limited use of three dimensional volumetric information. In this work, we describe a method for automatically identifying the pulmonary vein ostia from CT images using a single user-selected seedpoint. The technique makes use of the full three-dimensional volumetric information, by computing a centerline along each pulmonary vein and defining the ostium using oblique cross-sectional image planes along the curve axis. The ostium is defined as the point at which there is a spike in the oblique cross-sectional area. The method is demonstrated on each of the four pulmonary veins in four patient datasets, for a total of sixteen applications of the algorithm. The results are compared against manual delineations of the pulmonary vein ostia, with overall mean distances ranging from approximately 1.5 to 5.0 mm. In conclusion, although the pulmonary veins exhibit variable anatomic shapes and orientations across different patient datasets, our proposed automated method produces results comparable to manual delineation of the ostia.

AB - With the increasing popularity of cardiac ablation therapy, studies of the procedural effects on left atrial and pulmonary vein morphology are becoming more important. Of particular interest is evaluation of atrial and pulmonary vein remodeling following ablation therapy using structural imaging. One challenge that arises when comparing pulmonary vein morphology across subjects is defining the ostial location. Strategies for defining this important anatomical location include volume renderings from multiple angles, or drawing lines in cross-sectional images. Drawbacks of these techniques include subjectivity between raters as well as limited use of three dimensional volumetric information. In this work, we describe a method for automatically identifying the pulmonary vein ostia from CT images using a single user-selected seedpoint. The technique makes use of the full three-dimensional volumetric information, by computing a centerline along each pulmonary vein and defining the ostium using oblique cross-sectional image planes along the curve axis. The ostium is defined as the point at which there is a spike in the oblique cross-sectional area. The method is demonstrated on each of the four pulmonary veins in four patient datasets, for a total of sixteen applications of the algorithm. The results are compared against manual delineations of the pulmonary vein ostia, with overall mean distances ranging from approximately 1.5 to 5.0 mm. In conclusion, although the pulmonary veins exhibit variable anatomic shapes and orientations across different patient datasets, our proposed automated method produces results comparable to manual delineation of the ostia.

UR - http://www.scopus.com/inward/record.url?scp=67249139890&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67249139890&partnerID=8YFLogxK

U2 - 10.1117/12.813450

DO - 10.1117/12.813450

M3 - Conference contribution

AN - SCOPUS:67249139890

SN - 9780819475138

VL - 7262

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -