Statistics-based approach for aneurysm volume measurements

Prashanthi D Vemuri, Eugene G. Kholmovski, K. Craig Goodrich, Ling Zhang, Jay S. Tsuruda, Dennis L. Parker

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Purpose: To evaluate the ability of high-resolution MRA to monitor changes in intracranial aneurysm volume, and devise a highly reliable technique for obtaining these measurements. Materials and Methods: To obtain a baseline estimate of the repeatability of MRA scans and validate the statistics-based technique for aneurysm volume measurement, multiple scans were obtained on individual subjects over a period of up to 1 year. These 3D MRA data sets were coregistered and then analyzed using the volumetric analysis of segmented data and the proposed statistical method. Results: It was shown that high-resolution MRA provides highly repeatable data sets. Both methods used for the aneurysm volume measurements showed consistent results. However, the proposed statistical method had lower error and was much less sensitive to the choice of segmentation parameter than the volumetric analysis of segmented data. A change of 1 mm in the average radius of the aneurysm was detectable with the statistics-based technique. Conclusions: This study demonstrates that the statistical method of aneurysm volume measurement in high-resolution MRA allows reliable and accurate assessments of aneurysm volume changes.

Original languageEnglish (US)
Pages (from-to)340-346
Number of pages7
JournalJournal of Magnetic Resonance Imaging
Volume20
Issue number2
DOIs
StatePublished - Aug 2004
Externally publishedYes

Fingerprint

Aneurysm
Intracranial Aneurysm
Datasets

Keywords

  • Aneurysm
  • Magnetic resonance angiography (MRA)
  • Probability density function
  • Repeatability
  • Volume measurement

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Vemuri, P. D., Kholmovski, E. G., Goodrich, K. C., Zhang, L., Tsuruda, J. S., & Parker, D. L. (2004). Statistics-based approach for aneurysm volume measurements. Journal of Magnetic Resonance Imaging, 20(2), 340-346. https://doi.org/10.1002/jmri.20108

Statistics-based approach for aneurysm volume measurements. / Vemuri, Prashanthi D; Kholmovski, Eugene G.; Goodrich, K. Craig; Zhang, Ling; Tsuruda, Jay S.; Parker, Dennis L.

In: Journal of Magnetic Resonance Imaging, Vol. 20, No. 2, 08.2004, p. 340-346.

Research output: Contribution to journalArticle

Vemuri, PD, Kholmovski, EG, Goodrich, KC, Zhang, L, Tsuruda, JS & Parker, DL 2004, 'Statistics-based approach for aneurysm volume measurements', Journal of Magnetic Resonance Imaging, vol. 20, no. 2, pp. 340-346. https://doi.org/10.1002/jmri.20108
Vemuri, Prashanthi D ; Kholmovski, Eugene G. ; Goodrich, K. Craig ; Zhang, Ling ; Tsuruda, Jay S. ; Parker, Dennis L. / Statistics-based approach for aneurysm volume measurements. In: Journal of Magnetic Resonance Imaging. 2004 ; Vol. 20, No. 2. pp. 340-346.
@article{dd4970d95c504964b28cf8403381acf2,
title = "Statistics-based approach for aneurysm volume measurements",
abstract = "Purpose: To evaluate the ability of high-resolution MRA to monitor changes in intracranial aneurysm volume, and devise a highly reliable technique for obtaining these measurements. Materials and Methods: To obtain a baseline estimate of the repeatability of MRA scans and validate the statistics-based technique for aneurysm volume measurement, multiple scans were obtained on individual subjects over a period of up to 1 year. These 3D MRA data sets were coregistered and then analyzed using the volumetric analysis of segmented data and the proposed statistical method. Results: It was shown that high-resolution MRA provides highly repeatable data sets. Both methods used for the aneurysm volume measurements showed consistent results. However, the proposed statistical method had lower error and was much less sensitive to the choice of segmentation parameter than the volumetric analysis of segmented data. A change of 1 mm in the average radius of the aneurysm was detectable with the statistics-based technique. Conclusions: This study demonstrates that the statistical method of aneurysm volume measurement in high-resolution MRA allows reliable and accurate assessments of aneurysm volume changes.",
keywords = "Aneurysm, Magnetic resonance angiography (MRA), Probability density function, Repeatability, Volume measurement",
author = "Vemuri, {Prashanthi D} and Kholmovski, {Eugene G.} and Goodrich, {K. Craig} and Ling Zhang and Tsuruda, {Jay S.} and Parker, {Dennis L.}",
year = "2004",
month = "8",
doi = "10.1002/jmri.20108",
language = "English (US)",
volume = "20",
pages = "340--346",
journal = "Journal of Magnetic Resonance Imaging",
issn = "1053-1807",
publisher = "John Wiley and Sons Inc.",
number = "2",

}

TY - JOUR

T1 - Statistics-based approach for aneurysm volume measurements

AU - Vemuri, Prashanthi D

AU - Kholmovski, Eugene G.

AU - Goodrich, K. Craig

AU - Zhang, Ling

AU - Tsuruda, Jay S.

AU - Parker, Dennis L.

PY - 2004/8

Y1 - 2004/8

N2 - Purpose: To evaluate the ability of high-resolution MRA to monitor changes in intracranial aneurysm volume, and devise a highly reliable technique for obtaining these measurements. Materials and Methods: To obtain a baseline estimate of the repeatability of MRA scans and validate the statistics-based technique for aneurysm volume measurement, multiple scans were obtained on individual subjects over a period of up to 1 year. These 3D MRA data sets were coregistered and then analyzed using the volumetric analysis of segmented data and the proposed statistical method. Results: It was shown that high-resolution MRA provides highly repeatable data sets. Both methods used for the aneurysm volume measurements showed consistent results. However, the proposed statistical method had lower error and was much less sensitive to the choice of segmentation parameter than the volumetric analysis of segmented data. A change of 1 mm in the average radius of the aneurysm was detectable with the statistics-based technique. Conclusions: This study demonstrates that the statistical method of aneurysm volume measurement in high-resolution MRA allows reliable and accurate assessments of aneurysm volume changes.

AB - Purpose: To evaluate the ability of high-resolution MRA to monitor changes in intracranial aneurysm volume, and devise a highly reliable technique for obtaining these measurements. Materials and Methods: To obtain a baseline estimate of the repeatability of MRA scans and validate the statistics-based technique for aneurysm volume measurement, multiple scans were obtained on individual subjects over a period of up to 1 year. These 3D MRA data sets were coregistered and then analyzed using the volumetric analysis of segmented data and the proposed statistical method. Results: It was shown that high-resolution MRA provides highly repeatable data sets. Both methods used for the aneurysm volume measurements showed consistent results. However, the proposed statistical method had lower error and was much less sensitive to the choice of segmentation parameter than the volumetric analysis of segmented data. A change of 1 mm in the average radius of the aneurysm was detectable with the statistics-based technique. Conclusions: This study demonstrates that the statistical method of aneurysm volume measurement in high-resolution MRA allows reliable and accurate assessments of aneurysm volume changes.

KW - Aneurysm

KW - Magnetic resonance angiography (MRA)

KW - Probability density function

KW - Repeatability

KW - Volume measurement

UR - http://www.scopus.com/inward/record.url?scp=3242815311&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=3242815311&partnerID=8YFLogxK

U2 - 10.1002/jmri.20108

DO - 10.1002/jmri.20108

M3 - Article

C2 - 15269964

AN - SCOPUS:3242815311

VL - 20

SP - 340

EP - 346

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

SN - 1053-1807

IS - 2

ER -