Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging

Dario Turco; Stefano Severi; Renzo Mignani; Riccardo Magistroni; Cristiana Corsi

doi:10.1109/EMBC.2015.7319043

Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging

Dario Turco, Stefano Severi, Renzo Mignani, Riccardo Magistroni, Cristiana Corsi

IRCCS Ospedale San Raffaele

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Total renal volume (TRV) is an important quantitative indicator of the progression of autosomal dominant polycystic kidney disease (ADPKD). The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease proposes a method for TRV computation based on manual tracing and geometric modeling. We developed a fast and nearly-automated technique for kidney segmentation and automatically compute TRV. In this study we aim to compare TRV estimates derived from these two different approaches. The highly-automated technique for the analysis of MR images was tested on 30 ADPKD patients. TRV was computed from both axial and coronal acquisitions, and compared to measurements based on geometric modeling by linear regression and Bland Altman analysis. In addition, to assess reproducibility, intra-observer and inter-observer variabilities were computed. The results of this study provide the feasibility of using a nearly-automated approach for accurate and fast evaluation of TRV also in markedly enlarged ADPKD kidneys.

Original language	English
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3081-3084
Number of pages	4
Volume	2015-November
ISBN (Print)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7319043
Publication status	Published - Nov 4 2015
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: Aug 25 2015 → Aug 29 2015

Other

Other	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	8/25/15 → 8/29/15

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

Access to Document

10.1109/EMBC.2015.7319043

Cite this

Turco, D., Severi, S., Mignani, R., Magistroni, R., & Corsi, C. (2015). Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vol. 2015-November, pp. 3081-3084). [7319043] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319043

Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging. / Turco, Dario; Severi, Stefano; Mignani, Renzo; Magistroni, Riccardo; Corsi, Cristiana.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 3081-3084 7319043.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Turco, D, Severi, S, Mignani, R, Magistroni, R & Corsi, C 2015, Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. vol. 2015-November, 7319043, Institute of Electrical and Electronics Engineers Inc., pp. 3081-3084, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 8/25/15. https://doi.org/10.1109/EMBC.2015.7319043

Turco D, Severi S, Mignani R, Magistroni R, Corsi C. Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 3081-3084. 7319043 https://doi.org/10.1109/EMBC.2015.7319043

Turco, Dario ; Severi, Stefano ; Mignani, Renzo ; Magistroni, Riccardo ; Corsi, Cristiana. / Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. pp. 3081-3084

@inproceedings{91df562500f34c25adac8ad2ab0eb81d,

title = "Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging",

abstract = "Total renal volume (TRV) is an important quantitative indicator of the progression of autosomal dominant polycystic kidney disease (ADPKD). The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease proposes a method for TRV computation based on manual tracing and geometric modeling. We developed a fast and nearly-automated technique for kidney segmentation and automatically compute TRV. In this study we aim to compare TRV estimates derived from these two different approaches. The highly-automated technique for the analysis of MR images was tested on 30 ADPKD patients. TRV was computed from both axial and coronal acquisitions, and compared to measurements based on geometric modeling by linear regression and Bland Altman analysis. In addition, to assess reproducibility, intra-observer and inter-observer variabilities were computed. The results of this study provide the feasibility of using a nearly-automated approach for accurate and fast evaluation of TRV also in markedly enlarged ADPKD kidneys.",

author = "Dario Turco and Stefano Severi and Renzo Mignani and Riccardo Magistroni and Cristiana Corsi",

year = "2015",

month = nov,

day = "4",

doi = "10.1109/EMBC.2015.7319043",

language = "English",

isbn = "9781424492718",

volume = "2015-November",

pages = "3081--3084",

booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",

}

TY - GEN

T1 - Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging

AU - Turco, Dario

AU - Severi, Stefano

AU - Mignani, Renzo

AU - Magistroni, Riccardo

AU - Corsi, Cristiana

PY - 2015/11/4

Y1 - 2015/11/4

N2 - Total renal volume (TRV) is an important quantitative indicator of the progression of autosomal dominant polycystic kidney disease (ADPKD). The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease proposes a method for TRV computation based on manual tracing and geometric modeling. We developed a fast and nearly-automated technique for kidney segmentation and automatically compute TRV. In this study we aim to compare TRV estimates derived from these two different approaches. The highly-automated technique for the analysis of MR images was tested on 30 ADPKD patients. TRV was computed from both axial and coronal acquisitions, and compared to measurements based on geometric modeling by linear regression and Bland Altman analysis. In addition, to assess reproducibility, intra-observer and inter-observer variabilities were computed. The results of this study provide the feasibility of using a nearly-automated approach for accurate and fast evaluation of TRV also in markedly enlarged ADPKD kidneys.

AB - Total renal volume (TRV) is an important quantitative indicator of the progression of autosomal dominant polycystic kidney disease (ADPKD). The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease proposes a method for TRV computation based on manual tracing and geometric modeling. We developed a fast and nearly-automated technique for kidney segmentation and automatically compute TRV. In this study we aim to compare TRV estimates derived from these two different approaches. The highly-automated technique for the analysis of MR images was tested on 30 ADPKD patients. TRV was computed from both axial and coronal acquisitions, and compared to measurements based on geometric modeling by linear regression and Bland Altman analysis. In addition, to assess reproducibility, intra-observer and inter-observer variabilities were computed. The results of this study provide the feasibility of using a nearly-automated approach for accurate and fast evaluation of TRV also in markedly enlarged ADPKD kidneys.

UR - http://www.scopus.com/inward/record.url?scp=84953296489&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84953296489&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2015.7319043

DO - 10.1109/EMBC.2015.7319043

M3 - Conference contribution

AN - SCOPUS:84953296489

SN - 9781424492718

VL - 2015-November

SP - 3081

EP - 3084

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

Y2 - 25 August 2015 through 29 August 2015

ER -

Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this