Unbiased Estimation of the Eyeball Volume Using the Cavalieri Principle on Computed Tomography Images

2009 ◽  
Vol 20 (1) ◽  
pp. 233-237 ◽  
Author(s):  
Niyazi Acer ◽  
Bunyamin Sahin ◽  
Tolga Ucar ◽  
Mustafa Usanmaz
Keyword(s):  
Computed Tomography ◽  
Unbiased Estimation ◽  
Cavalieri Principle ◽  
Computed Tomography Images

Unbiased estimation of the calcaneus volume using the Cavalieri principle on computed tomography images

2008 ◽  
Vol 190 (5) ◽  
pp. 452-460 ◽  
Author(s):  
N. Acer ◽  
B. Bayar ◽  
H. Basaloglu ◽  
E. Öner ◽  
K. Bayar ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Unbiased Estimation ◽  
Cavalieri Principle ◽  
Computed Tomography Images

scholarly journals The estimation of bone cyst volume using the Cavalieri principle on computed tomography images

2018 ◽  
Vol 26 (2) ◽  
pp. 230949901877237 ◽  
Author(s):  
Ferhat Say ◽  
Murat Gölpınar ◽  
Cem Yalın Kılınç ◽  
Bünyamin Şahin
Keyword(s):  
Computed Tomography ◽  
Bone Cyst ◽  
Volume Measurement ◽  
Complete Healing ◽  
High Agreement ◽  
Cavalieri Principle ◽  
Cyst Volume ◽  
Computed Tomography Images ◽  
Cyst Recurrence ◽  
The Mean

Purpose: To evaluate the volume of bone cyst using the planimetry method of the Cavalieri principle. Methods: A retrospective analysis was carried out on data from 25 computed tomography (CT) images of patients with bone cyst. The volume of the cysts was calculated by two independent observers using the planimetry method. The procedures were repeated 1 month later by each observer. Results: The overall mean volume of the bone cyst was 29.25 ± 25.86 cm3. The mean bone cyst volumes calculated by the first observer for the first and second sessions were 29.18 ± 26.14 and 29.27 ± 26.19 cm3, respectively. The mean bone cyst volumes calculated by the second observer for the first and second sessions were 29.32 ± 26.36 and 29.23 ± 26.36 cm3, respectively. Statistical analysis showed no difference and high agreement between the first and second measurements of both observers. The Bland–Altman plots showed strong intraobserver and interobserver concordance in the measurement of the bone cyst volume. The mean total time necessary to obtain the cyst volume by the two observers was 5.27 ± 2.30 min. Conclusion: The bone cyst of the patients can be objectively evaluated using the planimetry method of the Cavalieri principle on CT. This method showed high interobserver and intraobserver agreement. This volume measurement can be used to evaluate cyst remodeling, including complete healing and cyst recurrence.

Rapid estimation of the vertebral body volume: a combination of the Cavalieri principle and computed tomography images

2003 ◽  
Vol 48 (3) ◽  
pp. 316-326 ◽  
Author(s):  
Ersan Odaci ◽  
Bünyamin Sahin ◽  
Osman Fikret Sonmez ◽  
Süleyman Kaplan ◽  
Orhan Bas ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Vertebral Body ◽  
Body Volume ◽  
Rapid Estimation ◽  
Cavalieri Principle ◽  
Computed Tomography Images

A new approach for the estimation of intervertebral disc volume using the Cavalieri principle and computed tomography images

2005 ◽  
Vol 107 (4) ◽  
pp. 282-288 ◽  
Author(s):  
Sait Bilgic ◽  
Bunyamin Sahin ◽  
Osman Fikret Sonmez ◽  
Ersan Odaci ◽  
Serdar Colakoglu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Intervertebral Disc ◽  
New Approach ◽  
Cavalieri Principle ◽  
Computed Tomography Images

The effects of section thickness on the estimation of liver volume by the Cavalieri principle using computed tomography images

2005 ◽  
Vol 56 (3) ◽  
pp. 391-397 ◽  
Author(s):  
Mehmet Emirzeoglu ◽  
Bunyamin Sahin ◽  
Mustafa B. Selcuk ◽  
Suleyman Kaplan
Keyword(s):  
Computed Tomography ◽  
Liver Volume ◽  
Section Thickness ◽  
Cavalieri Principle ◽  
Computed Tomography Images

An Optimization of System for Automatic Recognition of Ischemic Stroke Areas in Computed Tomography Images

Informatica ◽  
2007 ◽  
Vol 18 (4) ◽  
pp. 603-614
Author(s):  
Darius Grigaitis ◽  
Vaida Bartkutė ◽  
Leonidas Sakalauskas
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Automatic Recognition ◽  
Computed Tomography Images
Sign in / Sign up

Export Citation Format

Share Document