Tri-Axial Ellipsoid Volume Calculation: A Method for Bladder Volume Estimation

2013 ◽  
Vol 44 (1) ◽  
pp. 46-47 ◽  
Author(s):  
E. Chan ◽  
K. Smith ◽  
G. Mohamoud ◽  
N. Rozanec ◽  
L. Fenkell ◽  
...  
Keyword(s):  
Volume Estimation ◽  
Bladder Volume ◽  
Volume Calculation ◽  
Ellipsoid Volume

scholarly journals Volume estimations for combined free-weight and rubber-band resistance exercise

Kinesiology ◽  
2017 ◽  
Vol 49 (2) ◽  
pp. 169-177 ◽  
Author(s):  
Todd C. Shoepe ◽  
Jeanette M. Ricci
Keyword(s):  
Body Weight ◽  
Resistance Exercise ◽  
Body Height ◽  
Theoretical Method ◽  
Rubber Band ◽  
The Body ◽  
Volume Estimation ◽  
Gravitational Acceleration ◽  
Volume Calculation ◽  
Free Weight

Volume, or the total work performed during resistance training is one of the vital variables of resistance exercise programming. The most common definition in use by practitioners is sets x reps x external weight. While appropriate for linear loading incurred through free-weight resistance exercise, this inadequately addresses the nonlinear loading incurred with rubber resistance, a relatively new loading technique. The purpose of this investigation was to derive a theoretical model to describe a method of volume calculation for rubber band plus free-weight exercise. Men (n=51; age 19.5±1.6 years; body height 1.76±0.07 meters; body weight 77.3±11.3 kilograms) and women participants (n=66; age 18.9±1.1 years; body height 1.65±0.07 meters; body weight 62.8±9.1 kilograms) were measured for band lengths incurred at: squat with knee extended position, squat with flexed position, and change in band length was then calculated. Significant gender differences were seen for band length change as a percentage of body height (p<0.5) during the squat, which mandated separate volume equations (females=33.8%; males=35.3% of body height). Equations were determined for total external volume estimation in kgm=[0.338(m+2c2+(ln(h)-0.383)2c1)]/g and kgm=[0.352(m+2c2+(ln(h)-0.382)2c1)]/g for females and males, respectively, where m is the total external resistance, c2 and c1 are constants derived from rubber-band loading parameters, h is the body height of the participant, and g is gravitational acceleration. This work provides practitioners and researchers with a simple theoretical method for work estimation using participant’s body height to estimate displacement values during the squat exercise.

scholarly journals P376: Ultrasound bladder volume estimation after vaginal surgery: a pilot study

2003 ◽  
Vol 22 (S1) ◽  
pp. 171-172
Author(s):  
S. Pelckmans ◽  
T. Van den Bosch
Keyword(s):  
Pilot Study ◽  
Vaginal Surgery ◽  
Volume Estimation ◽  
Bladder Volume

scholarly journals Simple calculation using anatomical features on pre-treatment verification CT for bladder volume estimation during radiation therapy for rectal cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Nalee Kim ◽  
Hong In Yoon ◽  
Jin Sung Kim ◽  
Woong Sub Koom ◽  
Jee Suk Chang ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Cone Beam Ct ◽  
Ct Images ◽  
Volume Estimation ◽  
Bladder Volume ◽  
Cone Beam ◽  
Anatomical Features ◽  
Treatment Verification ◽  
Pre Treatment ◽  
Bladder Scanner

Abstract Background Despite detailed instruction for full bladder, patients are unable to maintain consistent bladder filling during a 5-week pelvic radiation therapy (RT) course. We investigated the best bladder volume estimation procedure for verifying consistent bladder volume. Methods We reviewed 462 patients who underwent pelvic RT. Biofeedback using a bladder scanner was conducted before simulation and during treatment. Exact bladder volume was calculated by bladder inner wall contour based on CT images (Vctsim). Bladder volume was estimated either by bladder scanner (Vscan) or anatomical features from the presacral promontory to the bladder base and dome in the sagittal plane of CT (Vratio). The feasibility of Vratio was validated using daily megavoltage or kV cone-beam CT before treatment. Results Mean Vctsim was 335.6 ± 147.5 cc. Despite a positive correlation between Vctsim and Vscan (R2 = 0.278) and between Vctsim and Vratio (R2 = 0.424), Vratio yielded more consistent results than Vscan, with a mean percentage error of 26.3 (SD 19.6, p < 0.001). The correlation between Vratio and Vctsim was stronger than that between Vscan and Vctsim (Z-score: − 7.782, p < 0.001). An accuracy of Vratio was consistent in megavoltage or kV cone-beam CT during treatment. In a representative case, we can dichotomize for clinical scenarios with or without bowel displacement, using a ratio of 0.8 resulting in significant changes in bowel volume exposed to low radiation doses. Conclusions Bladder volume estimation using personalized anatomical features based on pre-treatment verification CT images was useful and more accurate than physician-dependent bladder scanners. Trial registration Retrospectively registered.

Reservoir Volume Estimation in Exploration Phase by Monte Carlo Simulation

2013 ◽  
Vol 859 ◽  
pp. 248-252
Author(s):  
Lei Zhao ◽  
Bing Li ◽  
Peng Xiang Diwu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Civil Engineering ◽  
Resource Assessment ◽  
Monte Carlo Sampling ◽  
Volume Estimation ◽  
Volume Calculation ◽  
Reservoir Volume ◽  
Few Data ◽  
Exploration Phase

The STOIIP determines the scale of civil engineering in the oilfield, so the accurate calculation STOIIP has a very important significance on civil engineering, especially in the exploration phase few data are available in oilfield, traditional volume calculation method is hardly to provide a reasonable result. The mathematical statistics method, namely Monte Carlo simulation is introduced to calculate reservoir volumes for hydrocarbons in place (STOIIP or GIIP). This method can provide several volume results by monte carlo sampling. making the resource assessment results a probability distribution rather than a single valuation, which greatly improve the credibility and usefulness of evaluation results. The S oilfield in Malaysia are evaluated and the results show the P50 STOIIP is 4.82 MMbbl.

scholarly journals Volume calculation and analysis of the changes in moraine-dammed lakes in the north Himalaya: a case study of Longbasaba lake

2012 ◽  
Vol 58 (210) ◽  
pp. 753-760 ◽  
Author(s):  
Xiaojun Yao ◽  
Shiyin Liu ◽  
Meiping Sun ◽  
Junfeng Wei ◽  
Wanqin Guo
Keyword(s):  
Storage Capacity ◽  
Volume Estimation ◽  
Himalayan Region ◽  
Lake Basin ◽  
Flood Hazards ◽  
Topographic Map ◽  
Outburst Flood ◽  
Volume Calculation ◽  
Flood Peak ◽  
The North

AbstractGlacial lake outburst flood hazards in the Himalayan region have received considerable attention in recent years. Accurate volume estimation for glacial lakes is important for calculating outburst flood peak discharge and simulating flood evolution. Longbasaba lake, a potentially dangerous moraine-dammed lake, is located on the north side of the Himalaya. Its depth was surveyed using the SyQwest Hydrobox™ high-resolution echo sounder, and 6916 measurements were collected in September 2009. The maximum and average depths of the lake were 102 ± 2 and 48 ± 2 m, respectively. The morphology of the lake basin was modeled by constructing a triangulated irregular network, and the lake was found to have a storage capacity of 0.064 ± 0.002 km3. Multi-source remote-sensing images from Landsat MSS, Landsat TM/ETM+ and Terra ASTER and a topographic map were digitized to delineate the outlines of the lake between 1977 and 2009. The results indicate that the length and area of the lake have increased during the past 32 years, with a drastic expansion occurring since 2000. Based on volume and area data of Longbasaba lake in different periods, we deduced an empirical equation of the lake volume-area relationship that can be used to calculate the storage capacity of similar moraine-dammed lakes in the Himalayan region.

Sign in / Sign up

Export Citation Format

Share Document