Analysis of semi-automated method for femur length measurement from foetal ultrasound

Rahmatullah, Bahbibi; Besar, Rosli

doi:10.1080/03091900802451232

Cited by 19 publications

(13 citation statements)

References 8 publications

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“…Previous studies demonstrated the feasibility of automated fetal biometric measurements 1,7-13 and that this approach is both reliable and reproducible. 13 More recently, Zalud et al 1 demonstrated that automated measurements of the biparietal diameter, head circumference, abdominal circumference, and femur length were comparable to the manual measurements done by sonographers. An accumulating body of evidence indicates the feasibility of automatic fetal biometric measurements.…”

Section: Discussionmentioning

confidence: 93%

Does the Use of Automated Fetal Biometry Improve Clinical Work Flow Efficiency?

Espinoza

Good

Russell

et al. 2013

Journal of Ultrasound in Medicine

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This study was designed to compare the work flow efficiency of manual measurements of 5 fetal parameters with a novel technique that automatically measures these parameters from 2-dimensional sonograms. This prospective study included 200 singleton pregnancies between 15 and 40 weeks' gestation. Patients were randomly allocated to either manual (n = 100) or automatic (n = 100) fetal biometry. The automatic measurement was performed using a commercially available software application. A digital video recorder captured all on-screen activity associated with the sonographic examination. The examination time and number of steps required to obtain fetal measurements were compared between manual and automatic methods. The mean time required to obtain the biometric measurements was significantly shorter using the automated technique than the manual approach (P < .001 for all comparisons). Similarly, the mean number of steps required to perform these measurements was significantly fewer with automatic measurements compared to the manual technique (P < .001). In summary, automated biometry reduced the examination time required for standard fetal measurements. This approach may improve work flow efficiency in busy obstetric sonography practices.

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Section: Discussionmentioning

confidence: 93%

Does the Use of Automated Fetal Biometry Improve Clinical Work Flow Efficiency?

Espinoza

Good

Russell

et al. 2013

Journal of Ultrasound in Medicine

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“…Rahmatullah et al ,. using semi‐automated measurement of the femur after segmentation and extraction, and Zalud et al ,.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of automated tool for two‐dimensional fetal biometry

Salim

Cavallaro

Ciofolo-Veit

et al. 2019

Ultrasound in Obstet & Gyne

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Objective To evaluate whether an automated tool can recognize a structure of interest and measure fetal head circumference (HC), abdominal circumference (AC) and femur length (FL) on frozen two‐dimensional ultrasound images. Methods Ultrasound examinations were performed in 100 singleton pregnancies between 20 and 40 weeks of gestation, ensuring an even distribution throughout gestational age. In each pregnancy, three standard biometric variables (HC, AC, FL) were measured each in three different images obtained for this purpose (i.e. nine independent image acquisitions). An algorithm (Philips Research) was used to detect the structure of interest and automatically place calipers for measurement. Caliper placement was assessed in two ways. First, subjective clinical assessment was performed to determine whether the caliper placement was correct, and caliper position was classified as ‘acceptable for clinical use’, ‘minor adjustment required’ or ‘major adjustment required’. Second, the resulting automatic measurements were compared with manual measurements, taken in real time. Mean difference errors were calculated and expressed as percentages to correct for fetal growth with advancing gestation. Results After exclusion of one pregnancy due to missing images, a total of 891 images (297 for each biometric variable) from 99 pregnancies were analyzed. The algorithm failed to place calipers for the AC in nine images, whereas there were no failures in caliper placement for measurement of HC and FL. On subjective quality assessment of automatic caliper placement, in 475 (53.3%) images position of the calipers was judged to be clinically acceptable and did not require any adjustment, while in 317 (35.6%) and 90 images (10.1%) minor and major adjustments were required, respectively. The mean error between manual and automatic measurement of HC was −0.21 cm corresponding to a percentage error of −0.81% with 95% limits of agreement (LOA) between −3.73% and 2.12%. For AC and FL measurements, the mean error was, respectively, 0.72 cm (percentage error, 2.40%) with LOA between −9.48% and 14.27%, and 0.21 cm (percentage error, 3.76%) with LOA between −8.38% and 15.91%. Conclusions The automated tool identified correctly the biometric variable of interest in 99% of frozen images. The resulting measurements had a high degree of accuracy and compared well with previously published manual‐to‐manual agreement. The measurements exhibited bias, with the automated tool underestimating biometry; this could be overcome by further improvements in the algorithm. Nevertheless, adjustable calipers for manual correction remains a requirement. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.

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“…7 Subsequently, other groups provided additional evidence for the feasibility of automated measurements of the biparietal diameter and head circumference, 9,10 abdominal circumference and head circumference, 12 as well as femur length. 13 More recently, Zalud et al 1 demonstrated that automated measurements of the biparietal diameter, head circumference, abdominal circumference, and femur length were comparable to the manual measurements done by sonographers. Moreover, the authors indicated good interobserver variability with the use of the automated method.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, automatic fetal biome- try may improve the efficiency of prenatal sonography. Previous studies demonstrated the feasibility of automated fetal biometric measurements 1,[7][8][9][10][11][12][13] and that this approach is both reliable and reproducible. 1 However, our study further demonstrates that the automatic biometric method is more efficient than the manual one in the setting of a busy ultrasound practice.…”

Section: Discussionmentioning

confidence: 99%

“…An accumulating body of evidence indicates the feasibility of automatic fetal biometric measurements. 1,7,[9][10][11][12][13] In 1991, Zador et al 7 described computerized measurements of the biparietal diameter, occipitofrontal diameter, and head circumference and predicted that, with minor modifications in the hardware of ultrasound machines, computerized fetal biometry may become an integral part of these machines. Furthermore, the authors predicted the creation of algorithms for fully automated pattern recognition in which the appropriate plane for measurements would be determined by the computer rather than by the operator.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Does the Use of Automated Fetal Biometry Improve Clinical Work Flow Efficiency?

Espinoza

Good

Russell

et al. 2013

Journal of Ultrasound in Medicine

View full text Add to dashboard Cite

This study was designed to compare the work flow efficiency of manual measurements of 5 fetal parameters with a novel technique that automatically measures these parameters from 2‐dimensional sonograms. This prospective study included 200 singleton pregnancies between 15 and 40 weeks' gestation. Patients were randomly allocated to either manual (n = 100) or automatic (n = 100) fetal biometry. The automatic measurement was performed using a commercially available software application. A digital video recorder captured all on‐screen activity associated with the sonographic examination. The examination time and number of steps required to obtain fetal measurements were compared between manual and automatic methods. The mean time required to obtain the biometric measurements was significantly shorter using the automated technique than the manual approach (P < .001 for all comparisons). Similarly, the mean number of steps required to perform these measurements was significantly fewer with automatic measurements compared to the manual technique (P < .001). In summary, automated biometry reduced the examination time required for standard fetal measurements. This approach may improve work flow efficiency in busy obstetric sonography practices.

show abstract

Analysis of semi-automated method for femur length measurement from foetal ultrasound

Cited by 19 publications

References 8 publications

Does the Use of Automated Fetal Biometry Improve Clinical Work Flow Efficiency?

Does the Use of Automated Fetal Biometry Improve Clinical Work Flow Efficiency?

Evaluation of automated tool for two‐dimensional fetal biometry

Does the Use of Automated Fetal Biometry Improve Clinical Work Flow Efficiency?

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