Measurement of liver volume by ultrasound and computed tomography

Fritschy, P; Robotti, G; Schneekloth, G; Vock, Peter

doi:10.1002/jcu.1870110602

Cited by 48 publications

(30 citation statements)

References 10 publications

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“…There have been a few attempts in the past to use a primitive form of 3D ultrasound, where the position of each B-scan is recorded manually, to measure liver volume [11,36,62,153]. The earliest of these used a freehand scanning technique [153], although the accuracy of the volume measurements was limited by the large number of hand calculations and inaccurate B-scan localisation.…”

Section: Visualisation Of Implicit Surfacesmentioning

confidence: 99%

Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

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SummaryThree-dimensional (3D) acquisition and visualisation techniques are increasingly being incorporated into commercial ultrasound scanners. The diagnostic benefit of such techniques is not yet convincing, compared to the added inconvenience of using them. Although it is straightforward to use special probes to acquire 3D data, these are more restrictive than conventional 2D probes. The only 3D technique which retains the scanning flexibility and wide area of application of 2D ultrasound, is freehand 3D ultrasound, where a 2D probe is moved manually and its location sensed remotely. However, it is hard to generate a regular volume of data from the resulting non-parallel ultrasound images.Probably the largest body of evidence justifying the use of 3D ultrasound relates to the accurate measurement of volume. However, volume measurement with 3D ultrasound requires segmentation (i.e. outlining of the area of interest), which is a time consuming, manual task. Both this problem, and that of creating a regular volume of data, are eased by the use of sequential freehand 3D ultrasound, a recent technique amplified in this thesis, where all the processing is performed on the original ultrasound images. Thus a regular array of data is not required, and segmentation is performed on images whose features and artifacts are recognisable to the clinician.In this thesis, novel volume measurement and surface visualisation algorithms are developed for sequential freehand 3D ultrasound. A particular emphasis is placed on limiting the number of segmented cross-sections required for a given measurement accuracy. Inherent accuracy is demonstrated by simulation to be within ±2%, from 10 or fewer cross-sections. In vivo precision, including registration and segmentation errors, is shown to be within ±7%, even on complicated objects such as the liver or a foetus, from similar numbers of cross-sections. The volume can be updated in real-time as each image is segmented, and surfaces can be interpolated and visualised within a few seconds. Such visualisation can reveal errors in the segmentation which are otherwise hard to see.In addition, a framework for multiple-sweep data is developed, which allows volume measurement and surface visualisation of anatomy that can only be scanned by several sweeps of the ultrasound probe. Accurate volume measurements can therefore be made of all areas observable by conventional ultrasound. These measurements can be accomplished within approximately 5 minutes of examining the patient.The surface visualisation algorithms can also produce high quality renderings of data from a wide range of sources in medical imaging and other fields. The interpolation of cross-sections is an improvement on shape-based interpolation, and the triangular mesh created from the data is of a much higher quality than that using marching cubes. An extension of the surface interpolation algorithm can also be used to gradually change, or 'morph' one 3D surface to another, a technique commonly used in the film industry.

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Section: Visualisation Of Implicit Surfacesmentioning

confidence: 99%

Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

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“…[1][2][3][4] For patients undergoing major hepatic resection, the likelihood of post -hepatectomy liver failure is three times higher in patients who are left with < 25% of their initial liver volume compared to those who are left with ≥ 25% of their initial liver volume. [5] Mortality and morbidity rates for major hepatic resection have been reported to be as high as 30% with post hepatic liver failure being the major cause.…”

Section: Introductionmentioning

confidence: 99%

Computed tomography volume measurements of the liver using a liver segmentation and analysis package: an intra- and inter-rater reliability study

Childs

Thoirs

Esterman

2015

JBGC

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Introduction: Recent advances in technology have seen the introduction of software assisted image post-processing (SAIP) tools to calculate the volume of the liver from Computed Tomography (CT) images. One such SAIP tool is the semi-automated Philips liver segmentation and analysis package (Endhoven, The Netherlands). The intra-and inter-rater reliability of the liver volumes of 16 participants calculated using this tool was assessed. Methods: Two CT Technologists accessed Abdominal CT data sets and calculated the volume of the liver using the Philips liver segmentation and analysis package. One technologist repeated their calculation. Results: Results demonstrated high intra-rater reliability (ICC 0.9997) and high inter-rater reliability (ICC 0.99994). Analysis with Bland Altman plots showed the mean bias for both intra-and inter-rater reliability to be close to zero with acceptable limits of agreement. Conclusions: This study has shown that liver volume measurements using the Philips SAIP (Endhoven, The Netherlands) can be taken reliably by CT technologists, with confidence that the same results would be obtained between different CT technologists.

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“…However, whole-hepatic enlargement is proportional to the severity of the metabolic syndrome, and various imaging methodologies can be used for the estimation of liver volume. 15,16 We have recently introduced an ultrasound technique that measures the hepatic left lobe volume (HLLV), calculated by the ellipsoid formula, and we have shown that HLLV is tightly correlated to, and thus an excellent indicator of, visceral adiposity. 17 Treatment of obesity is based upon low-calorie diets, behavioral modifications and physical activity, the pharmacological treatment being considered as further approach.…”

Section: Introductionmentioning

confidence: 99%

Hepatic left lobe volume is a sensitive index of metabolic improvement in obese women after gastric banding

et al. 2011

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Background: Nonalcoholic fatty liver disease is a common finding in obese subjects. Increasing evidence has been provided suggesting that it represents the hepatic component of the metabolic syndrome. Objective: Aim of this longitudinal study was to evaluate the relationships between several anthropometric measures, including the hepatic left lobe volume (HLLV), and various indicators of the metabolic syndrome in a cohort of severely obese women before and after laparoscopic adjustable gastric banding (LAGB). Study design and results: Seventy-five obese women (mean age 45 ± 10 years and body mass index (BMI) 42.5 ± 4.8 kg m À2 ) underwent LAGB and completed an average (±s.d.) post-surgical follow-up of 24±6 months. Determination of HLLV, subcutaneous and intra-abdominal fat (IAF) was based on ultrasound. The principal component statistical analysis applied to pre-operative measurements, highlighted HLLV as a parameter that clustered with serum insulin, IAF, serum glucose and uric acid, along with triglycerides (TGs), alkaline phosphatase and high-density lipoprotein cholesterol. After LAGB, the average reduction of BMI was 23%, 12% for subcutaneous fat (SCF), 42% for HLLV and 40% for visceral fat. Among body weight, BMI, SCF, IAF and HLLV, reduction of the latter was an independent predictor of reduction of serum transaminases and g-Glutamyltransferase, glucose, insulin and TGs. Conclusions: In severely obese women: (i) HLLV is a sensitive indicator of ectopic fat deposition, clustering with parameters defining the metabolic syndrome; (ii) weight loss achieved by LAGB is associated with a reduction of liver volume as estimated by HLLV; (iii) among various anthropometric parameters measured, reduction of HLLV that follows LAGB represents the best single predictor of improvement of various cardiometabolic risk factors.

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Measurement of liver volume by ultrasound and computed tomography

Cited by 48 publications

References 10 publications

Volume Measurement in Sequential Freehand 3-D Ultrasound

Volume Measurement in Sequential Freehand 3-D Ultrasound

Computed tomography volume measurements of the liver using a liver segmentation and analysis package: an intra- and inter-rater reliability study

Hepatic left lobe volume is a sensitive index of metabolic improvement in obese women after gastric banding

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