Limb volume measurements: comparison of accuracy and decisive parameters of the most used present methods
© Chromy et al. 2015
Received: 31 August 2015
Accepted: 22 October 2015
Published: 19 November 2015
Limb volume measurements are used for evaluating growth of muscle mass and effectivity of strength training. Beside sport sciences, it is used e.g. for detection of oedemas, lymphedemas or carcinomas or for examinations of muscle atrophy. There are several commonly used methods, but there is a lack of clear comparison, which shows their advantages and limits. The accuracy of each method is uncertainly estimated only. The aim of this paper is to determine and experimentally verify their accuracy and compare them among each other. Water Displacement Method (WD), three methods based on circumferential measures—Frustum Sign Model (FSM), Disc Model (DM), Partial Frustum Model (PFM) and two 3D scan based methods Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) were compared. Precise reference cylinders and limbs of two human subjects were measured 10 times by each method. Personal dependency of methods was also tested by measuring 10 times the same object by 3 different people. Accuracies: WD 0.3 %, FSM 2–8 % according person, DM, PFM 1–8 %, MRI 2 % (hand) or 8 % (finger), CT 0.5 % (hand) or 2 % (finger);times: FSM 1 min, CT 7 min, WD, DM, PFM 15 min, MRI 19 min; and more. WD was found as the best method for most of uses with best accuracy. The CT disposes with almost the same accuracy and allows measurements of specific regions (e.g. particular muscles), as same as MRI, which accuracy is worse though, but it is not harmful. Frustum Sign Model is usable for very fast estimation of limb volume, but with lower accuracy, Disc Model and Partial Frustum Model is useful in cases when Water Displacement cannot be used.
Since very beginning of sport, visual observation of limb volume has been the most common method evaluating growth of muscle mass (De Santo et al. 2011), what consequently evaluates effectivity and utility of applied strength training schedule (Silva-Couto et al. 2014).
But if you are observing only, the changes in muscle mass are visible only when increments or decrements are significantly large, e.g. after longer exercising period. To be able to detect the efficiency of training in its very beginning or to be able to objectively compare two training methods, we have to detect tiny differences of muscle mass. In this case, the observing is insufficient—it is necessary to measure volumetric changes of limb (Akagi et al. 2009; Kaulesar Sukul et al. 1993; Knarr et al. 2013).
Beside sport sciences, the measurement of limb volume with sufficient precision is also valuable for many other purposes—e.g. for early detection of peripheral oedemas (Brijker et al. 2000; Haase et al. 2009; Haponiuk et al. 2013), lymphedemas, carcinomas (Ridner et al. 2007) or fibrosis (Ribeiro et al. 2010), its monitoring and control of its evolution; measurement of rehabilitation progress (Khanavi et al. 2014; Konecny 2013), measurements of muscle atrophy (Ramsay et al. 2011; Silva-Couto M de et al. 2014) or supervision of recovery process after invasive surgeries (Konecny 2013; Sproule et al. 2011; Wachal et al. 2014).
According to (Armer and Ridner 2006; Brijker et al. 2000; Kaulesar Sukul et al. 1993; Lavelle and Stanton 2014; Ridner et al. 2007), the presently most used methods intended for measurements of limb volumes are: circumferential methods called Frustum Sign Model, Disc Model and their conjunction Partial Frustum Model; method called Water Displacement Volumetry and methods based on 3D model provided by Magnetic Resonance Imaging (MRI) or Computed Tomography (CT). There are several papers about their practical use, but there is not enough information about their accuracy (only uncertain estimations) and their specific advantages and limits.
The aim of this paper is to determine and experimentally verify their accuracy and compare them among each other also in other parameters, which are decisive to their usability. The result of this work should be an objective overview of available methods and should serve as guide when choosing the proper method for particular application.
The first part of this section describes reference objects used for the following experiments. In the second part, measuring procedure of each tested method is described. Final part describes both comparative experiments: accuracy and repeatability verification experiment and personal dependency test.
Region situated at middle finger of left hand, in distal direction from axial cutting plane located at the centre of proximal interphalangeal joint (articulatio interphalangealis proximalis digii tertii).
Region of left hand, in distal direction from axial cutting plane going through both ulnar styloid process (processus styloideus ulnae) and radial styloid process (processus styloideus radii).
Region of forearm between axial cutting plane going through both ulnar styloid process (processus styloideus ulnae) and radial styloid process (processus styloideus radii) and axial cutting plane going through olecranon and cubital fossa (fossa cubitalis).
Each region of interest has been defined as above because of the fact that MRI and CT modalities do not recognize the border defined with permanent marker, so we have to be able to exactly determine boundaries of region just from the image of bones inside the limb, which are clearly visible at CT and MRI images.
Note: When words Finger, Hand and Forearm are written in following text with first character in capital, it is used in mean of the region of interest defined above, not in its anatomical sense.
Water Displacement Method
The most commonly used volumetric method is based on quantum of water overflowing from fully filled container when measured limb is inserted (Armer and Ridner 2006; Megens et al. 2001; Szopinski et al. 2014).
At the start of measurement, the container is emptied and tube is filled with water since water starts to float through the spillway. We wait so long as the spilled water fully drops away (up to 10 min at bigger tube and 20 s at smaller tube) and reset the scale value (TARE). Then, the measured object is inserted into the tube up to the marked edge of region of interest (in case of human limb) or fully drowns in case of reference cylinder. We wait so long as the spilled water fully drops away (in case of reference cylinder) or when the dropping period is longer than 1 s (in case of human limb, because the shivering of limb vibrates with water level and dropping of water does not ceases totally). The weight of spilled water in grams is the value of volume in millilitres, since the density of water is 0.999 g/ml at 20 °C (Cmelik et al. 2011).
The method is frequently used because of its simplicity and very high accuracy. The main disadvantages are, that it requires good flexibility of measured limb, good motoric functions of patient (shivering of limb significantly influences result) and it is very time consuming (Damstra 2009; Deltombe et al. 2007; Kaulesar Sukul et al. 1993; Lavelle and Stanton 2014; Ridner et al. 2007). Region of interest is limited to level of immersion only, what is not suitable for specific measurements (e.g. size of particular muscle).
Frustum Sign Model
This method is primarily used in cases, when the measured limb is not flexible enough to be placed into the water, in case of water-incompatible disease or in case, when patient limb is shivering too much (Ridner et al. 2007). Provides very quick and easy measurements, but its accuracy is low (Deltombe et al. 2007) and the results significantly depend on personal experiences of staff (Armer and Ridner 2006; Karakas and Bozkir 2012). The possibility of region of interest selection is also very limited.
The experimental apparatus and the method procedure is the same as in case of Frustum Sign Model, the only difference is that circumferential measurements are taken each 40 mm (Forearm region) or 10 mm (Finger region) from proximal border cutting plane of region and the total volume is computed as sum of equidistant discs (Fig. 5) (Deltombe et al. 2007).
This method has the same advantages and usage purposes as Frustum Sign Model, but is a bit more accurate (Kaulesar Sukul et al. 1993; Sander et al. 2002), however more time consuming (Haase et al. 2009).
Partial Frustum Model
This method combines two methods mentioned above. It takes the same measurements as Disc Model, but approximates volume by 40 mm or 10 mm high truncated cones instead of equidistant discs (Fig. 5) (Sander et al. 2002). The equation used at Frustum Sign Model was used.
This method has the same advantages and usage purposes as two previous methods, but it is slightly more time consuming compare to Disc Model if counted manually, but in case of computer processing, the time is the same and the accuracy is better since the approximation is more relevant to real volume (Lavelle and Stanton 2014).
Magnetic Resonance Imaging (MRI)
MRI is an imaging modality providing 3D models of human body, including their inner structures (Udupa and Herman 1999; Webb 2003). Although common volumetric application of MRI are mostly focused on measurements of inner organs (Chlosta et al. 2011; Gaszynski and Szewczyk 2014), MRI is used for limb volume measurements too (Akagi et al. 2009; Hackney et al. 2012; Knarr et al. 2013; Ramsay et al. 2011; Silva-Couto M de et al. 2014).
Its significant advantage is the possibility of selection of arbitrary regions of interest, what allows measurements of particular muscles, ligaments or bones instead of entire limb only as in case of previous methods (Udupa and Herman 1999). Nevertheless, the method is not frequently used because of its important disadvantages –high acquisition and operational costs (“Magnetic Resonance Imaging,” 2010), time consuming measurement procedure (Seidl and Vaněčková 2007) and limitation of patients with pacemakers or piercing (Novelline and Squire 2004).
The experimental apparatus consists of GE Discovery MR750 3T magnetic resonance imager providing captured data in DICOM format and open source software 3D Slicer (“3D Slicer,” 2015) capable of processing this data.
The patient’s body was situated in pronated position, with left upper limb raised upwards, shoulder joint in flexion, with forearms pronated. Region of hand was placed inside of measuring area of MRI device. Measurement using Ax T1 FSPGR 3D protocol was performed with Slice Thickness of 1.4 mm. The Hand region only was scanned due to the financial reason.
Computed Tomography (CT)
CT uses x-ray instead of magnetic spin in order to build the 3D model, but the volume is computed the same way as MRI—from 3D model provided by imaging modality. Compare to MRI, the CT provides better contrast, lower noise and higher spatial resolution (Herman 2009), what leads to better accuracy (McCollough and Zink 1999). The operational costs are also significantly lower (Udupa and Herman 1999). On the other hand, the ionizing radiation absorbed by patient during average scan can be up to 15 mSv (whole body scanning) (Trends et al. 2008), what is one-third of allowed exposition for workers with ionizing source per year and exceeds Czech generic hygiene limits for common people even 15 times (Statni urad pro jadernou bezpecnost 2002). For this reason, the use of this modality is allowed as rare as possible and repeated scanning is out of the question.
The patient was situated in the same position as at MRI. Measurement with Slice Thickness of 0.6 mm was performed. The Hand region only was scanned due to the ionizing radiation and financial reason.
Data processing was performed the same way as at MRI.
Accuracy and repeatability experiments
Since there is no universal object, which volume can be exactly computed and at the same time it is measurable by all compared methods, the experiments were processed as follows:
Overview of result values and their standard deviations measured using different methods
15.91 ± 0.06 ml
15.96 ± 0.04 ml
16.14 ± 0.31 ml
16.22 ± 0.27 ml
16.27 ± 0.28 ml
Finger, subject 1
13.80 ± 0.34 ml
13.80 ± 0.34 ml
13.66 ± 0.78 ml
13.08 ± 0.59 ml
12.66 ± 0.58 ml
13.22 ± 0.62 ml
13.41 ± 0.28 ml
Finger, subject 2
13.69 ± 0.21 ml
13.69 ± 0.21 ml
14.62 ± 0.39 ml
13.71 ± 0.37 ml
13.11 ± 0.35 ml
14.81 ± 0.70 ml
13.88 ± 0.35 ml
432.46 ± 0.53 ml
433.74 ± 4.12 ml
443.82 ± 5.04 ml
441.63 ± 3.86 ml
441.53 ± 3.93 ml
Hand, subject 1
397.70 ± 4.84 ml
397.70 ± 4.84 ml
392.27 ± 18.71 ml
399.49 ± 6.54 ml
Hand, subject 2
439.10 ± 7.66 ml
439.10 ± 7.66 ml
428.79 ± 21.46 ml
439.54 ± 7.34 ml
973.42 ± 0.89 ml
971.47 ± 3.50 ml
963.95 ± 6.35 ml
962.49 ± 3.78 ml
962.37 ± 2.83 ml
Forearm, subject 1
1184.90 ± 9.91 ml
1184.90 ± 9.91 ml
1087.72 ± 19.70 ml
1235.28 ± 12.96 ml
1303.94 ± 15.50 ml
Forearm, subject 2
1128.50 ± 9.76 ml
1128.50 ± 9.76 ml
1072.45 ± 33.66 ml
1054.53 ± 22.89 ml
1119.77 ± 23.29 ml
1108.26 ± 16.11 ml
1096.81 ± 27.16 ml
1161.05 ± 26.89 ml
1168.53 ± 28.68 ml
1136.85 ± 14.06 ml
1203.69 ± 12.81 ml
Since aluminium objects are not allowed for CT and MRI, true values of measured volumes are not known, so reference values for assessment of CT and MRI accuracy were stated as follows: Water Displacement method and circumferential methods were examined in both first and second step and dependency between accuracy and measuring method was the same, so we can assume, that the most accurate method according to first step will be also the most accurate method in second step. Since this best accurate method, Water Displacement Method reaches up to 0.3 % accuracy, its value was taken as reference in case of analysing CT and MRI methods, where true value is not known.
This parameter represents influence of systematic errors on measured value.
This parameter represents influence of random errors on measured value.
Personal dependency test
In case of circumferential measurements, the result value of volume is dependent on particular person performing the measurement, since the value affects how much the string is tightened.
Three sets of 10 measurements on the same Forearm region using each circumferential method were performed by three different people in order to test personal dependency of the method. Results of this test are shown in Table 1 in rows 9, 10 and 11.
Water Displacement method can be considered as the best method overall, since it has the very best accuracy (RACC = 0.3 %) and the best repeatability (SD up to 0.9 % at Forearm) together with simplicity—no expensive equipment is needed, the apparatus directly shows the measured value and it is operator independent. Experimental accuracy (0.3 %) was better than accuracy estimated in (Kaulesar Sukul et al. 1993) (2 %). It was even better since the size of object was bigger.
It was observed, that the only problem of the method is shivering of the measured limb, what causes false dropping and consequently increase of measured volume. It is clear from SD, which is about 2 times lower in case of reference cylinders. This phenomenon has been observed more at the last measurements, when examined subject started to be tired. Measure procedure is also time consuming (15 min.) comparing to circumferential methods, because the dropping is very slow.
The Frustum Sign Model was very fast (less than 1 min.), but it was very personally dependent in both accuracy and repeatability. The repeatability was in range from 2 to 6 % and accuracy in range from 2 to 8 % according the operator. But difference in resulting value in case of measurements of the same object by various operators was up to 10 %. On the other side, the best single operator was able to measure with RACC = 1.8 % and SD = 1.5 %.
Both Disc Model and Partial Frustum Model were also personally dependent, but the repeatability was better (1–2 % Forearm, 3–4 % Finger). The best operators reach also better accuracy (up to 1 %). However, the measurement was significantly slower (15 min.). There is no proven difference between these methods, but Partial Frustum Model is preferred, due to its more authentic volume approximation, what could theoretically lead to better accuracy.
The MRI and CT based measurements were significantly more expensive, but there are the only methods, where selecting of special region is allowed. Since MRI has lower resolution and there is also more noise in MRI data, the edge of object is harder to detect precisely, so the repeatability was lower in case of MRI (5 %) compared to CT (2 %). Also the accuracy was very good in case of CT (2 % finger, 0.5 % hand). The CT is the only method, which reaches up to the same accuracy and repeatability as the Water Displacement Method; however its use has adverse effect on human health.
Overview of defining parameters of compared methods and their recommended usage
Finger 8 %
Hand 2 %
Finger 2 %
Hand 0.5 %
Finger 2 %
Forearm 0.9 %
Finger 3–4 %
Forearm 1–2 %b
Finger 3–4 %
Forearm 1–2 %b
Finger 3 min
Other 15 min
Finger 8 min
Forearm 14 min
Finger 8 min
Forearm 14 min
Hand 19 min
Hand 7 min
Less than 1 min
Less than 1 mine
Less than 1 EUR
Less than 1 EUR
Less than 1 EUR
Less than 1 EUR
Special region measurementsh
Shivering body, flexibility of limb, infection
Claustrophobia, no metal (piercing, pacemaker,…)
High radiation dose, artefacts on metal parts
Best for accurate measurements of flexible and non-infected limbs. Good for standard use
When very fast, but not accurate (only estimation) of volume is required. Use the same staff to avoid operator dependency
No reason to use this method, same usage as Partial Frustumc
Use this, when better accuracy is required, but patient does not meet the limitations of Water Disp. Use the same staff
Use this in case of specific measurement region, where high accuracy is not necessary or in case of repeated measurements
Use this, when accurate measurement of specific region is required and the measurement is single shot only
Megens et al. (2001) or Kaulesar Sukul et al. (1993) consider Water Displacement method as the best method based on its repeatability. This experiment is conform to this claim and besides reliability, it evaluates also accuracy related to the true value, what is also the best from tested methods (Fig. 7).
Sander et al. (2002), Taylor et al. (2006) or Meijer et al. (2004) declares high correlation among circumferential methods and Water Displacement method, but significant discrepancy between values of these method. Based on that, they stated it cannot be indicated which method is preferable. This experiment evaluated method’s values in relation with true value and proved, that Water Displacement values are the closest from true value.
We confirmed repeatability of Frustum Sign and Disc Model given by Deltombe et al. (2007) and evaluated accuracy, which is worse than Water Displacement’s. On the other hand, this method cannot be considered as useless, since it is much faster than Water Displacement. It depends, how accurate measurement is necessary, but in many cases, its accuracy can be sufficient.
There are modification of Frustum Sign Model called Disc Model and Partial Frustum model, which were originally introduced in order to improve the accuracy. We examined, that improvement of accuracy is insignificant, especially in contrast with increase of measure time. Because of that, there is no reason to use another circumferential method than Frustum Sign Model.
All these method provides volume of entire limb, not the volume of muscles or oedemas only, what is usually value, which is required. In cases of measurements of oedemas, we consider changes in muscle mass as negligible, likewise in case of measurements of muscle growth or atrophy, we neglect oedemas. But there are cases, where these neglects are inappropriate. From this reason, we introduced new methods for limb volumetry into the comparison, CT and MRI, which are, even though expensive, the only methods useful in such cases.
The strength of this study is comparison of wide range of methods, presently used in limb volume measurements. The benefit of this study is also evaluation of all parameters necessary to know, when deciding which method to use, including accuracy or measurement time.
The limitation of this study is, that true value of measured object is known only for reference cylinders and not for human subjects. Because of that, the accuracy of MRI and CT cannot be stated exactly (marked with asterisk in Table 1) and provided values depends on validity of condition given in section “Accuracy and repeatability experiments”.
Future studies should verify the validity of this condition on another reference object with known true volume, which is more relevant to human limb and measurable also with MRI and CT (phantom). It should also investigate the lover limb since oedemas preferably occur at the feet.
The ideal volumetric method for upper limb should be accurate, repeatable, operator independent, simple, inexpensive and fast. Except the last one, the Water Displacement Method has all the abilities, so it is recommended as a standard method.
When use of Water Displacement is not possible (flexibility, shivering, infection, etc.), we recommend to use Partial Frustum Model, which takes the same time as Water Displacement, and reaches the satisfactory accuracy.
When accuracy is not the decisive factor and fast measurement is preferred, use Frustum Sign Method. It is the fastest method, which results (when taken by the same person) can be useful for fast estimation of volume.
In case of all circumferential method, be aware, that result value is very personally dependent, so only measurements taken by the same staff are comparable. Two measurements taken by different staff can vary by up to 10 %.
Due to expensive operation, the MRI and CT methods are recommended only in cases, when measurement of specific region is necessary (e.g. volume of particular muscle). When only single measurement (or very few) is necessary, use CT, which is less expensive and very accurate. In case of repeated measurements or when accuracy is not too important, use MRI, which has no harmful influence on patient’s health.
AC carried out the research, experiments and prepared this manuscript; LZ carried out the experiments and supervised the research as technical expert; PD suggested the topic and supervised the research as medical expert; IS carried out the experiments with MRI and CT; VM carried out the summary of available methods and its parameters. All authors read and approved the final manuscript.
This work was supported by the project CEITEC—Central European Institute of Technology (CZ.1.05/1.1.00/02.0068) financed from European Regional Development Fund, by the project FNUSA-ICRC (CZ.1.05/1.1.00/02.0123) financed from European Regional Development Fund and by the project FEKT-S-14-2429 “The research of new control methods, measurement procedures and intelligent instruments in automation” financed from Internal science fund of Brno University of Technology.
All authors declare that they have no competing interests. Authors declare that the experiments reported in the manuscript were performed in accordance with the ethical standards of the Helsinki Declaration and there were no other participants involved in experiments than the authors of this paper.
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- Akagi R, Takai Y, Ohta M, Kanehisa H, Kawakami Y, Fukunaga T (2009) Muscle volume compared to cross-sectional area is more appropriate for evaluating muscle strength in young and elderly individuals. Age Ageing 38:564–569. doi:10.1093/ageing/afp122 View ArticleGoogle Scholar
- Armer JM, Ridner SH (2006) Measurement Techniques In Assessment Of Lymphedema. Lymph Link Artic Repr 18:1–4Google Scholar
- Brijker F, Heijdra YF, Van Den Elshout FJ, Bosch FH, Folgering HT (2000) Volumetric measurements of peripheral oedema in clinical conditions. Clin Physiol Oxf Engl 20:56–61View ArticleGoogle Scholar
- Chlosta P, Drewa T, Siekiera J, Jaskulski J, Petrus A, Kamecki K, Mikolajczak W, Obarzanowski M, Wronczewski A, Krasnicki K, Jasinski M (2011) Lymph node dissection during laparoscopic (LRC) and open (ORC) radical cystectomy due to muscle invasive bladder urothelial cancer (pT2-3, TCC). Videosurgery Miniinvasive Tech 6:127–131. doi:10.5114/wiitm.2011.24689 View ArticleGoogle Scholar
- Cmelik M, Machonsky L, Sima Z (2011) Fyzikalni tabulky. TU Liberec, LiberecGoogle Scholar
- Damstra RJ (2009) Diagnostic and THERAPEUTICAL ASPECTS OF LYMPHEDEMa. Stichting Lymfologie Centrum Nederland (SLCN) ; University Library, Universiteit Maastricht [host], Drachten; MaastrichtGoogle Scholar
- De Santo NG, Bisaccia C, Cirillo M, Richet G (2011) Medicine in the Encyclopedie (1751–1780) of Diderot and d’Alembert. J Nephrol 24:S12–S24. doi:10.5301/JN.2011.6485 View ArticleGoogle Scholar
- Deltombe T, Jamart J, Recloux S, Legrand C, Vandenbroeck N, Theys S, Hanson P (2007) Reliability and limits of agreement of circumferential, water displacement, and optoelectronic volumetry in the measurement of upper limb lymphedema. Lymphology 40:26–34Google Scholar
- Gaszynski T, Szewczyk T (2014) The influence of laparoscopic vs. open gastric bypass on hemodynamic function in morbidly obese patients during general anesthesia. Videosurgery Miniinvasive Tech 9:83–88. doi:10.5114/wiitm.2014.40988 View ArticleGoogle Scholar
- Haase F, Siewert C, von Rautenfeld DB, Fischbach JU, Seifert H (2009) Comparison of different methods to quantify the volume of horse limbs. Berl Münch Tierärztl Wochenschr 122:126–131Google Scholar
- Hackney KJ, Cook SB, Fairchild TJ, Ploutz-Snyder LL (2012) Skeletal muscle volume following dehydration induced by exercise in heat. Extreme Physiol Med 1:3. doi:10.1186/2046-7648-1-3 View ArticleGoogle Scholar
- Haponiuk I, Chojnicki M, Steffens M, Jaworski R, Szofer-Sendrowska A, Juscinski J, Kwasniak E, Paczkowski K, Zielinski J, Gierat-Haponiuk K (2013) Miniinvasive interventional bridge to major surgical repair of critical aortic coarctation in a newborn with severe multiorgan failure. Videosurgery Miniinvasive Tech 8:244–248. doi:10.5114/wiitm.2011.33472 View ArticleGoogle Scholar
- Herman GT (2009) Fundamentals of Computerized Tomography: Image Reconstruction from Projections, 2nd ed. 2010 edition. Springer, Dordrecht, New YorkGoogle Scholar
- Jamerson T (2009) Uncertainty example using simple propagation of uncertainty rules, The University of Mississippi [WWW Document]. http://www.phy.olemiss.edu/~thomas/weblab/221%20Miscellaneous%20folder/221_web_uncertainty/No_quad_uncertainty_fall_09.pdf
- Karakas P, Bozkir MG (2012) Anthropometric indices in relation to overweight and obesity among Turkish medical students. Arch Med Sci 8:209–213. doi:10.5114/aoms.2012.28546 View ArticleGoogle Scholar
- Kaulesar Sukul DM, den Hoed PT, Johannes EJ, van Dolder R, Benda E (1993) Direct and indirect methods for the quantification of leg volume: comparison between water displacement volumetry, the disk model method and the frustum sign model method, using the correlation coefficient and the limits of agreement. J Biomed Eng 15:477–480View ArticleGoogle Scholar
- Khanavi M, Sabbagh-Bani-Azad M, Abdolghaffari AH, Vazirian M, Isazadeh I, Rezvanfar MA, Baeeri M, Mohammadirad A, Rahimi R, Shams-Ardekani MR, Abdollahi M (2014) On the benefit of galls of Quercus brantii Lindl. in murine colitis: the role of free gallic acid. Arch Med Sci 6:1225–1234. doi:10.5114/aoms.2014.47831 View ArticleGoogle Scholar
- Knarr BA, Ramsay JW, Buchanan TS, Higginson JS, Binder-Macleod SA (2013) Muscle volume as a predictor of maximum force generating ability in the plantar flexors post-stroke: measuring plantar flexor force post-stroke. Muscle Nerve 48:971–976. doi:10.1002/mus.23835 View ArticleGoogle Scholar
- Konecny P (2013) Nove trendy v neurorehabilitaci [abstract]. In: Dobsak P (ed) Proceedings of the IV. Dny Fyzioterapie 11–12 October 2013. pp 7–7Google Scholar
- Lavelle K, Stanton DB (2014) Measurement of Edema in the Hand Clinic, American Society of Hand Therapists [WWW Document]. http://www.researchgate.net/publication/257927122_American_Society_of_Hand_Therapists_TM_Key_Recommendations_for_Outcome_Evaluation_of_Edema_Measurement_of_Edema_in_the_Hand_Clinic_2_Conceptual_Basis_for_Testing_TestsMethods_Used_to_Measure_Edema
- Magnetic Resonance Imaging [WWW Document] (2010). URL http://www.mri-portal.com/clanky/magneticka_rezonance.php
- McCollough CH, Zink FE (1999) Performance evaluation of a multi-slice CT system. Med Phys 26:2223–2230View ArticleGoogle Scholar
- Megens AM, Harris SR, Kim-Sing C, McKenzie DC (2001) Measurement of upper extremity volume in women after axillary dissection for breast cancer. Arch Phys Med Rehabil 82:1639–1644. doi:10.1053/apmr.2001.26822 View ArticleGoogle Scholar
- Meijer RS, Rietman JS, Geertzen JHB, Bosmans JC, Dijkstra PU (2004) Validity and intra- and interobserver reliability of an indirect volume measurements in patients with upper extremity lymphedema. Lymphology 37:127–133Google Scholar
- Novelline RA, Squire LF (2004) Squire’s Fundamentals of Radiology. La Editorial, UPRGoogle Scholar
- Ramsay JW, Barrance PJ, Buchanan TS, Higginson JS (2011) Paretic muscle atrophy and non-contractile tissue content in individual muscles of the post-stroke lower extremity. J Biomech 44:2741–2746. doi:10.1016/j.jbiomech.2011.09.001 View ArticleGoogle Scholar
- Ribeiro RCB, Lima SMPF, Carreira ACG, Masiero D, Chamlian TR (2010) Inter-tester reliability assessment of the volumetric measurement of the hand in subjects without any changes in their upper extremities. Acta Fisiatr 17:3–7Google Scholar
- Ridner SH, Montgomery LD, Hepworth JT, Stewart BR, Armer JM (2007) Comparison of upper limb volume measurement techniques and arm symptoms between healthy volunteers and individuals with known lymphedema. Lymphology 40:35–46Google Scholar
- Sander AP, Hajer NM, Hemenway K, Miller AC (2002) Upper-extremity volume measurements in women with lymphedema: a comparison of measurements obtained via water displacement with geometrically determined volume. Phys Ther 82:1201–1212Google Scholar
- Seidl Z, Vaněčková M (2007) Magnetická rezonance hlavy, mozku a páteře, Avicenum. ed. GradaGoogle Scholar
- Silva-Couto de MA, Prado-Medeiros CL, Oliveira AB, Alcantara CC, Guimaraes AT, Salvini de TF, Mattioli R, de Russo TL (2014) Muscle atrophy, voluntary activation disturbances, and low serum concentrations of IGF-1 and IGFBP-3 are associated with weakness in people with chronic stroke. Phys Ther 94:957–967. doi:10.2522/ptj.20130322
- Slicer D (2015) [WWW Document]. http://www.slicer.org/
- Spinczyk D (2014) Preparing the anatomical model for ablation of unresectable liver tumor. Videosurgery Miniinvasive Tech 9:246–251. doi:10.5114/wiitm.2014.43022 View ArticleGoogle Scholar
- Sproule DM, Montgomery MJ, Punyanitya M, Shen W, Dashnaw S, Montes J, Dunaway S, Finkel R, Darras B, De Vivo DC, Kaufmann P (2011) Thigh muscle volume measured by magnetic resonance imaging is stable over a 6-month interval in spinal muscular atrophy. J Child Neurol 26:1252–1259. doi:10.1177/0883073811405053 View ArticleGoogle Scholar
- Statni urad pro jadernou bezpecnost (2002) Vyhlaska O Radiacni OchraneGoogle Scholar
- Szopinski T, Golabek T, Borowka A, Chlosta P (2014) Is determination of transition zone volume by transrectal ultrasound in patients with clinically benign prostatic enlargement sufficiently reliable in the clinical setting? Videosurgery Miniinvasive Tech 9:398–403. doi:10.5114/wiitm.2014.43128 View ArticleGoogle Scholar
- Taylor R, Jayasinghe UW, Koelmeyer L, Ung O, Boyages J (2006) Reliability and validity of arm volume measurements for assessment of lymphedema. Phys Ther 86:205–214Google Scholar
- Trends T, Read W, Jobs AR (2008) CT and radiation: What radiologists should know. Appl Radiol 37:22–29Google Scholar
- Udupa JK, Herman GT (1999) 3D Imaging in Medicine, 2nd edn. CRC Press, Boca Raton. ISBN 9780849331794. https://www.crcpress.com/3D-Imaging-in-Medicine-Second-Edition/Udupa-Herman/9780849331794 Google Scholar
- Wachal K, Szmyt K, Oszkinis G (2014) Diagnosis and treatment of a patient with type IV endoleak as a late complication after endovascular aneurysm repair. Videosurgery Miniinvasive Tech 9:667–670. doi:10.5114/wiitm.2014.47264 View ArticleGoogle Scholar
- Webb AR (2003) Introduction to biomedical imaging. Wiley, HobokenGoogle Scholar