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3 (Color) Doppler US: Theory, Artefacts, Typical Applications inChildhood
45
• Combination of aCDS with split/double image technique, extended eld of view/ panoramic US (see above) or integration of aCDS into 3D-/4DUS possible— vessels can be visualised over signicant longer distances or even with rather tortuous and complex anatomy (Fig.3.5a, b).
3.1.2.6 Other Flow-Sensitive US Techniques
Time domain or (colour) velocity imaging depicts motion of single reectors between consecutive images by using extremely high spatial and temporal resolu­tion (subtraction technique). This allows motion depiction, as individual structures are imaged at different times at different locations.
Promising method—particularly with regard to sensitivity, angle dependency
and measurement accuracy; works at far less sound pressure than aCDS with better frame rates (but sometimes restricted penetration).
Note Presently only few vendors offer this technique in some dedicated devices
(e.g. B-ow by GE) (Fig.3.6), but more are coming up.
3.1.2.7 Important Parameters andMeasurements (Fig.3.7)
V
syst.max.
=V
=maximal systolic ow velocity—only to be measured after angle
syst
correction.
V
end diast.
=V
=maximum end-diastolic ow velocity—measurement only after
diast
angle correction.
• TAV—time average velocity; weighted mean velocity parameter that sums up velocities of all particles within sample volume over dened cycle. Only correct
Fig. 3.5 3DUS with integrated aCDS. (a) Rendered image of a 3DUS—aCDS acquisition of a neonatal brain demonstrating a large vein of Galen AVM with its main feeders and a short section of the enlarged draining vein (not entirely depicted due to scale settings during acquisition). (b) 3DUS with included CDS data of a soft tissue vascular malformation, acquisition from dorsal approach. Three orthogonal sections and rendered CDS-weighted view that superiorly demon­strates marked vascularity of lesion
46
ab
Fig. 3.6 Non-Doppler ow imaging techniques: (a) Basic power Doppler image of a neonatal kidney (preterm, free breathing, tachypnoea, circulatory impairment due to sepcticaemia) demon­strates a rather patchy and clumsy appearance of peripheral renal vasculature. (b) B-ow of the same kidney delineates individual peripheral vessels much better in spite of peripherally impaired perfusion—particularly in the near eld
M. Riccabona
Fig. 3.7 Doppler measurements and calculations. Typical Doppler high (a) and low (b) resistance ow pattern with respective relevant measurements. Abbreviations: V low line), V
mean velocity (orange line), t 0, t=time of measurement
mean
if angle correction possible, vessel position stable throughout entire measure­ment cycle and proper placement of sample volume throughout feasible.
• TAMX—time average maximum velocity; mean maximum ow velocity throughout measurement cycle—angle correction necessary.
RI—resistance (or resistive) index (Pourcelot index)—angle independent param-
eter that calculates relation between systolic and diastolic maximum velocity. Describes resistance or impedance but also inuenced by many other factors.
Equation: RI=V
syst
V
diast/Vsyst
• PI—pulsatility index (Gosling index); describes ow details throughout entire systolic-diastolic cycle, very sensitive towards even minor changes within ow prole—but extremely depends on accurate angle correction.
maximum velocity (yel-
max
3 (Color) Doppler US: Theory, Artefacts, Typical Applications inChildhood
47
Equation: PI=V
syst
V
/TAM; X
diast
Q—volume ow (mL/min)—different parameters and calculations used:
Q
=TAV×A (A—section area of vessel—if planimetrically measured or
time
use equation for A from below).
Note: New 4D quantitative methods (e.g. QIBA) are being developed, but yet still not routinely available (though some companies are getting close, e.g. Phillips)
Q
=VTI×A (A=π x D/22), D—diameter=2 R, VTI—velocity time
per systoly
integral=integral of systolic velocities, i.e. area under the curve dened by
maximum velocity throughout cycle).
– Simplied equation: Q (mL/min)=TAV(m/s)×D2(mm)×47.1 (correction
factor).
Note: Oblique vessel sections cause signicant errors. Flow volume measure­ments depend on adequate angle correction and particularly on accurate mea­surement of cross-sectional area and/or diameter of vessel.
• AI (or ACCI)—acceleration index; important for evaluation of stenosis. Describes rise of systolic ow velocity, i.e. time from beginning of systole until reaching V
syst.max
3.2 Artefacts in(Colour) Doppler Sonography
3.2.1 Aliasing
Confusing display of high velocities (beyond the Nyquist border) or wrong velocity scale settings; the part of systolic velocity too high for scale/beyond Nyquist border added on opposite side of scale or encoded in opposite colour (Fig.3.8).
.
Fig. 3.8 (a) CDS of a PDA; the sparkling colour signals indicate aliasing due to turbulent and high-velocity ow; the maximum systolic velocity is higher than depictable by the respective colour map setting/the Nyquist border (i.e. applicable pulse repetition frequency). (b) Flow graph for spectral analysis of a PW or CW Doppler trace: High-velocity systolic ow, cannot be properly displayed on the screen due to missing correction of the baseline and the high ow velocity; the respective part of the systolic ow is represented by spectra coming into the image from below and reaching up to and even above the baseline
48
M. Riccabona
3.2.2 Spectral Broadening
Indicates turbulent ow, for example, with stenosis or vessel wall pathology/ irregularity:
• Same phenomenon articially caused by inadequately high gain (recognised by increased background noise on display of duplex trace or colour noise on image).
3.2.3 Sample Volume Artefact
The individually adaptable size of individual measurement can cause errors.
If sample volume is positioned incorrectly, may lead to incomplete measure-
ments or signicant artefacts:
• A too large sample volume includes pulsation from vessel wall.
• A too small sample volume depicts only central fast ows, whereas more periph­eral slower and potentially turbulent ow not included.
3.2.4 Filtering Artefacts
If lters are set too high, low velocities are not displayed even if present—may mimic pathology (e.g. missing antegrade diastolic ow).
3.2.5 Scaling Problems
Incorrect measurements can be caused by inadequate adaptation of scale or baseline.
3.2.6 Gain-Induced Errors
If gain is set too low, existing ow may not be depicted.
If gain is set too high, articial turbulences may be simulated.
3.2.7 Angle Correction
Inadequate angle correction may cause signicant errors in measurements, e.g. caused by poor vessel delineation due to tortuosity in axial or oblique plane not or uncorrectable in imaging plane.
Furthermore, high Doppler angles cause inaccuracies (see also Table3.1).
3 (Color) Doppler US: Theory, Artefacts, Typical Applications inChildhood
49
3.2.8 Motion Artefact
Particularly a problem with aCDS.Motion can cause colour signals (e.g. breathing, pul­sating tissue, adjacent peristalsis or organ movement)—not to be mistaken for real ow.
3.2.9 Twinkling Artefact
Reverberating structures of strong echogenicity that undulate in sound eld; these and not motion create sparkling colour signals—useful for depiction of concre­ments/calcications or solid deposits (see Fig.3.9c, d).
Note Not all concrements cause twinkling—the artefact very much depends on
nature, size and composition of concrement, transducer frequency, focus setting, equipment used as well as on gain, lter and scale settings. Can also be seen with air, resembling reverberation artefacts on grey scale US—to be identied by typical spikes on duplex trace.
Fig. 3.9 Examples for CDS artefacts. (a, b) CDS mirror artefact. CDS of the proximal IVC (tran- shepatic sagittal view) at junction with diaphragm: echogenic border (caused by air in the lung) causes mirroring of vessel colour display (encoded in blue) into intrathoracic cavity mimicking an aberrant vessel (displayed in red). (c, d) Twinkling artefact—grey scale and CDS. Axial view, kidney of an infant: small echogenic spot of indicating a papillar precipitation that causes twin­kling non-directional colours signals (“twinkling sign”)
50
M. Riccabona
3.2.10 Others
A variety of artefacts as described previously on grey scale US can also occur on Doppler, such as mirroring (Fig.3.9).
3.3 How toPerform (Colour) Doppler Investigations
Some special aspects need to be considered in equipment setting and transducer handling.
Note Doppler US uses signicantly higher energy, therefore particularly in vulner-
able areas, investigation should be as short as possible; always observe TI values.
• Try to use lowest possible output energy after pre-adapting other parameters such as scale/velocity, lters, sample volume size and update rate before starting Doppler tracing.
• Usually Doppler investigations are performed at lower frequency than grey scale imaging—therefore usually multifrequency transducers are used for CDS (e.g. grey scale 7MHz, Doppler 5 or 4MHz).
• Initially images are optimised on grey scale, then targeted vessel is focused try­ing to optimise position and imaging for Doppler conditions—then Doppler is activated to improve vessel delineation and speed up orientation.
• After further image optimisation (adapting focus to relevant area), zoom, etc. can be applied to further improve image and consequently allow for adequate measurements.
• Thereafter, cursor with sample volume is placed in vessel, sample size is opti­mised—only then triplex or duplex mode is activated. Again, try to avoid unnec­essary high output gain; adjust receive gain, scale, ltering and all other parameters.
• For measurements, Doppler trace of at least several consecutive cycles should be obtained—without impairing background noise.
• Take measurements afterwards on frozen image to avoid unnecessary tissue exposure/high sound pressure.
3.3.1 Limitations
• Inaccessible areas for US, structures interfering with access such as interposed air or calcied structures.
• High Doppler angles.
• Signicant motion.
• Furthermore, extremely high velocities can cause problems (“Nyquist bor­der”=beyond the scale the pulse repetition frequency allows for).
3 (Color) Doppler US: Theory, Artefacts, Typical Applications inChildhood
51
3.3.2 Interpretation
For reading colour/duplex-Doppler images, profound knowledge about pathophysi­ology and impact on perfusion/resistance is essential. Several parameters impact spectral Doppler traces (Fig.3.10):
• Diameter of vessel: the larger the diameter, the more laminar ow exists, particu­larly within central lumen.
• Rheologic composition of blood: depends on concentration of corpuscular par­ticles as well as composition of uids.
Fig. 3.10 Schematic drawing of various Doppler ow proles. Typical ow pattern encountered in various conditions, with respect to site of relevant pathology in relation to point of measurement (before, at, after lesion) and cardiac function. RI (restive index) changes indicated. 1 normal, 2 volume overload, increased cardiac output, 3 reduced cardiac output, 4 measurement after stenosis, 5 measurement at stenosis, 6 measurement before area of diminished resistance/shunt, 7 measure­ment before area of increased resistance, stenosis, perfusion impairment, 8 measurement in area of increased resistance/perfusion impairment, 9 measurement close to occlusion/perfusion stop, 10 measurement after shunt
52
• Overall blood volume as well as cardiac function impact ow velocities and ow proles—even in peripheral vessels. Furthermore, changes of vessel wall impact­ing diameter and elasticity affect ow prole.
• Caliber variations impact ow spectrums—not only at site of stenosis but usually if haemodynamically signicant, up- and downstream as well. Can also be caused by transducer pressure inducing articial compression.
• Additional aspect: peripheral resistance especially impacts diastolic ow.
M. Riccabona
3.4 Three- andFour-Dimensional US (3D-/4DUS)
3.4.1 Physics andTechniques
Several different techniques used for acquiring 3DUS data:
• Originally series of 2D images combined with some position information for reconstructing 3D data set. Position information either derived from some sort of positioning device (optical-, acoustic-, electromagnetic sensors, mechanical positioning devices, etc.) or from estimated transducer shift, using information derived from extended view—like vector analysis-based calculation.
• Presently most commonly used: 3D transducers—scan heads that have inte­grated motor which mechanically moves scan head through acquisition eld thus dening each individual plane by motor sweep speed.
• Most modern techniques—matrix transducers that have 2D crystal matrix; allows for simultaneous acquisition of real volume by electronic steering.
After data acquisition and reconstruction of 3D volume—data viewed in multi-
ple displays:
• Multi-axial sections.
• CT-like tomographic parallel sections.
• Any kind of reconstruction as with CT and MRI.
• Various rendering algorithms are applicable—to visualise and extract volume information difcult to display in 2D planes (e.g. tortuous structures, cavities and surfaces).
Repeated update of such 3D acquisitions allows for lm-like visualisation—
hence called 4DUS, with time being the fourth dimension. Particularly useful when analysing motion-depending phenomena of structures only properly depicted by 3DUS either due to inaccessible plane for conventional 2DUS or surface information.
3.4.2 Typical Paediatric 3DUS Applications
3.4.2.1 Neonatal Neurosonography
Using open fontanel and dedicated 3DUS transducers, practically the entire neona­tal brain is covered in one or two 3D volumes. Standard sections comparable to CT
3 (Color) Doppler US: Theory, Artefacts, Typical Applications inChildhood
53
and MRI reconstructed, particularly crucial (axial, coronal) planes (often not avail­able on 2DUS) retrievable from data set, valuable not only for documentation but also for:
• DDx—particularly with cystic structures and anatomic correlation (Fig.3.11).
• Analysis of complex and tortuous structures or hydrocephalus (Fig.3.12).
• Standardised assessment of extra-axial uid space, cerebral ventricles, major cere­bral vessels, etc. Furthermore—provided sufcient extra-axial uid around brain— brain surface viewing can be attempted opening up completely new eld for research/US diagnostic potential (migration/gyration disorders, etc.) (Fig.3.13).
3.4.2.2 3DUS oftheKidney
Particularly useful in kidneys with pelvicalyceal distention. Using segmentation algorithms, real renal parenchymal volume (after deduction of dilated collecting
Fig. 3.11 Neonatal brain 3DUS: improved DDx and conspicuous viewing by 3DUS.Tomographic display: CT-like demonstration after axial reconstruction of an intracranial (arachnoid) cyst that obviously does not connect to the only slightly dilated supratentorial ventricles
Fig. 3.12 Neonatal brain 3DUS: hydrocephalus. Three orthogonal views and segmented-inverted rendered view of dilated ventricles (right lower box) in a baby with supratentorial hydrocephalus
54
Fig. 3.13 Brain 3DUS in a preterm: brain surface assessment. This surface- weighted rendered view of brain surface in a preterm baby nicely demonstrates jet reduced and physiologically immature gyration
Fig. 3.14 3DUS kidney for volume calculation: two views of a stepwise segmentation process. (a) Entire kidney has been manually extracted from data volume, with demarcation of semi­automatically segmented dilated collecting system (threshold and grey scale inversion approach, collecting system seen white). (b) After deduction of colleting system, only renal parenchyma left—volume can then be calculated, and thus renal parenchymal volume calculation (including split renal size estimates) can be performed even in hydronephrotic kidneys
M. Riccabona
Fig. 3.15 3DUS in pelvicalyceal dilatation. Three orthogonal and segmented-inverted rendered view of dilated collecting system (right lower box) in a baby with pelvi-ureteric junction obstruction
system) can be calculated, split renal volume can be estimated—reliably offers essential information in patients with obstructive uropathy, particularly valuable during follow-up (Fig.3.14):
• Using threshold-based and inversion-rendering techniques, conspicuous IVU- or MRU-like display of dilated collecting system and its anatomy is provided (Fig.3.15).