The depth an ultrasound image pays for its sharpness
Assumes: The distance that takes the treble out · The answer that cannot come first
The distance that takes the treble out found that sound loses its high frequencies with distance because absorption grows with frequency: as its square in a simple fluid, more slowly in real air, where molecular relaxations take their share. The answer that cannot come first found that absorption and the bending of waves are one fact, tied by causality, and where the loudness goes followed the absorbed energy into heat. Later essays carried absorption into X-rays, semiconductors and pigments.
This essay takes absorption into the body, where it decides what an ultrasound scanner can see. The trade is familiar to anyone who has watched a scan: a probe for the abdomen sees deep and blurry, a probe for a tendon sees sharp and shallow. What is less familiar is how exact the trade is. In soft tissue, sharpness and depth are exchanged one for one, and the number of distinct depths a scanner can resolve along a line of its image comes out independent of the frequency it uses. The reason is a peculiarity of how tissue absorbs sound — and that peculiarity is itself a fact about tissue’s structure.
From submarines to the womb
Ultrasound imaging began as a way to find submarines. Paul Langevin, in Paris during the First World War, used the piezoelectric effect of quartz — a crystal that changes shape when a voltage is applied and makes a voltage when squeezed — to send pulses of ultrasound into the sea and hear their echoes, the beginning of sonar. Industry used the same pulse-echo principle from the 1930s to find flaws inside metal castings. The step into medicine was taken in the 1940s and 1950s, and its turning point is usually dated to 1958, when Ian Donald, an obstetrician in Glasgow, and the engineer Tom Brown published images of abdominal masses and, soon after, of the foetus in the womb, made with an industrial flaw detector adapted for the body.
What made it medicine rather than engineering was that soft tissue, nearly transparent to the method’s predecessors, turned out to return echoes from every boundary between tissues and from the fine structure within them, faint but plentiful. The images were coarse, because the frequencies used were low enough to see through a whole abdomen, and the trade this essay is about was there from the first scan: to see further in, the operators had to accept seeing less sharply.
How tissue absorbs sound
Water absorbs ultrasound weakly and as the square of the frequency, by the viscous and thermal mechanism that also removes the air’s treble: at five megahertz a beam loses only five hundredths of a decibel per centimetre. Soft tissue, which is mostly water, absorbs fifty to two hundred times more, and with a different law: almost exactly in proportion to frequency, at about half a decibel per centimetre for every megahertz, with variations between tissues — more in muscle across its fibres, less in blood, more in fat.
A loss proportional to frequency is not what any single mechanism gives. A single relaxation process, a molecular arrangement that takes a definite time to respond to the compression, absorbs as well below its relaxation frequency and levels off above it, the shape that the earlier essay found for the oxygen and nitrogen in air. Tissue contains a great many such processes — proteins changing shape, water moving between bound and free states, membranes and fibres responding at their own rates — with relaxation times spread over many decades. Each contributes a hump of absorption near its own frequency, and the sum of a great many humps spread evenly in logarithm of frequency is a nearly straight line, the power law with exponent near one. The same superposition of relaxations gives many polymers and biological materials their nearly frequency-independent loss per cycle.
Causality adds a consequence that can be measured. Absorption rising in proportion to frequency forces, through the Kramers–Kronig relations, a speed of sound that rises slowly with frequency, by about the logarithm of the frequency, a fraction of a per cent across the diagnostic band. Ultrasound pulses in tissue are therefore slightly dispersive, and the dispersion has been measured and found to match the absorption, as the answer that cannot come first says it must.
An echo that fades with depth
A scanner sends a short pulse into the body and listens for echoes from boundaries between tissues, and the time each echo takes says how deep the boundary is, at a speed of sound close to 1,540 metres a second in soft tissue. An echo from a depth d has travelled 2d, and lost decibels on the way. The scanner can amplify echoes from deeper down more than those from near the skin, compensating for the expected loss, but it cannot recover an echo weaker than its own electronic noise. The ratio between the strongest echo and the noise, the usable dynamic range, is typically sixty to eighty decibels, and it sets the deepest echo the scanner can use: .
At two megahertz that is thirty centimetres, deeper than the abdomen; at five, twelve; at ten, six; at twenty, three. The choice of probe follows: two to five megahertz for the liver, the kidneys and a pregnancy, ten to fifteen for the thyroid, a tendon or a breast, twenty to fifty for the skin and the front of the eye, and higher still for probes threaded inside blood vessels, which need to see only a few millimetres into the vessel wall.
Sharpness as a pulse length
The sharpness along the beam is set by the pulse. Two reflectors closer together in depth than half the pulse’s length return echoes that overlap and cannot be told apart, the limit that the layer too thin to see found for seismic pulses in rock. A transducer rings for a cycle or two when struck by its driving voltage, so the pulse is a couple of wavelengths long, and the axial resolution is about one wavelength: half a millimetre at three megahertz, a tenth of a millimetre at fifteen. Making the pulse shorter means using more bandwidth, the price sharpness always pays, and a transducer’s bandwidth is a fraction of its centre frequency, so the pulse’s length in cycles is roughly fixed and its length in millimetres goes as one over the frequency.
Two lines that run parallel
So both the depth a scanner reaches and the finest detail it resolves fall as one over the frequency, and on logarithmic axes they are parallel lines. Raising the frequency moves the image’s window down the scale of sizes, making both its depth and its pixels smaller, without changing their ratio. A scanner at three megahertz sees twenty centimetres with half-millimetre detail; at fifteen, four centimetres with tenth-millimetre detail; at fifty, a centimetre with thirty-micrometre detail. They are the same image at three magnifications.
A count of details that frequency cannot move
Dividing one line by the other gives the number of separately resolvable depths along a line of the image,
where N is the pulse’s length in cycles. The frequency has cancelled. For sixty decibels of dynamic range, two-cycle pulses and tissue’s half a decibel per centimetre per megahertz, it is about three hundred and ninety, at any frequency. Only two things can raise it: a scanner with a larger dynamic range, more decibels between the strongest echo and the noise, or tissue that absorbs less per cycle, which is not available.
The cancellation depends on the absorption law. A medium that absorbed as , like water, would lose depth as the square of the frequency and resolution only as its first power, and the count of resolvable depths would fall as one over the frequency, from tens of thousands at one megahertz to under two thousand at fifty. It is the near-linear absorption of tissue, the sum of its many relaxations, that makes the trade exactly one for one. The structure of tissue at the scale of its molecules and membranes sets the information content of every ultrasound image of it.
Ultrasound shares this kind of invariant with other imaging methods. An optical microscope’s field of view and resolution trade through its numerical aperture and magnification, keeping a roughly fixed number of resolvable spots across an image; a radar’s range and range resolution trade through its bandwidth and power. In each, choosing a scale does not change how many details fit, and the number that does is set by something the user cannot choose.
Across the beam as well as along it
The same cancellation applies, more loosely, to the other direction in the image. A modern probe is an array of a hundred or more small transducer elements, each driven with its own delay, so that the pulses from all of them arrive at a chosen point together and the beam is focused there; on reception the echoes are delayed and summed in the same way, focusing again. The width of the focused beam is about the wavelength times the focal depth divided by the width of the array, the same diffraction limit as any lens, and so it too shrinks as one over the frequency.
The field of view across the image is set by the width of the array and the angle it sweeps, which do not change with frequency, so across the beam a higher frequency does buy more resolvable spots. But a high-frequency probe for shallow work is made small, to be held against a neck or a wrist, and its focal depth is short, and in practice the images from probes of every frequency come out a few hundred resolvable spots on a side. A scanner’s display can show many more pixels than that; it does not show more detail.
Seeing with the harmonic
There is one way round the trade that scanners now use routinely. Tissue is slightly nonlinear: the compressions of a strong ultrasound wave travel a little faster than its rarefactions, so the wave steepens as it goes, the process the front that steepens until it cannot followed in air, and in steepening it generates harmonics, energy at twice, three times the frequency it was sent at. The second harmonic grows from nothing near the transducer, strongest where the fundamental is strongest, and is itself absorbed at twice the rate; it peaks a few centimetres in and fades.
A scanner that transmits at three megahertz and listens at six — tissue harmonic imaging — gets the sharper resolution of six megahertz on the way back without paying six megahertz’s absorption on the way in. The harmonic is generated mostly in the strongest part of the beam, its centre, so the effective beam is narrower and the image’s lateral resolution better, and it is not generated in the first centimetre or two below the skin, so the haze of reverberations between skin, fat and muscle that blurs ordinary images is largely missing from it. Most modern diagnostic images are harmonic images.
Why the transmitter cannot simply shout
The obvious way to raise the dynamic range, and with it the count of resolvable depths, is to send stronger pulses. Two safety limits stop it. Absorbed sound heats tissue, at a rate proportional to the absorption coefficient and the intensity, and regulators cap the time-averaged intensity a scanner may deliver, reported on its screen as a thermal index, so that no tissue warms by more than a degree or so. And a strong pulse’s rarefactions pull on the liquid in tissue, and below a threshold of negative pressure small gas nuclei can grow into bubbles and collapse violently — cavitation, which can damage cells. The tendency to cavitate falls with frequency, since a short rarefaction gives a bubble less time to grow, and scanners display a mechanical index, the peak negative pressure divided by the square root of the frequency, kept below a fixed ceiling.
Both limits bound the transmitted pressure, so the dynamic range is set mainly at the other end, by how quiet the receiving electronics can be made, and that has improved by tens of decibels since the first scanners. Every ten decibels of extra range adds about sixty-five resolvable depths at any frequency, by the formula above — one of the few ways the fixed count has actually been raised.
Ultrasound’s other limits
Depth and axial resolution are only part of an image. Resolution across the beam is set by the transducer’s width and focusing, as for any lens, and is usually several times coarser than the axial resolution. Every image is covered in speckle, the granular texture that the grain that is in the light found in laser light, made by the interference of echoes from many scatterers too small to resolve; it looks like tissue texture and is not. And sound must get into the body at all: the impedance of skin is so close to water’s and so far from air’s that a probe in air sends almost nothing in, the mismatch the lever that lets air speak to water found, which is why every scan begins with a layer of gel.
The same physics that limits imaging is used deliberately elsewhere. Absorbed ultrasound heats tissue, and focused beams of a few megahertz at high power raise the temperature at their focus enough to destroy a small volume of tissue deep inside the body without a cut, the basis of focused-ultrasound treatments of tumours and of some movement disorders, where the beam is aimed through the skull. Doppler shifts of the echoes from moving blood, which the shift a mirror gives twice explained, measure its speed.
Where the model stops
The figures use a single attenuation coefficient for soft tissue, half a decibel per centimetre per megahertz, a single exponent of one and a single speed of sound, where real tissues vary by tens of per cent in each and real paths cross several tissues, fat absorbing more than liver and blood less. The dynamic range is a single number standing for the whole receiving chain, and the axial resolution is idealised as half a two-cycle pulse. The harmonic figure uses the simplest model of second-harmonic growth in a medium with linear absorption, without diffraction of the beam, and gives the shape of the depth dependence rather than absolute levels. And the count of resolvable depths is along one line; an image is a fan of lines, and its lateral resolution follows other rules.
Within those simplifications the central claim is robust, because it rests only on two proportionalities that hold well across the diagnostic band: absorption in tissue proportional to frequency, and pulse length proportional to wavelength.
Still open: how much an image can be pushed past its count
Several methods now aim to beat the fixed count. Coded excitation sends long pulses with a known pattern of phases and compresses them on reception, as radar does, raising the energy sent without raising the peak power that tissue safety limits, and so buying dynamic range. Ultrafast imaging sends plane waves instead of focused beams and forms images thousands of times a second, trading resolution per image for averaging over many. Super-resolution methods localise injected microbubbles, each smaller than the resolution, and build images of blood vessels at a tenth of the wavelength by plotting where thousands of them pass, as fluorescence microscopy beat its diffraction limit. How far each can go, given the tissue’s absorption and the limits on heating and on the mechanical effects of the pressure, and whether together they can raise the number of resolvable details by an order of magnitude, are being tested in clinics now.
The habit worth carrying away is to divide one limit by another before trying to improve either. In soft tissue the deepest echo a scanner recovers, D/2α₀f, and its axial resolution, Nc/2f, both fall as 1/f, so the number of resolvable depths along a line is D/(α₀Nc) — about 390 for 60 dB — at three megahertz and at fifty alike. Frequency chooses the magnification; the tissue and the electronics choose how much there is to see.
Part 8 of 8
This essay is one argument about Attenuation. The others:
The objects named here
The third axis, after the field and the reading path: the things themselves, and every essay that touches each one.
Acoustic attenuationAxial resolutionDynamic rangeHarmonic imagingPower law absorptionPulse echo imagingRelaxationUltrasound