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AJNR: American Journal of Neuroradiology logoLink to AJNR: American Journal of Neuroradiology
. 2011 Sep;32(8):1518–1524. doi: 10.3174/ajnr.A2508

Forensic Application of Postmortem Diffusion-Weighted and Diffusion Tensor MR Imaging of the Human Brain in Situ

E Scheurer a,b,c,, K-O Lovblad d,e, R Kreis f, SE Maier g, C Boesch f, R Dirnhofer c, K Yen a,b,c
PMCID: PMC7964364  PMID: 21659482

Abstract

BACKGROUND AND PURPOSE:

DWI and DTI of the brain have proved to be useful in many neurologic disorders and in traumatic brain injury. This prospective study aimed at the evaluation of the influence of the PMI and the cause of death on the ADC and FA for the application of DWI and DTI in forensic radiology.

MATERIALS AND METHODS:

DWI and DTI of the brain were performed in situ in 20 deceased subjects with mapping of the ADC and FA. Evaluation was performed in different ROIs, and the influence of PMI and cause of death was assessed.

RESULTS:

Postmortem ADC values of the brain were decreased by 49%–72% compared with healthy living controls. With increasing PMI, ADCs were significantly reduced when considering all ROIs together and, particularly, GM regions (all regions, P < .05; GM, P < .01), whereas there was no significant effect in WM. Concerning the cause of death, ADCs were significantly lower in mechanical and hypoxic brain injury than in brains from subjects having died from heart failure (traumatic brain injury, P < .005; hypoxia, P < .001). Postmortem FA was not significantly different from FA in living persons and showed no significant influence of PMI or cause of death.

CONCLUSIONS:

Performing postmortem DWI and DTI of the brain in situ can provide valuable information for application in forensic medicine. ADC could be used as an indicator of PMI and could help in the assessment of the cause of death.


In DWI, signal intensity strongly depends on the rate of water diffusion, which can be used quantitatively to determine ADC.1 The scalar FA derived from DTI adds detailed data on the average directionality of diffusion, which allows investigating connectivity and microstructural integrity of internal fibrous structures, such as neuronal tracts in the brain.25 In clinical medicine, both DWI and DTI of the brain have proved to be useful particularly to assess ischemia, edema, and structural integrity in many neurologic disorders and in traumatic brain injury.612

In the past 10 years, radiologic methods such as CT and MR imaging have been increasingly used in forensic medicine to address, among others, neurotraumatologic and neuropathologic issues.1315 The application of DWI and DTI to the postmortem brain is expected to support the diagnosis of brain parenchyma damage due to traumatic incidents on a microstructural level by noninvasively revealing edema and rupture of fiber tracts.16,17

Numerous postmortem DWI and DTI studies were performed in the animal and human brain; however, most evaluated the effect of formalin fixation and PMI on diffusion properties1823 or investigated isolated fixed human brains for the diagnosis of disease.24,25 To date, there are only very few studies on DWI or DTI in the postmortem unfixed human brain in situ that have concentrated on general characteristic changes in postmortem MR imaging and CT, including DWI on one hand and postmortem DTI in a single case with a brain stem trauma on the other.17,26

In this study, we aimed at the evaluation of a potential application of DWI and DTI and particularly ADC and FA in different regions of the postmortem brain in situ for the application in forensic diagnostics. The main goals were to assess the following: 1) whether there was an influence of the time since death on ADC and FA, which could be used for estimation of the PMI, and 2) whether there was a correlation with the cause of death.

Materials and Methods

Subjects

A consecutive sample of 20 deceased subjects with a forensic autopsy request by the legal authorities was included in this study (15 males, 5 females; mean age, 45 years; median, 46 years; age range, 3–94 years). Two healthy living volunteers (a man, aged 26 years; a woman, aged 31 years) were examined as controls. Before scanning, the corpses were examined externally by a forensic pathologist to ensure compliance with the inclusion criteria (ie, PMI at the time of inclusion <120 hours, no signs of decomposition, no history of neurologic disorder). PMI was determined either by witnessed death (eg, when death occurred in hospital) or by standard forensic methods (body temperature, livor and rigor mortis). For the evaluation of the quantitative effect of PMI, subjects were divided into 3 groups: PMI group 1, with PMI ≤24 hours (n = 7; mean age ± SEM, 38 ± 22.8 years), PMI group 2 with PMI 25–48 hours (n = 7, age, 52 ± 20.3 years), PMI group 3 with PMI >48 hours (n = 6, age, 45 ± 13.7 years). Mean ages in the groups were not significantly different from each other. In 12 subjects, the cause of death, as diagnosed at forensic autopsy after scanning, was traumatic; 3 had died from intoxication or medical maltreatment, and 5 from natural causes (Table 1). For the analysis of the influence of the cause of death, subject groups were defined as the following: 1) mechanical brain trauma (n = 4), with all subjects showing signs of a direct blunt force impact and intracranial hemorrhage and varying additional findings, such as skull fractures, cerebral contusions, and edema; 2) hypoxic brain injury caused by strangulation (n = 5); and 3) heart failure (n = 4). The study was approved by the local ethics committee, and informed consent was obtained from the living volunteers.

Table 1:

Case data

Case Age at Death [years] Incident Cause of Deatha Time of Death–MRI [hours] Tappb [°C]
1 53 Fall from great height Central respiratory arrest due to brain trauma 20 20
2 29 Natural death Heart failure 44 20
3 94 Motor vehicle crash (pedestrian) Central respiratory arrest due to brain trauma 45 10
4 63 Natural death Heart failure 49 5
5 44 Diving accident Heart failure due to gas embolism 51 5
6 45 Fall into a crevasse Organ failure due to hypothermia 73 12
7 29 Suicidal hanging Suffocation 13 30
8 79 Beating to death Heart failure due to pneumothorax and fat embolism 14 28
9 30 Suicidal hanging Suffocation 48 23
10 61 Motor vehicle crash (pedestrian) Heart & lung failure due to blood aspiration and pneumothorax 49 10
11 19 Incidental gas intoxication (propane & butane) Central respiratory arrest 14 25
12 46 Manual strangulation Suffocation 14 22
13 3 Natural death Central respiratory arrest due to suffocation (laryngitis) 19 8
14 46 Suicidal intoxication & hypothermia Central respiratory arrest and hypothermia (combined) 33 5
15 37 Natural death Heart failure 17 8
16 28 Incidental hanging Suffocation 141 5
17 58 Natural death Heart failure 25 10
18 29 Suicidal hanging Suffocation 61 15
19 58 Medical maltreatment Heart failure due to arterial air embolism 43 10
20 49 Hang-glider crash Central respiratory insufficience due to brain stem lesion 27 19
a

In cases with combined or concurring causes of death only the most relevant are mentioned.

b

Approximate body core temperature at the time of MR imaging

MR Imaging

MR imaging of the brain in situ was performed within 141 hours after death (mean, 40 hours; median, 38 hours; range, 13–141 hours) at 1.5T (Signa EchoSpeed Horizon, Version 5.8; GE Healthcare, Milwaukee, Wisconsin) by using a quadrature head coil. Depending on cooling time at 4°C, body core temperature at the beginning of the acquisition was between 5°C and 30°C (median, 11°C). The measurement was performed with a digital thermometer in the rectum. For MR imaging, the bodies were wrapped in 2 artifact-free body bags to prevent contamination and to guarantee anonymity.

Data were acquired in the axial orientation with a multisection line-scan sequence; for each section, 6 images with high b-values (bmax = 1000 s/mm2) in 6 noncollinear and noncoplanar directions [relative amplitudes: (Gx,Gy,Gz) = {(1,1,0),(0,1,1),(1,0,1)(−1,1,0),(0,−1,1)(1,0, −1)}] and 2 images with low b-values (5 s/mm2) were obtained. The imaging parameters were the following: TR/TE, 3520/96 ms; matrix, 128 × 128; FOV, 24 × 24 cm; NEX, 1; sections, 22; section thickness, 5 mm; section gap, 1 mm. Additionally, a standard protocol, including an axial T1-weighted (TR/TE, 400/14 ms), T2-weighted FSE (TR/TE, 4000/15 ms), STIR (TR/TE, 11 002/217 ms), and a fast multiplanar spoiled gradient-recalled acquisition in the steady state (TR/TE, 270/4.2 ms) sequence, was performed. Total scanning times ranged from 35 to 75 minutes.

For the living volunteers, the same protocol with parameters typical for in vivo examinations was used (DTI: TR/TE, 3392/84.5 ms; matrix, 128 × 128; FOV, 22 × 22 cm; NEX, 1; sections, 12; section thickness, 5 mm; section gap, 6 mm; and bmax, 1000 s/mm2).

Data analysis was performed on an Advantage Windows workstation (Version 9.1, GE Healthcare).

Evaluation of ADC and FA

Maps of ADC and FA were calculated on a pixel-by-pixel basis after zero-filling to a matrix size of 256 × 256. Quantitative measurements were performed by 2 independent examiners (neuroradiologist, 11 years of experience; forensic expert, 10 years of experience) section by section in anatomically specified ROIs (circular ROIs for ADC, 10 mm2; for FA, 20 mm2, respectively). ADC was measured bilaterally in 20 ROIs in GM and WM as well as regions with mixed proportions (ie, fractions of both white and gray matter, as listed in the On-line Table) and 1 ROI in the cerebellar vermis (Fig 1); FA was measured bilaterally in 9 ROIs in WM and mixed regions only (Table 2). For statistical evaluation, the ROIs were grouped in WM, GM, and all ROIs (ie, including ROIs with mixed tissue). Because diffusion is temperature-dependent, ADCs of the postmortem cases were temperature-corrected to 38°C by using a correction factor of 2% per degree Celsius according to the equation27: ADCTc = ADC(100% + 2%)(38°C-Tapp). The body core temperature measured at the start of the scan (Tapp) was used for the correction.

Fig 1.

Fig 1.

Trace-weighted image (b-value = 5 s/mm2) of a deceased subject showing the placement of ROIs for the evaluation of ADC values. ROIs are only shown unilaterally; the ROI in the medulla is not shown. The ROIs are the following: 1) pons, 2) cerebellum, 3) hippocampus, 4) mesencephalon, 5) vermis, 6) putamen, 7) pallidum, 8) temporal cortex, 9) internal capsule anterior, 10) internal capsule posterior, 11) thalamus, 12) occipital cortex, 13) corpus callosum genu, 14) corpus callosum splenium, 15) frontal WM, 16) caudate nucleus, 17) frontal cortex, 18) motor cortex, 19) centrum semiovale, and 20) parietal cortex.

Table 2:

FA in different ROIs

ROI FA
Postmortem Casesa
Living Controls
Mean SD Median Min Max Mean SD
Frontal white matter 0.25 0.05 0.25 0.15 0.34 0.22 0.01
Centrum semiovale 0.26 0.04 0.25 0.18 0.34 0.32 0.03
Internal capsule anterior 0.31 0.07 0.31 0.18 0.41 0.32 0.02
Internal capsule posterior 0.41 0.04 0.41 0.33 0.51 0.36 0.01
Corpus callosum genu 0.36 0.08 0.37 0.19 0.48 0.36 0.04
Corpus callosum splenium 0.49 0.08 0.51 0.32 0.59 0.56 0.04
Mesencephalon 0.31 0.05 0.30 0.24 0.49 0.43 0.03
Pons 0.31 0.05 0.31 0.23 0.39 0.31 0.04
Medulla 0.22 0.04 0.22 0.16 0.28 n.a. n.a.
a

Given are the mean, standard deviation, median, minimum, and maximum except case 9 (n = 19).

Forensic Autopsy and Histology

After MR imaging, autopsy was performed by 2 forensic pathologists within 24 hours, in 2 cases a few hours later (34 and 44 hours, respectively). Autopsy included detailed neuropathologic evaluation in all cases; histologic examination was performed from visible lesions. Visual comparison of MR images with autopsy findings and, if available, with their histologic correlates was performed.

Statistical Analysis

For analysis, ADC and FA measurements of both examiners were pooled for each ROI. The evaluation of effects of PMI and cause of death was performed with the Statistical Package for the Social Sciences, Version 17.0 (SPSS, Chicago, Illinois) by using a univariate analysis of variance with a Bonferroni post hoc correction for multiple tests (pair-wise comparisons). A P value of < .05 was considered significant. The brain regions were assigned to 3 groups (GM, WM, mixed) as shown in the On-line Table. The effect of PMI on ADC was evaluated once for all brain regions with PMI group and brain region as factors. A second analysis was calculated separately for GM and WM regions, respectively, with the PMI group as a factor. Additionally, the Pearson correlation of PMI and ADC was evaluated (2-sided). For the assessment of the effect of PMI on FA, only the PMI group was used as a factor because only WM and mixed tissue ROIs had been measured. The influence of a cause of death involving mechanical or hypoxic brain injury on ADC was assessed with cause of death and brain region as factors, while for the effect on FA, only cause of death was used as a factor.

Results

ADC

Good-quality DWI and DTI were acquired in deceased subjects as well as in healthy living volunteers. Figure 2 shows an example of postmortem and in vivo DWI and the ADC and FA maps in the respective subjects.

Fig 2.

Fig 2.

Example of a DWI image, b0 image, ADC map, and FA map of a healthy living volunteer (woman, 31 years) (top row) and a deceased subject (woman; age, 45 years; PMI, 73 hours; body temperature at acquisition, 12°C) (bottom row). A, DWI (b = 1000 s/mm2). B, Trace-weighted image with b-value = 5 s/mm2. C, ADC map. D) FA map.

The On-line Table summarizes mean, SD, median, and minimal and maximal values for the ADCTc in different brain regions in comparison with ADCs of the living controls. Mean postmortem ADCTc ranged from 21 × 10−5mm2/s (vermis of the cerebellum) to 41 × 10−5mm2/s (medulla). Postmortem ADCTc of GM with a mean ADCTc between 34 × 10−5mm2/s (frontal cortex) and 38 × 10−5mm2/s (occipital cortex) was significantly higher than ADCTc values in WM (P < .01) with a mean ADCTc between 29 × 10−5mm2/s (centrum semiovale) and 41 × 10−5mm2/s (medulla) and in mixed regions (P < .05). Compared with the ADCs of the living volunteers, which ranged from 67 × 10−5mm2/s (cerebellum) to 81 × 10−5mm2/s (hippocampus), postmortem ADCTc was considerably reduced. The greatest decrease was observed in the vermis, with a reduction of 72% compared with the ADC of the healthy living controls, while the least reduction was 49% in the occipital cortex.

Figure 3 compares the ADCs of the living controls with the postmortem values and shows the great decrease in all examined ROIs. In contrast to this huge effect, approximate temperature correction had only a minor influence.

Fig 3.

Fig 3.

Comparison of ADC of the postmortem cases with the living controls and demonstration of the effect of temperature correction on postmortem ADC. Data points are mean values for the respective ROI; error bars show the corresponding SD.

To evaluate the effect of the PMI on the ADCTc of different brain regions, we compared 3 groups. Group 1 had a mean PMI of 16 hours (SD, 3 hours; median, 14 hours; range, 13–20 hours), group 2 a mean PMI of 38 hours (SD, 9 hours; median, 43 hours; range, 25–48), and group 3 a mean PMI of 71 hours since death (SD, 36 hours; median, 56 hours; range, 49–141 hours). Within the 3 groups, the distribution of the causes of death (brain trauma, strangulation, and heart failure) was not significantly different. Figure 4 shows that with increasing PMI, postmortem ADCTc in the overall brain and in GM regions decreased significantly between group 1 and group 3 (all ROIs, P < .05; GM, P < .01), while there were no significant differences between groups 1 and 2, or between groups 2 and 3. In WM regions, no significant effect was observable. Correlation of ADC with PMI showed a decreasing linear trend; however, with a moderate and not statistically significant correlation coefficient of r = 0.42 for GM (P = .06).

Fig 4.

Fig 4.

Influence of PMI on ADCTc in all ROIs, GM, and WM, respectively. Whiskers show the maximum and the minimum values. A single asterisk indicates P < .05; double asterisks, P < .01.

The influence of the cause of death on the ADCTc in all ROIs and in GM and WM separately is demonstrated in Fig 5. The subjects having died from a natural cause due to cardiac failure had significantly higher ADCTc values in all brain regions than those who died from mechanical brain trauma (all ROIs, P < .005; GM, P < .005; WM, P < .05) or the subjects with hypoxic brain injury due to congestion resulting from strangulation (all ROIs, P < .001; GM, P < .001; WM, P < .001). There was no significant difference between the 2 types of brain injury, and no correlation between the cause of death and PMI.

Fig 5.

Fig 5.

Influence of mechanical brain trauma and hypoxic brain injury due to strangulation on ADCTc of all ROIs, GM, and WM, respectively. A group of brain trauma cases (n = 4) and a group of strangulation cases (n = 5) are compared with a group of subjects with natural death due to cardiac failure (n = 4). Whiskers show the maximum and the minimum values. A single asterisk indicates P < .05; double asterisks, P < .005; and triple asterisks, P < .001.

FA

Between the deceased subjects and the living controls, there was no significant difference concerning FA of all brain regions (Fig 6). Mean values were between 0.22 and 0.49 in the postmortem cases and between 0.22 and 0.56 in the living controls (Table 2). The highest FA was measured in the splenium of the corpus callosum in both postmortem and living subjects, while the lowest value was found in the medulla and frontal WM. The PMI did not have any significant effect on FA (ie, the pair-wise comparisons among the 3 groups of subjects did not show any significant difference [Fig 7 A]). FA was also stable regarding the influence of different types of brain injury (ie, mechanical brain trauma and hypoxic injury due to strangulation). None of the pair-wise comparisons reached significance when comparing the subjects with brain injury with those having died from cardiac failure (Fig 7 B).

Fig 6.

Fig 6.

Comparison of FA of the postmortem cases with the living controls in different brain regions. Data points are mean values for the respective ROI; error bars show the corresponding SD.

Fig 7.

Fig 7.

A, Influence of the PMI on FA in 3 groups of subjects (PMI < 24 hours, n = 7; PMI = 25–48 hours, n = 7; PMI > 48 hours, n = 6). Whiskers show the maximum and the minimum values. B, Effect of the cause of death—that is, mechanical brain trauma and hypoxic injury of the brain due to strangulation compared with heart failure—on FA. Whiskers show the maximum and the minimum values.

Traumatologic Changes

In 6 cases, traumatic changes of the brain were observed at autopsy, which were mainly intracerebral hematoma (n = 1), lacerations (n = 3), and subarachnoid (n = 8) and subdural hematomas (n = 3). Of these, 4 subarachnoid hemorrhages and 1 thin subdural blood layer were not seen on MR imaging. All other findings were detected with MR imaging with a good correlation to autopsy.

Discussion

ADC and FA were measured in the postmortem brain in situ to evaluate DWI and DTI for forensic application. Visual comparison of postmortem ADC maps with those in the living controls already showed clearly reduced diffusivity. Although differences in body temperature could well be one reason for this, postmortem ADCTc proved to be significantly decreased compared with the values of living subjects in all brain regions, confirming previous studies,26,28 agreeing also with clinical findings in acute ischemia due to cerebral occlusion.2931 Postmortem ADCTc values were significantly higher in GM than in WM. Because this observation was also reported in living subjects,32 this difference between gray and white matter seems to be preserved postmortem.

In forensic medicine, PMI (ie, the time span between death and either examination or fixation) is essential for criminal investigations. Particularly beyond approximately 30 hours after death, when the body reaches ambient temperature, objective methods are hardly developed.33,34 A significant difference of ADCTc was found mainly in the GM between the group with PMIs ≤1 day and that with PMIs of >2 days. This is in agreement with previous studies that investigated the effect of PMI in tissue samples of animal brain fixed at different time points after death.20,22 However, in contrast to these studies, no significant effect of PMI on ADC could be observed for WM. Linear correlation of ADC with PMI was moderate, which can be attributed to several reasons such as an overlay by the differences in the cause of death, incomplete data with higher PMIs, as well as an influence of noise and imperfect temperature correction. Additionally, the decrease may be nonlinear. However, the measurement of postmortem ADCTc in GM could emerge as a valuable method for a noninvasive and objective estimation of PMI.

Regarding the cause of death, ADCTc was significantly lower in all brain regions in 2 groups of subjects, with a cause of death associated with brain injury compared with subjects with cardiac failure. No significant difference between brain injury caused by mechanical trauma and hypoxic injury due to strangulation was found. The higher ADCTc in subjects with heart failure could be an indicator of the length of the process of dying (ie, agony). This would be in good agreement with the ADCTc values in the groups with brain injury, because according to forensic experience, agony is usually prolonged to several minutes in death due to cardiac failure, while in strangulation agony is expected to be very short, in some cases even shorter than in death due to mechanical brain trauma. In forensic medicine, the assessment of the cause of death can be challenging, particularly in cases without any exteriorly visible injuries. Thus, postmortem ADCTc could help in noninvasively differentiating natural death from death caused by occult brain injury mechanisms. Because ADC in WM seems to be less influenced by PMI, the evaluation of WM regions would be preferential to address this question.

Postmortem FA did not change significantly compared with the values of the healthy living volunteers. Additionally, PMI and the presence of brain injury did not show any significant change of FA. This observation disagrees with those in other studies, which found decreasing anisotropy following brain death.22,23,3537 However, direct comparison is difficult because in some of these studies, fixed brain or tissue samples were used while we examined entire unfixed brains in situ. An effect of fixation on most diffusivity indices has been shown but obviously does not affect all indices and locations of the brain equally.18,20,21,23 Small effects of PMI on FA may have been hidden by using all ROIs containing WM and mixed tissue; however, the obviously inconsistent effect of death on FA as seen in Fig 4 does not support such speculation. The FA values found in the healthy living volunteers were lower than those reported previously.11,38 This was probably caused by averaging over large ROIs with contamination by GM and WM regions with fiber crossings.

While most traumatic findings were seen in MR imaging, the detection of thin blood layers seems to be difficult. This is in agreement with previous results.39

Regarding limitations of this study, the influence of age, sex, and hemispheric differences was not evaluated because there were no significant differences between the investigated groups and, additionally, because they seem to have no or limited impact.28,32,40 The sample size of the investigated subjects was limited, and there is a need for corroboration of the results, particularly for the evaluation of the cause of death and a possible influence of agony. To minimize the effect of varying brain temperatures as a consequence of PMI, approximate temperature correction was performed. However, only body core temperature was available, which might differ from brain temperature. The cortical ADC measurements may have been influenced by partial volume effects with the surrounding CSF. Additionally, given the strongly reduced postmortem ADCs found in this study, the definition of ADC and FA would be more accurate if a much higher maximum b-value could be chosen than is normally used in vivo. For example, with the current finding of ADCTc being about half the in vivo value, a 3.5 times higher maximum b-value should be used at 10°C to reach a diffusion weighting comparable with in vivo. Whether this is possible with the same TE depends on the technically achievable gradient strengths of a particular MR imaging scanner.

Conclusions

Postmortem DWI of the brain in situ has the potential to improve forensic diagnostics, specifically regarding PMI estimation and definition of the cause of death. Additionally, the fact that the brain seems to remain structurally intact in the early postmortem period is relevant for future postmortem imaging studies.

Abbreviations

ADC

apparent diffusion coefficient

ADCTc

temperature corrected apparent diffusion coefficient

CC

corpus callosum

DWI

diffusion-weighted imaging

DTI

diffusion tensor imaging

FA

fractional anisotropy

FSE

fast spin-echo

GM

gray matter

HF

cardiac failure

MRI

MR imaging

n.a.

measurements not performed

PMI

postmortem interval

ROI

region of interest

SEM

standard error of the mean

STIR

short tau inversion recovery

STR

strangulation

Tapp

pproximate body core temperature at the time of MR imaging

TBI

traumatic brain injury

WM

white matter

Footnotes

Indicates article with supplemental on-line table.

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