Brain volumetry: A quantitative approach for detecting region‐specific structural abnormalities
Bibliographic record
Abstract
In recent years, the conspicuous development and spread of imaging techniques, i.e. magnetic resonance imaging (MRI) and computed tomography (CT), have allowed non-invasive investigation of the three-dimensional (3D) gross anatomical structures of the brain. Volumetry is a quantitative approach using imaging techniques for detecting structural differences in organs among two or more groups. In our recent study, T2-weighted MRI-based volumetry revealed a dose-dependent volume reduction of the whole cerebellum by prenatal exposure to a single whole body X-irradiation in rats (Sawada et al. 2013). Here, we attempted the CT-based volumetry of the brain of a growth-retarded mouse (grt/grt), which is known as an animal model for primary congenital hypothyroidism (Sasaki et al. 2007). Brains from male homozygous (grt/grt, n = 5) and heterogeneous (grt/+, n = 5) mice at 15 weeks of age were soaked in 150 mg/mL nonionic iodinated contrast agent (Iopamiron, Bayer Schering Pharma, Japan) in a 7.5% paraformaldehyde solution at 4°C for 14 days to achieve a better contrast of the white and gray matter structures in inverted images by ex vivo micro-CT (Saito and Murase 2012). Then, CT images were acquired using 3D micro-CT (RmCT, Rigaku, Tokyo, Japan) with a resolution of 39 × 39 × 39 μm3, a tube voltage peak of 90 kV, and a tube current of 200 μA with a scan time of 8 min. Brain regions, i.e. the cerebrum, diencephalon, midbrain, pons, medulla oblongata and cerebellum, were semi-automatically segmented on CT images using the “Morpho” tool of SliceOmatic software ver 4.3 (TomoVision, Montreal, Canada) based on image contrast as well as the user's knowledge of the anatomy. 3D-rendered images of the brain were constructed using those segmented images. Furthermore, segmented areas of each brain region were measured, and the volumes were calculated by multiplying the combined areas by the slice thickness (39 μm). The total volume of segmented regions was regarded as the whole-brain volume. Computed tomography images could distinguish gray and white matter structures by their contrast, and the brain regions were grossly identifiable (Fig. 1A). 3D-rendered images revealed no obvious difference in the 3D morphology and structural organization of the brain between grt/grt and grt/ + (Fig. 1B). The volume of whole-brain was calculated based on CT images. A significantly decreased brain volume was noted in grt/grt (P < 0.05) (Fig. 1C). Such brain hypoplasia was attributed to a region-specific lower volume of the grt/grt cerebrum by two-way ANOVA and post-hoc testing (P < 0.001) (Fig. 1D). Representative sagittal computed tomography (CT) images, volume-rendered images and volumes of brain structures. (A) Sagittal CT image of the brain of grt/grt (left) and grt/ + (right). The structural organization and histoarchitecture of the brain were sustained in grt/grt. (B) Three-dimensional volume-rendered images of grt/grt (left) and grt/ + (right). The following brain structures were reconstructed: cerebrum (yellow); diencephalon (Dien, blue); midbrain (Mb, purple); pons (red); medulla oblongata (MOb, green); and cerebellum (Cb, orange). (C) Volume of brain. #P < 0.05 (Student's t-test). (D) Volumes of brain regions. Two-way ANOVA revealed significant effects on genotypes (F5,48 = 2611.988; P < 0.001), brain regions (F1,48 = 16.315; P < 0.001), and their interaction (F5,48 = 6.494; P < 0.001). **P < 0.001 (Fisher's least significant difference [LSD] test). Dien, diencephalon; aca, anterior part of anterior commissure; Cb, cerebellum; cc, corpus callosum; cp, cerebral peduncle; CPu, caudate putamen; DCN, deep cerebellar nucleus; ec, external capsule; gcc, genu of corpus callosum; Hip, hippocampus; Hyp, hypothalamus; lo, lateral olfactory tract; LV, lateral ventricle; Mb, midbrain; MOb, medulla oblongata; Ob, olfactory bulb; ot, optic tract; pc, posterior commissure; scc, splenium of corpus callosum; Th, thalamus. While grt/grt mice have a defect in tyrosylprotein sulfotransferase 2 (Tpst2) gene, the cerebral volume reduction revealed in the present volumetric analysis may be rather involved in the hypothyroid status of grt/grt mice (Kobayashi et al. 2001), because similar cerebral hypoplasia is obtained by experimentally-induced hypothyroid rats (Madeira et al. 1990). Thus, CT- or MRI-based volumetry can be screened changes in brain structures of small laboratory animal models. This approach is especially good to apply before using destructive approaches such as histological, biochemical and molecular biological analyses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".