Abstract
This study was aimed to realize the automatic segmentation of communicating hydrocephalus lesions in brain CT after decompressive craniotomy (DC) in patients with traumatic brain injury (TBI) and discover correlation between cerebrospinal fluid changes and communicating hydrocephalus. Based on the traditional fuzzy C-means (FCM) algorithm, a new segmentation method filter-based FCM (FBFCM) algorithm was proposed. With 56 TBI patients as the research objects, the hydrocephalus lesions in CT images of patients after DC were segmented. The segmentation success rate (SSR), the segmentation coefficient Epc, the segmentation entropy Epe, and the number of iterations were indicators reflecting segmentation performance of FBFCM. The region of interest (ROI) on the segmented image was used to study the patient’s cerebral aqueduct, foramen magnum, and C2 level of the cerebrospinal fluid velocity and flow, to analyze the characteristics of the occurrence of communicative hydrocephalus. It was indicated that average Epc of FBFCM algorithm was 0.9321 ± 0.0144, Epe was 0.1126 ± 0.0081, the average number of iterations was 14.42 ± 3.79, and the segmentation success rate was 96%. Moreover, the above four indicators had statistically considerable differences compared with those of the FCM algorithm and the hard clustering algorithm (HCM) ( P < 0.05). Analysis of the cerebrospinal fluid flow rate in patients with communicative hydrocephalus found that the cerebrospinal fluid flow rate at the midbrain aqueduct of the patient increased greatly. The net flow was 0.000 ± 0.004 mL/s in the aqueduct of the midbrain, 0.001 ± 0.006 mL/s in the foramen magnum, and 0.002 ± 0.004 mL/s in the C2 layer. In summary, the FBFCM algorithm is effective in the segmentation and processing of CT images, which can further improve the effect of this diagnosis. After examination, it is concluded that the cranial cerebrospinal fluid flow rate and flow of TBI patients are improved after DC treatment, so that the patient’s condition can be effectively relieved. It has promotion value with clinical application.
Highlights
Traumatic brain injury (TBI) is caused by traffic accidents and various factors in everyday life [1, 2]
It was found that Epc and Epe of filter-based FCM (FBFCM) were far superior to other algorithms (P < 0.05)
By comparing the number of iterations of different algorithms, it was found that the average number of iterations of FBFCM was 14.42 ± 3.79, which was statistically different from the fuzzy C-means (FCM) algorithm and the hard clustering algorithm (HCM) algorithm (P < 0.05)
Summary
Traumatic brain injury (TBI) is caused by traffic accidents and various factors in everyday life [1, 2]. After TBI, most patients chose conservative treatment [3,4,5], but when intracranial pressure (ICP) was consistently higher than 20–25 mmHg, decompressive craniotomy (DC) should be performed to remove intracranial hematoma and necrotic brain tissue to reduce intracranial pressure in patients with. Clinical studies suggested that the pathogenesis of PTH is due to the oversecretion of cerebrospinal fluid after DC, which leads to abnormal changes in cerebrospinal fluid circulation dynamics and leads to the massive accumulation of cerebrospinal fluid in the ventricular or intracranial subarachnoid space [9]. MRI can clarify the diagnosis, classification, and cause of hydrocephalus, which can make surgical plans and evaluate postoperative efficacy successively
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