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The use of cardiac devices, including mechanical circulatory support (MCS), cardiac implantable electronic devices (CIEDs), and pacing wires, has increased and significantly improved survival in patients with severe cardiac failure. However, these devices are frequently associated with acute brain injuries (ABIs) including ischemic strokes, intracranial hemorrhages, seizures, and hypoxic-ischemic brain injury which contribute substantially to morbidity and mortality. Computed tomography (CT) and magnetic resonance imaging (MRI), the standard imaging modalities for ABI diagnosis, can pose significant challenges in this patient population due to the risks associated with patient transportation and the incompatibility of ferromagnetic components of certain cardiac devices with high magnetic field of the MRI.

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Case: A 14-year-old male athlete presented with a 9-month history of low back pain, worse with hyperextension. Nonoperative management for bilateral L4 spondylolysis had been unsuccessful. The patient underwent a novel magnetic resonance imaging (MRI) that generated a synthetic computed tomography (sCT).

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Case: A 30-year-old man presented with left proximal tibia fracture (open Grade 3A) and a transverse lateral malleolus fracture (Weber B) following direct impact injury. Computed tomography revealed a rare posteromedial tubercle fibula fracture at the posterior inferior tibiofibular ligament (PITFL) insertion, with syndesmosis disruption. Initial damage control included an external fixator.

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A feature-based approach for atlas selection in automatic pelvic segmentation.

PLoS One

January 2025

Department of Radiation Physics, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.

Accurate and efficient automatic segmentation is essential for various clinical tasks such as radiotherapy treatment planning. However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. In this work, we have proposed an atlas selection procedure (subset atlas grouping approach, MAS-SAGA) which utilized both image similarity and volume features for selecting the best-fitting atlases for contour propagation.

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Image-guided Interventions for Core Muscle Injury and Other Disorders in the Pubic Symphysis.

Radiographics

February 2025

Department of Medical Imaging, The Ottawa Hospital, 501 Smyth Rd, Ottawa, ON, Canada K1H 8L6 (D.V.F., J.L.); Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada (D.V.F., J.L.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (D.V.F., J.L.); and Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada (T.M.).

Formerly termed or , core muscle injury (CMI) encompasses abnormality of structures within the so-called core, which is essentially the hip, abdomen, and pubis. Compared with data on image-guided procedures of other joints, information regarding procedures performed to address CMI and other disorders of the pubic symphysis is lacking. These procedures can be daunting given the joint's small size, surrounding critical neurovascular structures, and three-dimensional anatomy.

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