Catheter obstruction is the commonest cause of shunt failure; freehand insertion at Keen's point leaves the tip free in cerebrospinal fluid in only one case in ten. We built a digital twin that recons...
arXiv:2610.33071v1 Announce Type: new Abstract: Digital twins of cerebral perfusion relate tracer dynamics to cerebral blood flow (CBF), blood volume (CBV) and mean transit time (MTT), but must be da...
arXiv:2609.39010v1 Announce Type: cross Abstract: Objective: Head and neck (HN) proton therapy spans six to seven weeks of anatomical change, while offline replanning takes about a week. We present a...
arXiv:2609.24725v1 Announce Type: cross Abstract: Head-and-neck anatomy changes over a six-to-seven-week proton course, and the anatomy of a later week cannot be imaged when the plan is made. We pres...
arXiv:2608.01602v2 Announce Type: replace Abstract: Cardiac digital twins convert clinical images into physiological measurements through observation operators, yet calibration studies often assume a...
arXiv:2609.16322v1 Announce Type: new Abstract: Surrogate credibility for fluid-structure interac- tion (FSI) requires distinguishing transfer across independent anatomies from interpolation within a...
The paper presents a closed‑loop system for registering segmented CT fracture fragments to fluoroscopy, providing calibrated uncertainty bounds and flagging implausible or ambiguous fragments. After each shot, the system updates all fragment registrations, stops or plans the next view based on whether new views keep fragment positions within their bounds, and uses uncertainty‑driven planning to reduce the number of shots needed. Experiments on simulated fluoroscopy of 60 held‑out pelvic fractures show that 95% of the bounds cover 83% of unflagged fragments, with 91% of those within 5 mm, and that a simple rule requiring no fragment to move beyond its bound reduces false stops from 23% to 6% at a 2 mm threshold. "whyItMatters":"The study demonstrates that calibrated uncertainty and view‑planning can make multi‑fragment 2D/3D registration reliable enough to guide pelvic fracture surgery, potentially improving surgical accuracy and efficiency."
arXiv:2608. 07606v1 Announce Type: cross Abstract: Despite advances in 3D ultrasound, most percutaneous cardiac interventions still rely on 2D visualization, limiting depth perception and spatial understanding.
arXiv:2608. 01839v1 Announce Type: new Abstract: Transcranial focused ultrasound (tFUS) requires accurate estimation of the intracranial acoustic field, which is distorted by skull-induced aberrations.
The paper audits a prenatal ultrasound biometry pipeline that predicts head circumference (HC) while certifying a maximum error rate rather than magnitude. Using two pre‑registered splits of 999 HC18 images, the authors retrain the segmenter three times per split and calibrate a contour‑completeness threshold via exact Clopper–Pearson risk control. Although the certified risk bound (α = 0.10) remains intact, the pipeline still produces a large 271.3 mm error on a single image, and tightening the admissibility region to an anatomically defined range reduces worst‑case errors to about 11 mm while only modestly affecting coverage.
The paper introduces Normal-Anchored Geometric Transport (NAGT), a source‑free adaptation technique that uses label‑free normal beats from the first five minutes of ECG recordings to compute a symmetric positive‑definite congruence map. NAGT applies this map only to normal and supraventricular prototypes while keeping ventricular and fusion prototypes unchanged, achieving a macro‑F1 improvement from 34.5% to 48.7% on a large chest‑patch cohort. The method also reduces ventricular false alarms by 68% and maintains 98.3% of normal beats outside alarm classes, with adaptation taking only 5.8 ms per record.
The paper reports the first demonstration of autonomous robotic navigation for endovascular brain‑computer interface access in the cerebral venous system. Soft Actor‑Critic controllers were trained in simulation to navigate from the right internal jugular vein to the superior sagittal sinus, and were evaluated both in silico and in vitro, achieving high success rates in simulation and 70% overall in physical runs. Online failure‑prediction models were also tested, detecting most failures with low false‑alarm rates, though calibration degraded when transferring from simulation to physical experiments.