Allergic rhinitis is an inflammatory condition of the nasal passages caused by an excessive immune response to allergens. Persistent symptoms may lead to anxiety and depression, diminishing patients’ quality of life. Drug therapy and other treatments can only provide relief and carry side effects, making preoperative path planning for surgery crucial. Traditional path planning methods rely on physician experience, affecting success rates. We propose an intelligent acupuncture needle path planning method. First, we combine threshold segmentation and region growing to segment the pterygopalatine fossa region and the skin puncture region on CT images. Next, we quantify multiple clinical criteria, screen feasible paths according to clinical hard and soft constraints, and introduce the Pareto method to address multi-objective optimization. Finally, clinical validation on the dataset identifies the path most aligned with clinical puncture requirements.