Estimated Reading Time: 9 minutes In medical imaging, the transition to 3D reconstruction has introduced complex challenges, each critical to the accuracy of the final models. From ensuring high-quality data acquisition to selecting the right algorithms, these challenges demand precision and careful consideration. Overcoming these hurdles is vital for enhancing the effectiveness of 3D reconstructions in clinical settings, thereby improving patient diagnoses and treatment outcomes. The field stands poised for significant advancements, with continued research and interdisciplinary collaboration being key to future progress.
