The data quality and completeness of acquired images, which we refer to as integrity, is considered as the most important requirement in the image acquisition design of the Picture Archiving and Communication System (PACS). The Digital Imaging and Communications in Medicine (DICOM) standard significantly simplifies the task of acquiring radiological images from a DICOM compliant imaging system into the PACS. However, human interaction with the imaging system by changing the DICOM communication settings can result in missing images during the PACS image acquisition. A scheme based on the DICOM Query and Retrieve (Q/R) service class was developed to automatically identify and recover missing images. In addition, grouping sequential scanned images such as a CT and MR image series is another potential process that can miss images because of no indication of the end of series. Two methods are presented for determining the end of series and the pros and cons of each method are discussed in detail. Two experiments in a real clinical environment were conducted; one with and one without the Q/R implementation. The statistical results indicate two highlights from this work. First, the Q/R scheme faithfully recovered all missing images caused by human interaction with the DICOM compliant imaging system. Second, there was no single image slice missed when grouping slices into a series using the presented grouping algorithm in the two experimental periods.