#Adobe photoshop 5.0 merging two phtos full
#Adobe photoshop 5.0 merging two phtos software

10, 11 Contours of the anatomical structures were manually drawn on the MRI papers and abbreviated names of the anatomical structures were annotated using a pen. Medical experts identified the anatomical structures by flipping the MRI papers and referring to atlases of serially sectioned images. By using Adobe Photoshop, the size of each MRI was adjusted to fit the A4 paper, and then each MRI was printed on it. MRIs were printed out on papers, where contours of the anatomical structures were drawn. Excessive margins of the MRIs were deleted, so that resolution (512 Г— 512) was reduced to 494 Г— 280 (Fig 1a) (Table 1).

#Adobe photoshop 5.0 merging two phtos software

The MRIs were converted from digital imaging and communication in medicine (DICOM) files (16 bits gray) to TIFF files (mr001.tifвЂ“mr557.tif, 8 bits gray) using PiView software (Infinitt Coв„ў). The MRIs on the workstation computer belonging to the MRI machine were transferred to the personal computer using picture archiving and communication system (PACS). The MRIs were transferred to a personal computer andconverted to tag image file format (TIFF) files.

The volunteer's entire body was scanned using consistent parameters (slice thickness: 3В mm, interslice gap: 0В mm, body coil, field of view: 480 Г— 480В mm, resolution: 512 Г— 512, repetition time: 800В msec, echo time: 8В msec, interleave method, number of excitation: two) to make 557 MRIs (intervals: 1В mm, pixel size: about 1 Г— 1В mm, T 1-weighted). Her posture and direction were adjusted appropriately for a horizontal scan and preventing movement.

The volunteer was supine on the MRI machine (GE Signa Horizon 1.5-T MRI System, Milwaukee, WI, USA).

#Adobe photoshop 5.0 merging two phtos full

Consent was obtained from the volunteer following a full explanation about the nature of this research. Proper segmentation was verified by making and examining the coronal, sagittal, and 3D images from the segmented images.ДЇor this research, a healthy Korean female (19 years old) with average body shape was selected. Thirteen anatomical structures in the anatomical images were also semiautomatically segmented using Adobe Photoshop to make 8,590 segmented images. The entire body of a cadaver was serially sectioned at 0.2-mm intervals to make sectioned surfaces, which were then digitalized to make 8,590 anatomical images (24 bits color). Nineteen anatomical structures in the MRIs were semiautomatically segmented using Adobe Photoshop to make 557 segmented images. Adobe Photoshop was used to develop semiautomatic segmentation techniques. The entire body of a volunteer was scanned at 3-mm intervals to make 557 MRIs, which were transferred to a personal computer (8 bits gray). To achieve this purpose, the following trials were performed. The segmented images are used for making 3D images, which are helpful to medical education and research. The purpose of this research is to enable the user to semiautomatically segment the anatomical structures in MRIs, CTs, and other medical images on a personal computer. We were only able to find a report in which Adobe Photoshop was used for image processing of photographs in ophthalmoscopy. We have not been able to find a systematized technical report, in which Adobe Photoshop was used for segmentation of medical images. However, many difficulties are encountered indeveloping an independent segmentation software that satisfies these conditions 6 вЂ“ 8 therefore, wedecided to use the popular Adobe Photoshop (version 7.0, Adobeв„ў) for segmentation. On a personal computer, in order to segment various kinds of anatomical structures in MRIs and CTs, the segmentation software should perform the following functions: use suitable algorithms, regulate the extent of automatization, present a convenient user interface, and prevent software bugs from occurring. 3 вЂ“ 5 However, for medical education and research, segmentation needs to be performed on a personal computer for wider access. 1, 2 Segmentation is usually performed on a workstation computer connected to MRI and CT machines. In magnetic resonance images (MRIs) and computerized tomographs (CTs), anatomical structures including pathological lesions are segmented to make three-dimensional (3D) images, which are helpful to diagnosis and treatment.